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  • 2020-2024  (78)
  • Singapore : Imprint: Springer  (76)
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  • Quantitative research.  (59)
  • Konferenzschrift
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  • 1
    Book
    Book
    Weiterbildung in Europa - Chancen für Innovation und Beschäftigung : = Continuing education and training in Europe - opportunities for innovation and employment = La formation continue en Europe - son apport à l'innovation et à l'emploi : 1. Europäischer Weiterbildungskongress, Berlin, 1986, 9.-10. Oktober (1986-)
    Berlin
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    Language: German , English , French
    Keywords: Konferenzschrift
    Note: Beitr. teilw. dt., teilw. engl., teilw. franz
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  • 2
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    Proceedings of the 7th International Conference on Economic Management and Green Development (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
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    ISBN: 9789819705238
    Language: English
    Pages: 1 Online-Ressource (XXI, 2074 p. 571 illus., 470 illus. in color.)
    Series Statement: Applied Economics and Policy Studies
    Parallel Title: Erscheint auch als
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    Keywords: Finance, Public. ; Political planning. ; Management. ; Public Health ; Social Innovation ; Sustainable Development ; Corporate Innovation ; Green Development ; Public Service ; Konferenzschrift
    Abstract: Research of the Impacts of Goal Setting on Enterprises from a Corporate Social Responsibility Perspective -- Identification and Analysis of Risk Spillover Effect of Commercial Banks in China -- Research on the Factors Affecting Inequality -- Evidence from China -- Analysts' Characteristics and Forecast Ability--An Empirical Study from China’s A-Share Market -- A Review of ESG Research in China: From the Perspective of Chinese Enterprises -- Challenges and Opportunities of Digital Construction of Chinese Grassroots Government in the Information Age - - Taking the Construction of "Four Platforms" in Zhejiang Province as an Example.
    Abstract: Economics has always been a heated research topic and green development is rising and integrating with various fields for interdisciplinary studies. Initiated in 2017, the International Conference on Economic Management and Green Development (ICEMGD) is an annual conference aiming at bringing together researchers from the fields of economics, business management, public administration, and green development for the sharing of research methods and theoretical breakthroughs. The 7th International Conference on Economic Management and Green Development (ICEMGD 2023) was held on August 6, 2023. It was a hybrid conference including several on-site workshops and an online session. The workshops were held in London, Galaţi, Birmingham, Sydney, and Beijing. The proceedings consist of papers accepted by ICEMGD 2023, which are carefully selected and reviewed by professional reviewers from corresponding research fields and the editing committee of the conference. The papers have a diverse range of topics situated at the intersecting fields of economic management, public administration, and green development. ICEMGD is working to provide a platform for international participants from fields like macro- and microeconomics, international economics, finance, agricultural economics, health economics, business management and marketing strategies, regional development studies, social governance, and sustainable development. This proceedings volume, together with the conference, looks forward to sparking inspiration and promoting collaborations. This book will be of interest to researchers, academics, professionals, and policymakers in the fields of economic management, public administration, and development studies. .
    DOI: 10.1007/978-981-97-0523-8
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  • 3
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    Statistics and Data Analysis for Engineers and Scientists (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
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    ISBN: 9789819946617
    Language: English
    Pages: 1 Online-Ressource(IX, 180 p. 259 illus., 230 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Transactions on Computer Systems and Networks
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Quantitative research. ; Mathematical statistics ; Engineering
    Abstract: General Overview -- Introduction to MATLAB -- The Fundamentals of Microsoft Excel -- Introduction to SPSS.
    Abstract: This textbook summarizes the different statistical, scientific, and financial data analysis methods for users ranging from a high school level to a professional level. It aims to combine the data analysis methods using three different programs—Microsoft Excel, SPSS, and MATLAB. The book combining the different data analysis tools is a unique approach. The book presents a variety of real-life problems in data analysis and machine learning, delivering the best solution. Analysis methods presented in this book include but are not limited to, performing various algebraic and trigonometric operations, regression modeling, and correlation, as well as plotting graphs and charts to represent the results. Fundamental concepts of applied statistics are also explained here, with illustrative examples. Thus, this book presents a pioneering solution to help a wide range of students, researchers, and professionals learn data processing, interpret different findings derived from the analyses, and apply them to their research or professional fields. The book also includes worked examples of practical problems. The primary focus behind designing these examples is understanding the concepts of data analysis and how it can solve problems. The chapters include practice exercises to assist users in enhancing their skills to execute statistical analysis calculations using software instead of relying on tables for probabilities and percentiles in the present world. .
    DOI: 10.1007/978-981-99-4661-7
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  • 4
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    Artificial Intelligence and Autoimmune Diseases : Applications in the Diagnosis, Prognosis, and Therapeutics (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819990290
    Language: English
    Pages: 1 Online-Ressource(XIX, 323 p. 67 illus., 62 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1133
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Medical informatics. ; Quantitative research.
    Abstract: Autoimmune Disorders: Types, Symptoms and Risk Factors -- Immune System and Autoimmunity: Cellular and Molecular Mechanisms -- Autoimmune Diseases: Recent Insights on Epidemiology, Pathogenesis and Prevalence Rate -- The Role of Artificial Intelligence and Machine learning in Autoimmune Disorders -- Autoimmune Autonomic Disorder: AI-based Diagnosis and Prognosis -- Detection of Rheumatoid Arthritis using CNN in Autoimmune Diseases Disorders -- The Emerging Applications of Machine Learning in the Diagnosis of Multiple Sclerosis -- Exploring State-of-the-art CNN Models for Early Detection of Multiple Sclerosis using MRI Images -- AI-assisted Model for Risk Detection of Autoimmune Diseases -- Artificial Intelligence in the Diagnosis and Treatment of Rheumatoid Arthritis: Current Status and Future Perspectives -- Data Analytics for Diagnosis, Tracking, and Treatment Planning in Autoimmune Diseases using AI -- Role of Artificial Intelligence in the Treatment Management of Psoriatic Arthritis -- Artificial Intelligence, Machine Learning and Deep Learning in the Diagnosis and Treatment of Rheumatoid Arthritis: Case Studies -- Artificial Intelligence and Machine Learning Techniques in the Diagnosis of Type I Diabetes: Case Studies -- Computational Intelligence Methods for Biomarkers Discovery in Autoimmune Diseases: Case Studies -- AI-empowered Prediction of Prognosis and Treatment Response in Rheumatoid arthritis.
    Abstract: The book provides an overview of various autoimmune disorders and how artificial intelligence (AI) and machine learning will be used for the diagnosis, prognosis, and treatment of these disorders. AI algorithms are used to create synthetic patient populations with the properties of actual patient cohorts, build personalized predictive models of drug combinations and unravel complex relationships between diet, microbiome, and genetic line-up to determine the comparative treatment response. The book highlights clinical applications and challenges of AI for the diagnosis and treatment/management of autoimmune disorders which includes Rheumatoid Arthritis (RA), Multiple Sclerosis (MS), Type I Diabetes, Psoriatic Arthritis (PsA), and other critical diseases.
    DOI: 10.1007/978-981-99-9029-0
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  • 5
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    Communication and Applied Technologies : Proceedings of ICOMTA 2023 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
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    ISBN: 9789819972104
    Language: English
    Pages: 1 Online-Ressource(XIV, 573 p. 121 illus., 101 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Smart Innovation, Systems and Technologies 375
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Quantitative research. ; Medical informatics.
    Abstract: Design of an energy management system for microgrids applied to an isolated system incorporating solar thermal energies -- A Digital REBA System Based on Kinect and its Benefits for Ergonomic Assessment -- Social Network Addiction: A Structural Equation Modelling -- The use of neural networks for the prediction of type II diabetes: a comparison of recent advances and perspectives -- Sequential prompts and AI to illustrate a Mexican legend using syntography -- Teaching skills mediated by perceived utility and ease of use in student motivation and collaboration -- Electronic Immunization Record for rural communities in México -- Automation of Brand Management: Possibilities, Challenges and Limitations -- Truth and newsworthiness in the era of Artificial Intelligence -- Emerging technological ecosystem for public administration: business intelligence, artificial intelligence and data mining -- Technology and Video Surveillance in educational spaces: A path towards citizen security -- Unraveling the Truth: Investigating the Spread of Fake News on Facebook during the COVID-19 Crisis -- Young people and social representations on artificial intelligence in Peru and Colombia -- An analysis of digital communication in Spanish agricultural cooperatives -- Use of social networks as a factor for the development of digital citizenship in Puebla -- “Do It Yourself” Narrative as a New Type of Tourism Influencers 2.0 on YouTube -- Big Data Analysis of Google Searches for Prediction of Election Results: A Longitudinal Study -- Communication 2.0 in Iberoamerican cultural websites -- Cross-cultural validation of a questionnaire on digital teaching competence in Mexico -- Digital transformation in Spain during the pandemic: Access, interaction and change in habits -- Scholarships assignments: an important challenge of resources allocation. Case study: Completion Prediction System for Mexican Institution -- Social Network Sites: Challenge for a learning management model. Case study in Ecuador -- Cybersecurity and journalism: Digital violence is another form of violence for female journalists in Ecuador -- Management of employer branding and communication 2.0 -- Digital citizenship through online media. Manifestations and perceptions in Ecuador.
    Abstract: This book features selected papers from the International Conference on Communication and Applied Technologies (ICOMTA 2023), jointly organized by the Colombian Association of Journalism and Science Communication (Colombia), and the Benemerita Universidad Autonoma de Puebla (Mexico); and as collaborators at the Universidad de Málaga (Spain), Universidade de Vigo (Spain), Universidade de Santiago de Compostela-Equipo de Investigaciones Políticas (Spain), Red Internacional de Gestión de la Comunicación (XESCOM),the International Media Management Academic Association (IMMAA), Red de Investigadores en Comunicación de Ecuador (RICE), and Observatorio Interuniversitario de Medios Ecuatorianos (OIME), during 6 – 8 September 2023. It covers recent advances in the field of digital communication and processes, digital social media, software, big data, data mining and intelligent systems.
    DOI: 10.1007/978-981-99-7210-4
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  • 6
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    Proceedings of Data Analytics and Management : ICDAM 2023, Volume 2 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819965472
    Language: English
    Pages: 1 Online-Ressource(XXVII, 665 p. 298 illus., 254 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 786
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Telecommunication. ; Quantitative research. ; Data protection.
    Abstract: Chapter 1: Sentiment Classification on Suicide Notes Using Bi-LSTM Model -- Chapter 2: Machine Learning based Blind Image Quality Assessment: A Review -- Chapter 3: Analysis Of Block Chain Technology Iot And Rpa In Supply Chain Management -- Chapter 4: Sentiment hotspots extraction in large text documents using neutrosophic sets -- Chapter 5: Peak Hour Demand Prediction for Sharing Bikes: A Comparative Analysis of Performances of Machine Learning Models -- Chapter 6: Prediction Based Analysis of Die-sel Prices using Naïve Bayes Classifier Model -- Chapter 7: Abnormality detection in smart-phone captured chest radiograph using multi-pretrained models -- Chapter 8: Offensive Tweets Detection In Hinglish Using HingBERT -- Chapter 9: Unlocking the Potential of Mobile Computing for Infusing Computational Thinking Using Social Cognitive Approach in Higher Education Institutes -- Chapter 10: Deep Learning Applications in Thermal IR Image Processing. etc.
    Abstract: This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2023), held at London Metropolitan University, London, UK, during June 2023. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students. The book is divided into four volumes.
    DOI: 10.1007/978-981-99-6547-2
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  • 7
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    Proceedings of Data Analytics and Management : ICDAM 2023, Volume 1 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
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    ISBN: 9789819965441
    Language: English
    Pages: 1 Online-Ressource(XXVI, 695 p. 284 illus., 221 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 785
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Telecommunication. ; Quantitative research. ; Data protection.
    Abstract: Chapter 1: Diagnosis of Parkinson disease using Ensemble methods for Class Imbalance Problem -- Chapter 2: A Comparative Analysis of Pneumonia Detection Using Chest X-Rays With DNN -- Chapter 3: Machine Learning Based Binary Sentiment Classification of Movie Reviews in Hindi (Devanagari Script) -- Chapter 4: Deep Learning-Based Recommendation Systems: Review and Critical Analysis -- Chapter 5: Retention in Second Year Computing Students in a London-Based University During The Post-Covid-19 Era Using Learned Optimism as a Lens: A Statistical Analysis in R -- Chapter 6: Alzheimer’s Disease Knowledge Graph Based on Ontology and Neo4j Graph Database -- Chapter 7: Forecasting Bitcoin Prices in the Context of the COVID19 Pandemic Using Machine Learning Approaches -- Chapter 8: Online Food Delivery Customer Churn Prediction: A Quantitative Analysis on the Performance of Machine Learning Classifiers -- Chapter 9: Prevention Equipment for COVID-19 Spread Using IoT and Multimedia-Based Solutions -- Chapter 10: Renal Disease Classification using Image Processing. etc.
    Abstract: This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2023), held at London Metropolitan University, London, UK, during June 2023. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students. The book is divided into four volumes.
    DOI: 10.1007/978-981-99-6544-1
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  • 8
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    Proceedings of International Conference on Information Technology and Applications : ICITA 2023 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
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    ISBN: 9789819983247
    Language: English
    Pages: 1 Online-Ressource(XXVII, 630 p. 194 illus., 157 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 839
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Telecommunication. ; Quantitative research.
    Abstract: 1. Exploring Practical Applications of Blockchain in Waste Management: Insights from Industry Experts -- 2. Uncovering Hidden Connections: Granular Relationship Analysis in Knowledge Graphs -- 3. Visually Detecting Drones in Drone Swarm Formations Topologies -- 4. Comparison of deep learning and machine learning algorithms to diagnose and predict breast cancer -- 5. Overcoming the Challenges of Data Harmonization: A platform approach from Li-Ion Battery Research -- 6. Exploring the effects of technology in fintech industry: a literature review to provide a research agenda -- 7. Effectiveness Of Internal Evaluation Matrices For Community Detection Based On Clustering.
    Abstract: This book includes high-quality papers presented at 17th International Conference on Information Technology and Applications (ICITA 2023), held in Turin, Italy during 20 – –22 October 2023. The book presents original research work of academics and industry professionals to exchange their knowledge of the state-of-the-art research and development in information technology and applications. The topics covered in the book are cloud computing, business process engineering, machine learning, evolutionary computing, big data analytics, internet of things and cyber-physical systems, information and knowledge management, computer vision and image processing, computer graphics and games programming, mobile computing, ontology engineering, software and systems modelling, human computer interaction, online learning /e-learning, computer networks, and web engineering.
    DOI: 10.1007/978-981-99-8324-7
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  • 9
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    Proceedings of Second International Conference on Intelligent System : ICIS 2023 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
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    ISBN: 9789819989768
    Language: English
    Pages: 1 Online-Ressource(XII, 518 p. 271 illus., 218 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Algorithms for Intelligent Systems
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Telecommunication. ; Quantitative research. ; Data protection.
    Abstract: Deep Convolutional Neural Networks for Brain Tumor Image Segmentation -- A Comparison and Evaluation of Handwritten Digit Recognition (HDR) Algorithms -- An Analysis of Machine Learning Algorithms for AQI Prediction -- Application of The Harmonic Runge-Kutta with Forward-Backward Technique by Parallelism -- A preconditioned conjugate gradient multigrid method for multi-material topology optimization -- Generated Graph for Text Encryption Algorithm Based on BRHC Curve -- Issues and Challenges of Digital Banking System -- Impact of COVID-19 Pandemic on Assessment Process of Technical Education System-Analysis and Critical Review -- Ensuring Energy Efficiency using AI and Nudge Theory to Reach Sustainable Development Goals: A Research Framework -- Configuration and Evaluation of Models for Ecological Systems the case of distribution of Koala -- Design and Experiments of a Manta-Ray Robot for STEM Education -- Price forecast for Imbalanced Label Data by Meta Heuristic model -- Unmanned Aerial Vehicles(UAVs): Performance Analysis of Routing Protocols for Optimized Operations -- Processing the missing value based on the linear regression approach -- Comparative Analysis for Test Case Prioritization using Particle Swarm Optimization Firefly Algorithm -- Improving object detection versatility with 6G in VANETS -- Analysis of Human Behavior on Movie Review -- Artificial Intelligence (ΑΙ) in Education-Current Trends -- The Study of Randomness Properties Exhibited by LAO-3D Lightweight Block Cipher Algorithm -- Association Rule Mining Based Food Preferences Analysis Using FP-Growth Method -- Studies on potential conflicts of network densification in 6G -- Machine Learning Framework for Detecting Fake News over Social Media Platforms -- Analysis and Detection of Political Fake News Using Deep Learning With High-Performance Hybrid-Model -- Wasserstein barycenters over Heisenberg group -- BlockChain Technology with High Performance Via Parallel Processing -- Customer Churn Prediction Model using Deep Learning -- Artificial Intelligence Use in Maritime And Ports Industry as Smart Multimodal Hubs - Emerging Trends -- On-line wear measurement for micro turning round tip tool based on machine vision -- Logistic Regression based Legal Prediction Model -- A Comprehensive Approach for Predicting Different Types of Retinal Detachment with ML algorithms -- Diabetic Retinopathy Automatic Detection and Classification in fundus Images using Modified Residual Convolutional neural networks (CNN) with improved accuracy -- Properties of Idealization Graph over a Ring -- Research Arima Model Forecasts Student's Graduation Rate -- A Home LPM System Based on WSN -- Privacy Preservation Using Network Coding Against Traffic Analysis in Wireless Network -- Optimized Back Propagation based Deep residual Learning Network Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus images -- Use Data Augmentation Model in Image Segmentation -- A prototype for Lung Cancer Forecasting Using Convolution Neural Network Method -- Utilizing Blockchain Technology for Farmer Identity Management and Land Registry Systems in Agriculture -- IoT and Big Data Analytics for Smart Healthcare 4.0 Applications -- 5G Networks with Mm Wave Communications For Enhanced Communication Range. -- Dynamic Load Balancing Schemes for Software Defined Networking (SDN) -- Symmetric Encryption Scheme Based on Fuzzy Graph -- MED-H: Smart Healthcare System Based on IoT and Rule Set -- Landscape View of Hyperparameter Optimization Cybersecurity by Using Bio-inspired Algorithm -- A Multi-hop routing with energy efficient using agglometrive hierarchical clustering using wireless sensor networks in SIOT -- A Study in Understanding the Role of Key Measures in Applying Machine Learning Models for Effective Risk Management in Banking Industry With Focus on Private Banks In India. -- A Converter Tool to Transform the Android Mobile Application into Java Codes for Software Testing -- Genetic Algorithm based Neural Network for Vegetable Price Forecasting on E-Commerce Platform: A Case Study in Malaysia -- A System for Biomedical Image Processing of Brain Tumor via Segmentation and Pattern Recognition.
    Abstract: This book gathers selected high-quality research papers presented at the Second International Conference on Intelligent System (ICIS 2023), organized by Industrial University of Ho Chi Minh City, Vietnam during September 29–30, 2023. It discusses high-quality and cutting-edge research in the areas of informatics, intelligent systems, and smart technologies and applications. The book is a collection of the latest research articles in intelligent control, artificial intelligence, neural networks, knowledge discovery, decision support systems, soft computing, data mining, and ontologies, machine learning, intelligent measurement, and other related fields.
    DOI: 10.1007/978-981-99-8976-8
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  • 10
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    Space Data Management (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819700417
    Language: English
    Pages: 1 Online-Ressource(XI, 162 p. 48 illus., 42 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Big Data 141
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Space. ; Science ; Quantitative research.
    Abstract: Digital Innovation in Space Science -- Legal regimes for Space data -- Regulating space data management -- High Performance Computing, AI, the Metaverse and quantum computing to transform space data management -- AI applications of Space Data -- Blockchain-enabled Satellite Onboard Computing for Smart Contract: Benefits for Multi-sided Markets and IoT Applications -- On the use of available space monitoring data for improving the risk of collision avoidance -- Optimising collection, transmission and transformation of space data to take up security challenges -- A Fragile Watermarking Approach for Earth Observation Data Integrity Protection -- Deepness: Deep Neural Remote Sensing QGIS Plugin -- Earth Observation Data Transfer at Limitations of Small Satellite Missions -- Earth Observation Data Management and Offer: the experience of the ARIC -- Using satellite data to estimate NO2 concentrations in mainland UK from 2005 to 2021 -- Integration of Terrestrial and Non-Terrestrial Networks: challenges and perspectives within the RESTAR project -- Estimate the ice volume of Earth’s glaciers with deep learning and remote sensing -- Can life exist without water? A data driven approach.
    Abstract: The book presents latest results pertaining to challenges faced by researchers in space data management. There are large number of highly important applications that currently rely upon data from satellites and space missions, ranging from weather prediction to monitoring of environmental pollution, climate change, marine traffic, agriculture, and urban planning, etc. The quality and quantity of space data poses new and specific challenges to the scientific community, covering the entire life cycle of space data management and with a need for an interdisciplinary approach. The chapters written by experts discusses impacts of these challenges, and report activities that can stimulate new research.
    DOI: 10.1007/978-981-97-0041-7
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  • 11
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    Python for Water and Environment (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
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    ISBN: 9789819994083
    Language: English
    Pages: 1 Online-Ressource(XIX, 288 p. 92 illus., 89 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Innovations in Sustainable Technologies and Computing
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Python (Computer program language). ; Quantitative research. ; Environmental education.
    Abstract: Data Analysis in the Water and Environment -- Python Environment and Basics -- Python Essentials -- Exploratory Analysis of Hydrological Data -- Graphical Hydrological Data Analysis -- Curve Fitting and Regression Analysis -- Hydrological Time Series Analysis -- Common Hypothesis Testing -- Uncertainty Estimation -- Introduction -- Surface Flow Models -- Subsurface Flow Models -- Transport Phenomena -- Contaminant Transport Models -- Conclusion.
    Abstract: This textbook delves into the practical applications of surface and groundwater hydrology, as well as the environment. The Part I, "Practical Python for a Water and Environment Professional," guides readers through setting up a scientific computing environment and conducting exploratory data analysis and visualization using reproducible workflows. The Part II, "Statistical Modeling in Hydrology," covers regression models, time series analysis, and common hypothesis testing. The Part III, "Surface and Subsurface Water," illustrates the use of Python in understanding key concepts related to seepage, groundwater, and surface water flows. Lastly, the Part IV, "Environmental Applications," demonstrates the application of Python in the study of various contaminant transport phenomena.
    DOI: 10.1007/978-981-99-9408-3
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  • 12
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    Data Science and Big Data Analytics : Proceedings of IDBA 2023 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819991792
    Language: English
    Pages: 1 Online-Ressource(XIV, 747 p. 338 illus., 248 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Data-Intensive Research
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    Keywords: Computational intelligence. ; Quantitative research. ; Data mining. ; Data protection.
    Abstract: Analysing the role of social influence in adoption of technology for student assessment in Indian management institutions -- Plastic and Non-Plastic Waste Classification using Machine Learning Techniques -- Prediction of Customer Satisfaction in E- banking Services through Neural Network Approach -- Role of AI and Machine Learning in Mental Healthcare -- Proposed a mechanism to precise diagnostics in X-ray film using Fuzzy Logic Controller -- Human Gender Classification of Males and Females in a Crowd using Deep Learning Techniques -- Analysis on prediction of crop diseases using TensorFlow with Keras and OpenCV technique of deep learning -- Design of convolutional encoder for multivalued logic -- Improving the efficiency of water quality prediction using the Supertml approach in machine learning -- Probabilistic Data Structure using hashing technique for big data security de- duplication in cloud environment -- Malicious account detection using ANN -- Performance Evaluation of LiCi-2Ultra-lightweight Block Cipher.
    Abstract: This book features high-quality research papers presented at the Third International Conference on Data Science and Big Data Analytics (IDBA 2023), organized by Sri Aurobindo Institute of Technology, Indore, India, in association with ACM and IEEE Computer Society in hybrid mode during June 16–17, 2023. This book discusses the topics such as data science, artificial intelligence, machine learning, quantum computing, big data and cloud security, computation security, big data security, information security, forecasting, data analytics, mathematics for data science, graph theory and application in data science, data visualization, computer vision, and analytics for social networks.
    DOI: 10.1007/978-981-99-9179-2
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  • 13
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    Data Analytics and Learning : Proceedings of DAL 2022 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819963461
    Language: English
    Pages: 1 Online-Ressource(XIII, 252 p. 180 illus., 112 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 779
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Data mining. ; Signal processing. ; Quantitative research.
    Abstract: A Two Stage Word Spotting Scheme for Historical Handwritten Devanagari Documents -- 3D Object Detection in Point Cloud using Key Point Detection Network -- IRIS and Face-Based Multimodal Biometric Systems -- A Survey on Detection of Diseases in Plants Using Computer Vision Based Model -- An Approach to Conserve Wildlife Habitat by Predicting Forest Fire using Machine Learning Technique.
    Abstract: This book presents new theories and working models in the areas of data analytics and learning. The papers included in this book were presented at the second International Conference on Data Analytics and Learning (DAL 2022), which was organized by the Department of Computer Science & Engineering, Alva’s Institute of Engineering and Technology, Moodbidri, Mangalore, Karnataka, India, in association with the Department of Studies in Computer Science, University of Mysore, Mysuru, Karnataka, India. The areas covered include pattern recognition, image processing, deep learning, computer vision, data analytics, machine learning, artificial intelligence, and intelligent systems.
    DOI: 10.1007/978-981-99-6346-1
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  • 14
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    Intelligent Data Analytics in Business : Select Proceedings of ICDABM 2022 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819953585
    Language: English
    Pages: 1 Online-Ressource(VIII, 194 p. 59 illus., 52 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Electrical Engineering 1068
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Quantitative research. ; Artificial intelligence. ; Business information services.
    Abstract: Chapter 1. Examining Socially Responsible Investing Behaviour of Individuals based on Expert Opinion using DEMATEL -- Chapter 2. Research on the Ecological Environment Evaluation of Technological Talents in the Shuangcheng Economic Circle of Chengdu Region -- Chapter 3. Current Landscape & Future Prospects of Community Healthcare Information System: A Conceptual study w.r.t Indian Healthcare -- Chapter 4. Fake News Detection Using Machine Learning -- Chapter 5. Status of basic Digital Tools Awareness among Women Vegetable Vendors and consequences-Hyderabad local markets -- Chapter 6. Influence of COVID-19 on Punjab Textile Industry -- Chapter 7. A New Transformation for Manufacturing Industries with Big Data Analytics and Industry 4.0 -- Chapter 8. Analysis for Detection in MANETs: Security Perspective -- Chapter 9. Exploring the Role of Business Intelligence Systems in IoT-Cloud Environment -- Chapter 10. Leading a Culturally Diverse Team in the Workplace -- Chapter 11. An Integrated Secure Blockchain and Deep Neural Network Framework for Better Agricultural Business Outcomes -- Chapter 12. ASCII Strip Based Novel Approach of Information Hiding in Frequency Domain -- Chapter 13. Investigating the Mediating Effect of EWOM While Exploring a Destination in Uttarakhand: A Tourist Perspective -- Chapter 14. Investigating the Factors that lead towards Intention to use Mobile commerce among Higher Education students -- Chapter 15. Strategic Plans for Market Campaign Using Machine Learning Algorithms -- Chapter 16. Gap Analysis of Electricity Demand and Supply in perspective of PROSUMERS of 5 KW Solar Rooftop Plants in Uttarakhand.
    Abstract: This book includes peer-reviewed contributions presented at the International Conference on Data Analytics in Business and Marketing, ICDABM 2022. The book covers topics in data analytics, intelligent data, data management in business and marketing, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from the industry, which is helpful for young researchers and students.
    DOI: 10.1007/978-981-99-5358-5
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  • 15
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    Intelligent Systems and Sustainable Computing : Proceedings of ICISSC 2022 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819947171
    Language: English
    Pages: 1 Online-Ressource(XVI, 571 p. 279 illus., 234 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Smart Innovation, Systems and Technologies 363
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Internet of things. ; Quantitative research. ; Signal processing.
    Abstract: Air pollution detection and prediction using moving average in Indian cities -- Implementation of ResNet-50 with the skip connection principle in transfer learning models for lung disease prediction -- Performance Analysis of American Sign Language using Wavelet Transform & CNN -- Image Transmission in Underwater through Li-Fi -- Leaf disease identification with multi-label classification of various plants using dense CNN model -- Enhancing the MANET AODV forecast of a broken link with LBP -- Educational Innovation Using Augmented Reality: Systematic Literature Review -- A Current Survey Trends on Child Safety Devices Using IoT -- Intelligent Children Safety and Security Wearable Shield using IoT -- Software Defects Prediction using Machine Learning Algorithms -- FARMERS MARKET-Agricultural Marketing and Management System to Connect Farmers to Retailers -- Driver Drowsiness Detection System based on Behavioral Method, Biological Method and Vehicular Feature based Method -A Review -- A Virtual Machine Protection Framework against Compromised Hypervisor in Cloud Computing -- SVM vs KNN: Prediction of Best Image Classifier.
    Abstract: This book is a collection of best selected research papers presented at Second International Conference on Intelligent Systems and Sustainable Computing (ICISSC 2022), held in School of Engineering, Malla Reddy University, Hyderabad, India, during December 16–17, 2022. The book covers recent research in intelligent systems, intelligent business systems, soft computing, swarm intelligence, artificial intelligence and neural networks, data mining and data warehousing, cloud computing, distributed computing, big data analytics, Internet of things (IoT), machine learning, speech processing, sustainable high-performance systems, VLSI and embedded systems, image and video processing and signal processing and communication.
    DOI: 10.1007/978-981-99-4717-1
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  • 16
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    Decision Intelligence Solutions : Proceedings of the International Conference on Information Technology, InCITe 2023, Volume 2 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819959945
    Language: English
    Pages: 1 Online-Ressource(XII, 394 p. 175 illus., 137 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Electrical Engineering 1080
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Quantitative research. ; Telecommunication.
    Abstract: Decision Intelligence & Data Science -- AI For Decision Making -- AI For Decision Making -- AI For Decision Making.
    Abstract: This book comprises the select peer-reviewed proceedings of the 3rd International Conference on Information Technology (InCITe-2023). It aims to provide a comprehensive and broad-spectrum picture of state-of-the-art research and development in decision intelligence, deep learning, machine learning, artificial intelligence, data science, and enabling technologies for IoT, blockchain, and other futuristic computational technologies. It covers various topics that span cutting-edge, collaborative technologies and areas of computation. The content would serve as a rich knowledge repository on information & communication technologies, neural networks, fuzzy systems, natural language processing, data mining & warehousing, big data analytics, cloud computing, security, social networks and intelligence, decision-making and modeling, information systems, and IT architectures. This book provides a valuable resource for those in academia and industry.
    DOI: 10.1007/978-981-99-5994-5
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  • 17
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    Recent Trends in Communication and Intelligent Systems : Proceedings of ICRTCIS 2023 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819957927
    Language: English
    Pages: 1 Online-Ressource(XIV, 264 p. 172 illus., 135 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Algorithms for Intelligent Systems
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Control engineering. ; Quantitative research.
    Abstract: The book presents best selected research papers presented at the Fourth International Conference on Recent Trends in Communication and Intelligent Systems (ICRTCIS 2023), organized by Arya College of Engineering and IT, Jaipur, on April 28–29, 2023. It discusses the latest technologies in communication and intelligent systems, covering various areas of communication engineering, such as signal processing, VLSI design, embedded systems, wireless communications, and electronics and communications in general. Featuring work by leading researchers and technocrats, the book serves as a valuable reference resource for young researchers and academics as well as practitioners in industry.
    DOI: 10.1007/978-981-99-5792-7
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  • 18
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    India's Contemporary Macroeconomic Themes : Looking Beyond 2020 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819957286
    Language: English
    Pages: 1 Online-Ressource (XXI, 603 p. 149 illus., 127 illus. in color.)
    Series Statement: India Studies in Business and Economics
    Parallel Title: Erscheint auch als
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    Keywords: Macroeconomics. ; Economic development. ; Economic policy. ; Social policy. ; Finance. ; Industrial organization. ; Environmental economics. ; Macro Policy ; State Finances ; Economic Growth ; Intergovernmental Fiscal Transfers ; Fiscal Reforms ; Banking and Monetary Policy ; Capital Markets ; Social Policy ; Emerging Policy Challenges ; Konferenzschrift ; Festschrift
    Abstract: This book extensively examines various contemporary macroeconomic themes of India, namely growth and macro policies, tax reforms, government finances and intergovernmental fiscal transfers, banking and monetary policy, and environment and social sector policies. It has three to six chapters devoted to each of these broad themes, with the contributors being eminent economists from the region. The book serves as an excellent reference for students in economics, finance, and management, and a valuable tool for professionals such as policymakers and investment analysts and other stakeholders in the areas of global economics and finance, in general, and India in particular.
    Note: "It is only befitting that forty-four eminent economists, most of whom had the privilege of working with, and learning from Dr. Rangarajan, have contributed to this volume titled, India's Contemporary Macroeconomic Themes: Looking Beyond 2020 published by Springer Nature. This volume is the outcome of papers presented by these authors in a Conference organized at Madras School of Economics for "Honoring and Celebrating the 90th Birth Anniversary of Dr. C. Rangarajan" on 21 and 22 April 2023." - Seite
    DOI: 10.1007/978-981-99-5728-6
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  • 19
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    Intelligent Data Engineering and Analytics : Proceedings of the 11th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2023) (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819967063
    Language: English
    Pages: 1 Online-Ressource(XVIII, 635 p. 281 illus., 223 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Smart Innovation, Systems and Technologies 371
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Engineering ; Quantitative research.
    Abstract: Chapter 1: Ant Bee Colony for Automated black-box testing of RESTful API -- Chapter 2: Classifying Human Activities using Machine Learning and Deep Learning Techniques -- Chapter 3: Explainable Artificial Intelligence and Mobile Health for Treating Eating Disorders in Young Adults with Autism Spectrum Disorder Based on the Theory of Change: A mixed method protocol -- Chapter 4: Novel Deep Learning Models for Optimizing Human Activity Recognition using Wearable Sensors: An Analysis of Photoplethysmography and Accelerometer Signals -- Chapter 5: Link Prediction in Complex networks: An Empirical Review -- Chapter 6: High Utility Itemset Mining and Inventory Management: Theory and Use Cases -- Chapter 7: Using Clustering Approach to Enhance Prioritization of Regression Test Cases -- Chapter 8: Nucleus Segmentation using Adaptive Thresholding for Analysis of Blood and Bone Marrow Smear Images -- Chapter 9: A Systematic Review on Automatic Speech Recognition for Odia language -- Chapter 10: A Study on Influence Maximization in complex networks. etc.
    Abstract: The book presents the proceedings of the 11th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2023), held at Cardiff School of Technologies, Cardiff Metropolitan University, Cardiff, Wales, UK, during April 11–12, 2023. Researchers, scientists, engineers, and practitioners exchange new ideas and experiences in the domain of intelligent computing theories with prospective applications in various engineering disciplines in the book. This book is divided into two volumes. It covers broad areas of information and decision sciences, with papers exploring both the theoretical and practical aspects of data-intensive computing, data mining, evolutionary computation, knowledge management and networks, sensor networks, signal processing, wireless networks, protocols, and architectures. This book is a valuable resource for postgraduate students in various engineering disciplines.
    DOI: 10.1007/978-981-99-6706-3
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  • 20
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    Towards the Integration of IoT, Cloud and Big Data : Services, Applications and Standards (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819960347
    Language: English
    Pages: 1 Online-Ressource(XII, 154 p. 68 illus., 57 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Big Data 137
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Quantitative research. ; Cloud Computing. ; Internet of things.
    Abstract: Introduction to Big Data Analytics -- DCD_PREDICT: Using Big Data on Prediction Forchest Diseases by Applying Machine Learning Algorithms -- Design of Energy Efficient IOMT Electrocardiogram (ECG) Machine on 28 Nm FPGA -- Automatic Smart Irrigation Method for Agriculture Data Artificial Intelligence Based Plant Disease Detection -- IoT Equipped Intelligent Distributed Framework for Smart Healthcare Systems -- Adaptive Particle Swarm Optimization for Energy Minimization in Cloud: A Success History Based Approach -- Field Monitoring and Automation in Agriculture Using Internet of Things (IoT).
    Abstract: This book discusses integration of internet of things (IoT), cloud computing, and big data. It presents a unique platform where IoT, cloud computing, and big data are fused together and can be foreseen as a perfect solution to many applications. Usually, IoT, cloud computing, and big data are researched separately on the basis of their properties, underlying technologies, and other open issues. Integration of IoT, cloud computing and big data is not that easy and can face key open issues like standardization of interfaces, power and energy efficiency in both data processing and transmission, security and privacy, storage mechanisms for future applications, scalability and flexibility, and QoS provisioning for end user applications. Integration of IoT, cloud computing, and big data represents the next big rise for future industry and business applications. This integration opens new exhilarating directions for research and it is discussed in this book.
    DOI: 10.1007/978-981-99-6034-7
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  • 21
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    Decision Intelligence : Proceedings of the International Conference on Information Technology, InCITe 2023, Volume 1 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819959976
    Language: English
    Pages: 1 Online-Ressource(XII, 426 p. 187 illus., 142 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Electrical Engineering 1079
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Quantitative research. ; Telecommunication.
    Abstract: This book comprises the select peer-reviewed proceedings of the 3rd International Conference on Information Technology (InCITe-2023). It aims to provide a comprehensive and broad-spectrum picture of state-of-the-art research and development in decision intelligence, deep learning, machine learning, artificial intelligence, data science, and enabling technologies for IoT, blockchain, and other futuristic computational technologies. It covers various topics that span cutting-edge, collaborative technologies and areas of computation. The content would serve as a rich knowledge repository on information & communication technologies, neural networks, fuzzy systems, natural language processing, data mining & warehousing, big data analytics, cloud computing, security, social networks, and intelligence, decision-making, and modeling, information systems, and IT architectures. This book provides a valuable resource for those in academia and industry.
    DOI: 10.1007/978-981-99-5997-6
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  • 22
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    Predictive Analytics for Mechanical Engineering: A Beginners Guide (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819948505
    Language: English
    Pages: 1 Online-Ressource(X, 97 p. 33 illus., 29 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: SpringerBriefs in Computational Intelligence
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Quantitative research. ; Mechanical engineering. ; Internet of things.
    Abstract: 1. Introduction to Predictive Analytics -- 2. Data Acquisition and Preparation -- 3. Intelligent Approaches -- 4. Predictive Maintenance -- 5. Predictive Maintenance for Mechanical Design System -- 6. Predictive Maintenance for Manufacturing -- 7. Conclusions.
    Abstract: This book focus on key component required for building predictive maintenance model. The current trend of Maintenance 4.0 leans towards the preventive mechanism enabled by predictive approach and condition-based smart maintenance. The intelligent decision support, earlier detection of spare part failure, fatigue detection is the main slices of intelligent and predictive maintenance system (PMS) leading towards Maintenance 4.0 This book presents prominent use cases of mechanical engineering using PMS along with the benefits. Basic understanding of data preparation is required for development of any AI application; in view of this, the types of the data and data preparation processes, and tools are also presented in this book.
    DOI: 10.1007/978-981-99-4850-5
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  • 23
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    Applied Computing for Software and Smart Systems : Proceedings of ACSS 2023 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819977833
    Language: English
    Pages: 1 Online-Ressource(XI, 232 p. 120 illus., 83 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 781
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Internet of things. ; Cloud Computing. ; Quantitative research.
    Abstract: Generation of All Rooted Ordered Trees -- Quasistatic Computation and Thermodynamic Approach -- Augmentation of Mixing Quality and Its Analysis based on Electrode Shape Diversity in Digital Microfluidic Biochips -- Prediction of Student Performance in Online Classes Using Machine Learning -- Diabetes Syndrome Prophecy Using Machine Learning.
    Abstract: This book features a collection of high-quality research papers presented at the 10th International Symposium on Applied Computing for Software and Smart systems (ACSS 2023), to be held during September 15–16, 2023, in Kolkata, India. The book presents innovative works by undergraduate, graduate students as well as Ph.D. scholars. The emphasis of the workshop is on software and smart systems and research outcomes on other relevant areas pertaining to advancement of computing.
    DOI: 10.1007/978-981-99-7783-3
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  • 24
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    Proceedings of the 4th International Conference on Big Data Analytics for Cyber-Physical System in Smart City - Volume 1 : BDCPS 2022, December 16-17, Bangkok, Thailand (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819908806
    Language: English
    Pages: 1 Online-Ressource(XXIV, 844 p. 257 illus., 197 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 167
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Big data. ; Quantitative research.
    Abstract: This book gathers a selection of peer-reviewed papers presented at the 4th Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2022) conference, held in Bangkok, Thailand, on December 16–17. The contributions, prepared by an international team of scientists and engineers, cover the latest advances and challenges made in the field of big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.
    DOI: 10.1007/978-981-99-0880-6
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  • 25
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    Drone Data Analytics in Aerial Computing (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819950560
    Language: English
    Pages: 1 Online-Ressource(XVI, 274 p. 117 illus., 99 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Transactions on Computer Systems and Networks
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Quantitative research.
    Abstract: Introduction to Drone Data Analytics in Aerial computing -- A Study in Federated Learning Analytics for UAV -- Analysis of Geospatial Data Collected by Drones as Part of Aerial Computing -- Beach wrack identification on unmanned aerial vehicles dataset using Artificial Intelligence for Coastal Environmental Management -- Environmental drones for autonomous air pollution investigation, detection, and remediation -- Detection of Pathogens in Plant Leaves using Drone-based Deep Learning Approach -- Artificial Intelligence Based Drones for Plant Disease Detection -- Machine vision in UAV Data Analytics for Precision Agriculture -- Smart IoT Drone-Rover for Sustainable Crop Prediction Based on Mutual Subset Feature Selection Using U-Net CNN For Sustainable Crop Recommendation -- IoT Based Automatic Drip Irrigation Control Using Intelligent Agriculture -- IOT-Based Innovative Agriculture Farming System Based on Rover-Drone Surveil-lance Sensing Unit Using Feature Selection and Classification Techniques -- Village mapping for micro level planning using UAV technology -- An in-sight analysis of Cyber-security Protocols and the Vulnerabilities in the Drone Communication -- Introspecting the Impact of Selected Macro-Economic Variables and Policy Interventions in Unmanned Aerial Vehicle (UAV) Sector: The Case of India. .
    Abstract: This book discusses the latest research, theoretical, and experimental research innovations in drone data analytics in aerial computing. Drone data analytics guarantees that the right people have the correct data at their fingertips whenever they need it. The contents also discuss the challenges faced with drone data analytics, such as due to the high mobility of drones, aerial computing is significantly different from terrestrial computing. It also includes case studies from leading drone vendors. The book also focuses on the comparison of data management and security mechanisms in drone data analytics. This book is useful to those working in agriculture, mining, waste management, and defenses department.
    DOI: 10.1007/978-981-99-5056-0
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  • 26
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    Innovations in Data Analytics : Selected Papers of ICIDA 2022 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819905508
    Language: English
    Pages: 1 Online-Ressource(XVI, 639 p. 322 illus., 238 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Advances in Intelligent Systems and Computing 1442
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    Keywords: Image processing—Digital techniques. ; Computational intelligence. ; Quantitative research. ; Computer vision. ; Data protection. ; Telecommunication. ; Image processing
    Abstract: This book features research papers presented at the 1st International Conference on Innovations in Data Analytics (ICIDA 2022), held at Eminent College of Management and Technology (ECMT), West Bengal, India, during November 29–30, 2022. The book presents original research work in the areas of computational intelligence, advance computing, network security and telecommunication, data science and data analytics, and pattern recognition. The book is beneficial for readers from both academia and industry. .
    DOI: 10.1007/978-981-99-0550-8
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  • 27
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    Data Management, Analytics and Innovation : Proceedings of ICDMAI 2022 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811926006
    Language: English
    Pages: 1 Online-Ressource(XV, 731 p. 343 illus., 259 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 137
    Parallel Title: Erscheint auch als
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    Keywords: Engineering—Data processing. ; Artificial intelligence—Data processing. ; Quantitative research. ; Machine learning. ; Artificial intelligence. ; Information retrieval. ; Computer architecture. ; Engineering ; Artificial intelligence
    Abstract: Part I: Machine Learning -- Recognizing similar relationships within ontology to fine tune Ontology -- Object Detection using Peak, Balanced Division Point and Shape based Features -- End to End Agile and Automated Machine Learning Framework for Trustworthy, Reliable and Sustainable Artificial Intelligence -- Automated Structured Data Extraction from Scanned Document Images -- Effective Sentiment Analysis of Bengali Corpus by using the Machine Learning approach -- Review on Android Malware Detection System -- Hypothesis Testing of Tweet Text using NLP -- Forecasting Severe Thunderstorm by applying SVM Technique on Cloud imageries -- Breast Cancer Prediction using MachineLearning Techniques -- Ontology-Driven Scientific Literature Classification using Clustering and Self-Supervised Learning -- Modeling and forecasting Tuberculosis cases using machine learning and deep learning approaches: A Comparative Study -- Drone Integrated Detection and Rebarbative System with Variable Frequency for Agricultural Farm Invading Animals -- Support Vector Machines and Random Forest Classification models for identification of Stability in Extrusion Film Casting Process -- Predicting CO2 emissions by Vehicles using Machine Learning -- Augmented Feature Generation using Maximum Mutual Information Minimum Correlation -- Impact of Energy Sector on Climate Change in India using Forecasting Models -- Towards Efficient Edge Computing Through Adoption of Reinforcement Learning Strategies: A Review -- Thematic Classification Based On Topological Traits -- Machine Learning based Earthquake Early Warning (EEW) System: A case study of Himalayan Region -- Topic Modelling Based Semantic Search -- Machine Learning based Automated Process for Predicting the Anomaly in AIS Data -- A Hybrid Machine Learning Model for Estimation of Obesity Levels -- Part II: AI & Deep Learning -- Regulations 4.0: Digitally Transforming the Regulatory Space -- Speech To Text for Data Entry - Opportunities and Challenges -- A Gamification Architecture For Online Learning Platform using Neural Network -- Literature Review on Sign Language Generation -- Indoor Navigation Using Augmented Reality -- Foreign object detection on an assembly line -- Inverse Contexture Abstractive Term Frequency Model using Surf Scale Diffusive Neural Network for analysis of fake social content in public forum -- Literature Review on Machine Translation Systems for Sign Language Generation -- Depression Detection from Twitter Data using Two Level Multi-modal Feature Extraction -- COVID-19 Regulations Check: Social Distancing, People Counting and Mask Wear Check -- Urdu & Hindi Poetry Generation using Neural Networks -- Implementation of Open Domain Question Answering System -- Design and Implementation of Surround View Monitoring System in View of Autonomous Vehicle -- Generation of Indian Sign Language Animation from Audio and Video Content using Natural Language Processing -- Histogram Based Initial Centroids Selection for K-Means Clustering -- Siamese Network-based system for criminal identification -- Track-III: Data Storage Management & Innovation -- Organization Network Analysis for study of employee techno-social connects and effect of human behavior and organizational culture on the underlying network -- Track IV: Enabling Technologies & Applications -- Sky Computing Smart Locality Aware approach for Health Analytics -- Citation Biases: Detecting Communities from Patterns of Temporal Variation in Journal Citation Networks -- Enhancing the Performance of Multiple Wi-Fi Network -- ARCaddy: Augmented Reality App Suite for Aircraft Maintenance -- Meditation Therapy for Stress Management Using Brainwave Computing and Real Time Virtual Reality Feedback -- Real Time Carbon Emissions Calculator for Personal Computers -- Track-V: Data Science Techniques for handling Pandemic -- Navigation System for Visually Impaired People -- Design aspects of a Multi-dimensional Hybrid analytical processing system -- A data science approach to evaluate drug effectiveness: Case Study of Remdesivir for Covid-19 patients in India -- A Softcomputing Approach For Predicting And Categorising Learner’s Performance Using Fuzzy Model.
    Abstract: This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence, and data analytics, along with advances in network technologies. The book is a collection of peer-reviewed research papers presented at Sixth International Conference on Data Management, Analytics and Innovation (ICDMAI 2022), held virtually during January 14–16, 2022. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.
    DOI: 10.1007/978-981-19-2600-6
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  • 28
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    Data-Driven Approach for Bio-medical and Healthcare (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811951848
    Language: English
    Pages: 1 Online-Ressource(XIII, 233 p. 102 illus., 81 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Data-Intensive Research
    Parallel Title: Erscheint auch als
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    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Quantitative research. ; Artificial intelligence. ; Internet of things.
    Abstract: Chapter 1. Personal Health Record Data-Driven Integration of Heterogeneous Data -- Chapter 2. Privacy issues in data-driven healthcare -- Chapter 3. Personalizing the Patient Discharge Process and Follow Up Using Machine Learning Algorithms, Assessment Questionnaires and Ontology Reasoning -- Chapter 4. Explaining decisions of quantum algorithm: patient specific features explanation for epilepsy disease -- Chapter 5. Bioinformatics study for determination of the binding efficacy of heme-based protein -- Chapter 6. Growth Trend of Swine Flu and Covid 19 Pandemic A_ected Patients using Fuzzy Cellular Automata: A Study -- Chapter 7. Data-driven approach study for the prediction and detection of infectious disease outbreak -- Chapter 8. Design and development of interactive, real time dashboard to understand COVID-19 situation in Pune -- Chapter 9. Analyzing The Impact of Covid-19 and Vaccination using Machine Learning and ANN -- Chapter 10. Development of Psychiatric COVID-19 CHATBOT using Deep Learning -- Chapter 11. Adv nced Mathematical Model to Measure the Severity of any Pandemics -- Chapter 12. Semi-Structured Patient Data in Electronic Health Record.
    Abstract: The book presents current research advances, both academic and industrial, in machine learning, artificial intelligence, and data analytics for biomedical and healthcare applications. The book deals with key challenges associated with biomedical data analysis including higher dimensions, class imbalances, smaller database sizes, etc. It also highlights development of novel pattern recognition and machine learning methods specific to medical and genomic data, which is extremely necessary but highly challenging. The book will be useful for healthcare professionals who have access to interesting data sources but lack the expertise to use data mining effectively.
    DOI: 10.1007/978-981-19-5184-8
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    Managing Pandemic and Correcting Development Fundamentals : India’s Great Challenge (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811986802
    Language: English
    Pages: 1 Online-Ressource (XV, 316 p. 137 illus., 124 illus. in color.)
    Series Statement: India Studies in Business and Economics
    Parallel Title: Erscheint auch als
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    Keywords: Development economics. ; Economic development. ; Economic policy. ; Social policy. ; Finance, Public. ; Covid Pandemic ; COVID-19 ; Fiscal Management ; Poverty ; Inequality ; Health ; Education ; Konferenzschrift
    Abstract: The complexity of Managing COVID-19: How Important is Good Governance? -- Covidonomics or the Curious Case of a Supply Constrained Keynesian Equilibrium -- Contact Intensity, Unemployment and Finite Change -The Case of Entertainment Sector under Pandemic -- Financing Economic Recovery: The Covid Challenge -- Transformation in Higher Education in the Post-Covid Era: A Perspective from Economics -- Pandemic-induced Poverty in India after the First Wave of COVID-19: An Elaboration of Two Earlier Estimates -- Trends, Patterns and Regional Variations of Covid-19 Pandemic in India at Sub-National Level: Analysis based on Spatial Econometric Method -- Unequal Inequalities in India: Income and Non-Income Dimensions -- Exploring the Significance of Food Insecurity Mediated Poverty and Low Productivity Traps: Furthering Policy by Reconciling Secondary Data with Primary Surveys -- State-level Exports: An Alternate Exploration using ASI Unit Level Data -- Subaltern Culture and Happiness in Tribal Communities of West Bengal -- Is GST Reform Pro-Poor In India? -- Public Expenditure Quality of States for Education and Health, Does Rationalisation of Grants Matter?.-Measurement and Determinants of Efficiency of Government and Government Aided Secondary School in Kolkata: An Application of Data Envelopment Approach.
    Abstract: This book discusses the extent and nature of COVID-19 pandemic in India and its effect on the society and economy. The suggested management practices discussed here are also not stereotype. At the same time, it highlights deficiency in development fundamentals in India on several dimensions, especially health, education, quality of public spending, taxation orientation, external trade involvement across states, etc., deficiencies which create an inbuilt bottleneck toward the creation of a more equal society. While discussing these, the book throws light on how they were expectedly exacerbated by the sudden negative shock in the form of COVID-19 pandemic. Thus, the book has highlighted the COVID pandemic and its response in India in the background of certain less discussed aspects of development fundamentals. The contents would be of interest to researchers and students studying socioeconomic aspect of developmental economics and also to policy makers and non-government entities involved in mitigating effects of pandemic in the socioeconomic sphere.
    Note: "This volume is a collection of chapters comprising (i) the invited papers presented by four very eminent economists Professors Kaushik Basu, Dipankar Dasgupta, Abhirup Sarkar and Sugata Marjit at the Webinar on COVID-19 pandemic held on 5-6 March 2021, organised by Planning and Development Unit (NITI Aayog), Jadavpur University (PDU); (ii) some invited papers presented at the other seminar/conferences organised by PDU; and (iii) the outcome of different projects sanctioned by PDU and completed by different faculty members of the Department of Economics, Jadavpur University." - Site v
    DOI: 10.1007/978-981-19-8680-2
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    Proceedings of the International Conference on Intelligent Computing, Communication and Information Security : ICICCIS 2022 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819913732
    Language: English
    Pages: 1 Online-Ressource(XIV, 468 p. 247 illus., 192 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Algorithms for Intelligent Systems
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Telecommunication. ; Quantitative research. ; Data protection.
    Abstract: Deep Vision: A Robust Dominant Colour Extraction Framework for T-shirts based on Semantic Segmentation -- Wheel Shaped Defected Ground Structure Microstrip Patch Antenna with High Gain and Bandwidth for Breast Tumor Detection -- IOT based Automated Drip Irrigation and Plant Health Management System -- An Integrated Approach for Pregnancy Detection using Canny Edge Detection and Convolutional Neural Network -- Ontology based Profiling by Hierarchical Cluster Analysis for Forecasting on Patterns of Significant Events.
    Abstract: This book contains high quality research papers accepted and presented at the International Conference on Intelligent Computing, Communication and Information Security (ICICCIS 2022), organized by Swami Keshvanand Institute of Technology, Management & Gramothan (SKIT), Jaipur, India during 25-26, November 2022. It presents the solutions of issues and challenges in intelligent computing, communication and information security domains. This book provides a background to problem domains, considering the progress so far, assessing the potential of such approaches, and exploring possible future directions as a single readily accessible source.
    DOI: 10.1007/978-981-99-1373-2
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    Rethinking Management and Economics in the New 20's : The 2022 Centre of Applied Research in Management and Economics (CARME) Conference (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811984853
    Language: English
    Pages: 1 Online-Ressource (XXI, 490 p. 95 illus., 67 illus. in color.)
    Series Statement: Springer Proceedings in Business and Economics
    Parallel Title: Erscheint auch als
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    Keywords: Economic development. ; Management. ; Finance. ; Economic policy. ; Finance, Public. ; Industries. ; economic development ; Economy and regional development ; Entrepreneurship ; Health Management ; Human resources management ; social inclusion ; decarbonization ; consumer behaviour ; Management and Information systems ; Marketing ; Operations ; SME and family firms ; Strategy ; Sustainability ; Teaching and researching in Management ; Accounting ; Konferenzschrift
    Abstract: Chapter 1: Research on Economy and regional development -- Chapter 2: Research on Entrepreneurship -- Chapter 3: Research on Health Management -- Chapter 4: Research on Tourism Management -- Chapter 5: Research on Corporate Governance -- Chapter 6: Research on Human resources management -- Chapter 7: Research on Management and Information systems -- Chapter 8: Research on Marketing -- Chapter 9: Research on Operations -- Chapter 10: Research on SME and family firms -- Chapter 11: Research on Strategy -- Chapter 12: Research on Sustainability -- Chapter 13: Research on Teaching and researching in management -- Chapter 14: Research on Accounting.
    Abstract: This proceedings book showcases papers presented at the 2022 Rethinking Management and Economics in the (New) 20s conference in Leiria, Portugal. Rethinking Management and Economics in the (New) 20’s is focused on the investigation of key challenges and perspectives of Management and Economics. The chapters in this book explore new avenues of research and cover theoretical, empirical, and experimental studies related to different themes in the global context of Management and Economics. This book contributes towards deepening our understanding of what the new problems associated with achieving the goals of management and Economics in the 2020s and present possible solutions to the problems. This book is ideal for economists, businesses, managers, accountants, practitioners, stakeholders, researchers, academicians, and students who are interested in the current issues and advancements in corporate governance and earnings management.
    DOI: 10.1007/978-981-19-8485-3
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    Proceedings of the NIELIT's International Conference on Communication, Electronics and Digital Technology : NICE-DT 2023 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819916993
    Language: English
    Pages: 1 Online-Ressource(XXIII, 731 p. 381 illus., 290 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 676
    Parallel Title: Erscheint auch als
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    Keywords: Computer networks—Security measures. ; Computational intelligence. ; Artificial intelligence. ; Quantitative research. ; Internet of things. ; Computer networks
    Abstract: Quality of Service (QoS)-driven Edge Computing and Smart Hospitals: A Vision, Architectural Elements and Future Directions -- Real Time Face Mask Detector with Multi-class Classification using Deep Neural Networks -- Data Correlation Analysis to Curb Road Accidents -- Speech Recognition via Machine Learning in Recording Studio -- Clustering-Based Filter Pruning Approach for Efficient ConvNets -- SMS and E-mail Spam Classification using Natural Language Processing and Machine Learning -- Detecting Malware in Windows Environment Using Machine Learning -- Fake News Detection using LSTM Based Deep Learning Approach and Word Embedding Feature Extraction -- Safe Distance Monitoring for COVID-19 Using YOLOv3 Object Recognition Paradigm -- Machine Learning Based Depth of Anesthesia Estimation using Spectral and Statistical Features of EEG.
    Abstract: The book presents selected papers from NIELIT's International Conference on Communication, Electronics and Digital Technology (NICE-DT 2023) held during February 10–11, 2023, in New Delhi, India. The book covers state-of-the-art research insights on artificial intelligence, machine learning, big data, data analytics, cyber security and forensic, network and mobile security, advance computing, cloud computing, quantum computing, VLSI and semiconductors, electronics system, Internet of Things, robotics and automations, blockchain and software technology, digital technologies for future, assistive technology for divyangjan (people with disabilities) and Strategy for Digital Skilling for building a global Future Ready workforce.
    DOI: 10.1007/978-981-99-1699-3
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    Economics and Finance Readings : Selected Papers from Asia-Pacific Conference on Economics & Finance, 2022 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819919796
    Language: English
    Pages: 1 Online-Ressource (XI, 199 p. 34 illus., 20 illus. in color.)
    Parallel Title: Erscheint auch als
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    Keywords: Business enterprises—Finance. ; Economic history. ; International business enterprises. ; Development economics. ; Commercial law. ; Business enterprises ; APEF 2022 ; Asia-Pacific Conference on Economics & Finance ; 2022 ; East Asia Research ; US-China Trade War ; Economic Policy ; Regulatory Economics ; International Finance ; Market Structure and Pricing ; Global Business ; Multivariate Statistics ; Konferenzschrift
    Abstract: Research on the Impact of Consumer Innovation on Purchase Intention 0f New Energy Vehicles -- Regulated Intermediary Effect1 -- Tax and Fee Cuts, Investment in Innovation, and High-Quality Development of Equipment Manufacturing Enterprises -- Digital Renminbi: Impacts on Economic Integration of the Greater Bay Area -- Proposition of Development and Growth Through Economic Development Index -- Need for Economic Remedies with the Increase in Product Liability Cases in 21st Century -- A European Study on Financial Risk Attitude and Cognitive Decline in Ageing Societies -- Tax and Non-tax Policies Towards the Finance of Sustainable Economy: The Mediating Role of Eco-innovation -- Impact of Tobacco Consumption on Food and Non-Food Households Consumption Patterns: The Case of Indonesia -- The South Korean Export Benchmark: Validity of the Export-led Growth Hypothesis -- Measuring Financial Inclusion in Indonesia: Asserting the Role of Digital Financial Services -- The Use of Mobile Technologies for Shopping During the Pre-Covid-19 Pandemic Versus Covid-19 Pandemic Time; a Gender-Based Quantitative Study.
    Abstract: This book is a compilation of the best papers presented at the 2022 Asia-Pacific Conference on Economics & Finance (APEF), which is held annually in Singapore. With a great number of submissions, it presents the latest research findings in economics and finance and discusses relevant issues in today's world. The book is a useful resource for readers who want access to economics, finance and business research focusing on the Asia-Pacific region.2023 Asia-Pacific Conference on Economics & Finance (APEF) will take place on the 14-15 Dec 2023 in Singapore.
    DOI: 10.1007/978-981-99-1979-6
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    Advances in Mathematical Modelling, Applied Analysis and Computation : Proceedings of ICMMAAC 2021 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811901799
    Language: English
    Pages: 1 Online-Ressource(XXIII, 626 p. 273 illus., 228 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 415
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Engineering mathematics. ; Telecommunication. ; Quantitative research. ; Artificial intelligence.
    Abstract: A collection of Hilfer fractional Opial inequalities -- On a nonlinear diffusion model of wood impregnation: Analysis, approximate solutions and experiments with relaxing boundary conditions -- Algorithmic Complexity-based Fractional-order Derivatives in Computational Biology -- Case study of non singular kernel model for MHD boundary layer flow of a rate type fluid over an oscillating plate -- Multi-layer Perceptron Articial Neural Network Approach for Solving Sixth-Order Two-Point Boundary Value Problems -- Wavelet transform on generalized quotient spaces and its applications -- Certain image formulae of the incomplete I-function under the conformable and pathway fractional integral and derivative operators -- Explicit exact solutions and conservation laws of modified α equation -- Some Approximation results on Durrmeyer modication of generalized Szasz-Mirakjan operators -- Fuzzy Approach to Solve General De-Novo Programming Problem.
    Abstract: This book is a valuable source for graduate students and researchers and provides a comprehensive introduction to recent theories and applications of mathematical modeling and numerical simulation. It includes selected peer-reviewed papers presented at the 4th International Conference on Mathematical Modelling, Applied Analysis and Computation (ICMMAAC 2021), held at JECRC University, Jaipur, India, during August 5–7, 2021. The book is focused on mathematical modeling of various problems arising in science and engineering and new efficient numerical approaches for solving linear nonlinear problems and rigorous mathematical theories, which can be used to analyze different kinds of mathematical models. Applications of mathematical methods in physics, chemistry, biology, mechanical engineering, civil engineering, computer science, social science, and finance are presented.
    DOI: 10.1007/978-981-19-0179-9
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    Proceedings of Third International Conference on Advances in Computer Engineering and Communication Systems : ICACECS 2022 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811992285
    Language: English
    Pages: 1 Online-Ressource(XXXVIII, 699 p. 351 illus., 278 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 612
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Cloud Computing. ; Quantitative research. ; Internet of things.
    Abstract: Enneaontology: Towards an Enneagram Personality Detection -- Anomalies detection on contemporary Industrial Internet of Things data for securing crucial devices -- Automatic Sentiment Analysis Scalability Prediction for Information Extraction Using Senti Strength Algorithm -- Vegetable Plant Leaf Image Classification using Machine Learning Models -- A Novel SARS-COV-2 Variant Omicron Disseminating Evaluation -- Cryptanalysis of Tiny Encryption Algorithm based on SMT solvers Using HPC -- Diagnosis of pulmonary diseases from chest X-ray using deep learning approaches -- Ensembled Machine Learning Techniques for DDoS Detection in SDN -- Breast Cancer Detection using Deep Learning Model -- A Survey on Automatic Text Summarization -- The Adaptive Strategies Improving Design in Internet of Things.
    Abstract: This book includes original, peer-reviewed research articles from International Conference on Advances in Computer Engineering and Communication Systems (ICACECS 2022), held in VNR Vignana Jyoythi Institute of Engineering and Technology (VNR VJIET), Hyderabad, Telangana, India, during August 11–12, 2022. The book focuses on “Smart Innovations in Mezzanine Technologies, Data Analytics, Networks and Communication Systems” enlargements and reviews on the advanced topics in artificial intelligence, machine learning, data mining and big data computing, knowledge engineering, semantic Web, cloud computing, Internet of Things, cybersecurity, communication systems, and distributed computing and smart systems.
    DOI: 10.1007/978-981-19-9228-5
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    Proceedings of the 4th International Conference on Big Data Analytics for Cyber-Physical System in Smart City - Volume 2 : BDCPS 2022, December 16–17, 2022, Bangkok, Thailand (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819911578
    Language: English
    Pages: 1 Online-Ressource(XVI, 733 p. 223 illus., 145 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 168
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Big data. ; Quantitative research.
    Abstract: Big Data Direct Search Algorithm Based on Linear Programming -- Intelligent Traffic Signal Control System Based on Machine Learning Algorithm -- Traffic Spatial Data Management System Based on Data Mining -- Design of Intelligent Prefabricated Building Real-Time Safety Management Monitoring Platform Based on Optimization Algorithm -- Design of Automatic Call-test System for Charging Pile IoT Data Based on NB-IoT -- Using Deep Neural Network Learning Technology to Design of Intelligent Network Crawler on Big Data Platform -- Machine Translation Quality Evaluation Model Based On Data Mining Algorithm -- A Framework of Computer Network Security (NS) System and Its Application -- Application of Computer Technology (CT) in 5G Communication Network -- Application of Mobile Virtual Reality to Computer Graphics and Image Processing Technology -- Online Teaching System of French on Demand Based on Streaming Media Technology -- Development of Industry-University-Research Institute Collaborative Innovation Information Platform Based on Spring MVC Framework -- Design of Public Health Incident Warning System Based on Decision Tree Model ID3 Algorithm -- Vehicle Engineering Smart Device based on Wearable Technolog -- Algorithm Design of Online Education Platform Based on Simulation Experiment -- Bridge Structure Reinforcement and Reconstruction Technology Based on Mobile Navigation BIM -- Construction of Operation and Maintenance System of 5G New Media Platform Big Data System -- Urban Electric Vehicle Public Charging Network Based on 5G and Big Data -- Voice Compression Coding Scheme of Ground Penetrating Wireless Communication in Mines Based on Fuzzy Delta Modulation -- Peak-type Markov Chain and Its Application Research in Electrical Prediction -- Research on Optimization of Power Logistics Tracking System based on Smart Supply Chain -- Intensive Management of Distribution Network Scheduling Operation Based on Artificial Intelligence -- Personalized Teaching Knowledge Recommendation System Based on Artificial Intelligence Algorithm -- Target Detection and Tracking Technology of Aerobics Sports Training Based on Hybrid Algorithm -- Research on Power Material Supply Method Based on Smart Contract System -- Short-time Prediction Analysis Algorithm of Traffic Flow in Transportation Hubs Based on Cell Phone Signaling Data -- Population Prediction Analysis Based on Convolutional Neural Network Algorithm -- Clothing Style Design Based on Image Processing Technology and Psychology -- An Algorithm for New Energy Battery SOH Prediction based on Deep Learning -- Anti-Lock Braking System of New Energy Vehicle Based on online Algorithm Perspective -- Fatigue Life Prediction of Road Beams Based on Artificial Bee Colony Algorithm and Traffic Simulation -- Prediction and Realization of Brand Loyalty by Brand Community Content Marketing Based on Digital-Intelligent Algorithm System -- Fast-ICA Algorithm in Industrial Control Network Anomaly Detection System -- A Quantitative Evaluation Model of Computer Audit Risk in Network Environment -- Python Data Analysis Techniques in Administrative Information Integration Management System -- Artificial Psychology Modeling System based on Interactive Genetic Algorithm -- Optimization System of Rural Landscape Environment Based on Interactive Genetic Algorithm -- Electric Power Marketing Measurement Management System Based on Computer and Internet Technology -- Model Design of Digital Economy Management System Based on Neural Network Algorithm -- Research on Speech Adversarial Sample Attack based on APA -- 2D/3D Visualization Realization of Power Grid Operation Monitoring System Based on Big Data -- Campus Culture Intelligent Communication System based on Improved Genetic Algorithm -- Three-Pillar Model of HR in the Context of Digital Transformation -- Sports Video Image Analysis System Based on SIFT Algorithm -- Ultra-short-term Wind Speed Prediction for Wind Farms Based on Multi-objective Optimization Algorithm in the Context of Smart Grid -- Key Technologies of Dynamic Network Virtual Simulation -- Research on Probe Preparation and Control Circuit Design of Thermal Anemometer Based on Neural Network -- Development of Intelligent Garbage Classification System Based on WeChat Applets -- Safety Analysis and Design of Artificial Intelligence System Based on Sensor and AI Technology -- Construction of E-Commerce Logistics Management Mode based on VR Technology in the Background of 5G -- Multi-temporal Land Cover Segmentation via Trans-ConvLSTM -- Construction of library database security system supported by SQL Server technology -- Clustering mining method analysis of human resources big data driven by swarm intelligence algorithm -- Application of mathematical modeling in preventing computer virus infection.-Intelligent vulnerability association algorithm based on association rule mining -- Integrated monitoring system of substation operation and maintenance security state based on cloud computing -- Communication Boundary Stealth Technology of Power Internet of Things Terminal Network -- Secure Access of IoT Terminals in Special Scenarios -- Research on Security Encryption Algorithm of Marketing service data in rural areas of State Grid Corporation -- Data transmission technology of Internet of Things based on ISSA algorithm -- Design and application of 3D Geographic Information visualization System based on Skyline -- Internet information processing technology based on big data analysis -- Distribution route optimization method of chain convenience store based on improved genetic Algorithm -- Intellectual property protection method based on block chain technology -- Computer Network Security Evaluation based on Neural network algorithm -- Research and application of Performance Management System in Higher Vocational Colleges based on data Mining -- Tourist flow forecast based on data mining technology -- Security classification algorithm analysis of State Grid power data based on Internet of things -- Optimization strategy of Machine translation algorithm for English long Sentences based on Semantic relations -- Application of Computer Aided design in mechanical design and manufacture -- Internet of things Services based on genetic K-Means clustering algorithm -- Two-dimensional dynamic graphics and its application in computer graphic design -- Research on library distributed big data storage technology -- Application of Internet of things technology in intelligent building -- Application of ant colony algorithm in power grid data management -- E-commerce credit evaluation method based on Bayesian algorithm -- Analysis of English machine translation methods based on intelligent fuzzy decision tree algorithm -- Trusted Identity Access Authentication based on spa Single Packet Authentication Technology -- Investigation on data cleaning and analysis technology for power industry Big data -- Application of cloud computing in data processing of audit system -- Design and application of personalized recommendation module for English writing marking system under theme model -- Baseline model of high-sensitivity data transfer in power grid business -- Short - term power load forecasting algorithm based on combination forecasting method -- Research on data security and encryption technology in network transmission -- A novel hierarchical storage system for different types of data -- Deep Learning-based Malicious Illegal Traffic Identification -- Data transmission security strategy of management system based on dual chain architecture.
    Abstract: This book gathers a selection of peer-reviewed papers presented at the 4th Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2022) conference held in Bangkok, Thailand, on December 16–17. The contributions, prepared by an international team of scientists and engineers, cover the latest advances and challenges made in the field of big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.
    DOI: 10.1007/978-981-99-1157-8
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    Computational Intelligence and Data Analytics : Proceedings of ICCIDA 2022 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811933912
    Language: English
    Pages: 1 Online-Ressource(XIV, 633 p. 296 illus., 221 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 142
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Quantitative research. ; Internet of things. ; Telecommunication.
    Abstract: Text Summarization Approaches under Transfer Learning and Domain Adaptation Settings – A Survey -- An Effective Eye-Blink Based Cyber Secure PIN Password Authentication System -- A Comparison of Algorithms for Bayesian Network Learning for Triple Word Form Theory -- Application of Machine Learning Algorithm in Identification of Anaemia Diseases -- Detection of Fruits Image Applying Decision Tree Classifier Techniques.
    Abstract: The book presents high-quality research papers presented at the International Conference on Computational Intelligence and Data Analytics (ICCIDA 2022), organized by the Department of Information Technology, Vasavi College of Engineering, Hyderabad, India in January 2022. ICCIDA provides an excellent platform for exchanging knowledge with the global community of scientists, engineers, and educators. This volume covers cutting-edge research in two prominent areas – computational intelligence and data analytics, and allied research areas.
    DOI: 10.1007/978-981-19-3391-2
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    Sentiment Analysis and Deep Learning : Proceedings of ICSADL 2022 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811954436
    Language: English
    Pages: 1 Online-Ressource(XVIII, 1014 p. 481 illus., 402 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Advances in Intelligent Systems and Computing 1432
    Parallel Title: Erscheint auch als
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    Keywords: Image processing—Digital techniques. ; Computational intelligence. ; Artificial intelligence. ; Computer vision. ; Quantitative research. ; Image processing
    Abstract: Ranking roughly tourist destinations using BERT based semantic search -- Discerning the Application of Virtual Laboratory in Curriculum Transaction of Software Engineering Lab Course from the Lens of Critical Pedagogy -- Drought Prediction using Recurrent Neural Networks and Long Short-Term Memory model -- A Deep Learning Framework for Classification of Hyperspectral Images -- Improved Security on Mobile Payments Using IMEI Verification -- Analytics and Data Computing for the Development of the Concept Digitalization in Business and Economic Structures -- Smart Door Locking System using IoT -A Security for Railway Engine Pilots -- Designing and Implementing a Distributed Database for Microservices Cloud-Based Online Travel Portal -- A comparative study of a new customized bert for sentiment analysis -- Twitter Sentiment Analysis Using Naive Bayes Based Machine Learning Technique -- Rainfall Forecasting System Using Machine Learning Technique and IoT Technology for a Localized Region -- Infrastructure as Code (IaC): Insights on Various Platforms -- Breast Cancer Prediction using different Machine Learning Algorithm -- A Proposed System for Understanding the Consumer Opinion of a Product Using Sentiment Analysis -- Comparative study of Machine Learning and Deep learning for Fungi classification -- Personality as a predictor of Computer Science Students' Learning Motivation -- Prediction and analysis of liver disease using extreme learning machine -- Deep-learning based quality assurance of silicon detectors in Compact Muon Solenoid experiment -- An Effectual Analytics and Approach for Avoidance of Malware in Android using Deep Neural Networks -- A One-Stop Service Provider for Farmers Using Machine Learning -- Fuzzy Logic Based Control of SEPIC Converter for Vehicle to Grid Application -- Social media mining to detect mental health disorders using Machine learning -- Using Deep Learning Models for Crop and Weed Classification at Early Stage -- FaceMask detection and social distancing using Machine Learning with Haarcascade algorithm.
    Abstract: This book gathers selected papers presented at International Conference on Sentimental Analysis and Deep Learning (ICSADL 2022), jointly organized by Tribhuvan University, Nepal and Prince of Songkla University, Thailand during 16 – 17 June, 2022. The volume discusses state-of-the-art research works on incorporating artificial intelligence models like deep learning techniques for intelligent sentiment analysis applications. Emotions and sentiments are emerging as the most important human factors to understand the prominent user-generated semantics and perceptions from the humongous volume of user-generated data. In this scenario, sentiment analysis emerges as a significant breakthrough technology, which can automatically analyze the human emotions in the data-driven applications. Sentiment analysis gains the ability to sense the existing voluminous unstructured data and delivers a real-time analysis to efficiently automate the business processes. .
    DOI: 10.1007/978-981-19-5443-6
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    Contemporary Economic Issues in Asian Countries: Proceeding of CEIAC 2022, Volume 2 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819904907
    Language: English
    Pages: 1 Online-Ressource (VIII, 699 p. 83 illus., 61 illus. in color.)
    Parallel Title: Erscheint auch als
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    Parallel Title: Erscheint auch als
    Keywords: Asia—Economic conditions. ; Development economics. ; Economic policy. ; Sustainability. ; Asia ; Economic Issues in Asian Countries ; National and International Income Distribution in Asia ; Macroeconomic Policies in Asia ; Green Economy in Asia ; Sustainable Development in Asia ; International Trade and Investment in Asia ; Konferenzschrift
    Abstract: Post-Covid 19 and the Change in Income of Employees -- Effect of CSR, Ethical Leadership on Employees’ Affective Commitment: The Case of Vietnam -- Behavioral Intention and Behavior of Using E-Commerce Platforms for Online Purchases and Payments by Vietnamese Consumers -- Mechanism of State Regulation of Regional Economy Competitiveness -- The Adaptability of Vietnamese Worker to the Industry 4.0 -- The Role of Using Processes and Production Methods in International Trade Law to Achieve the Sustainable Consumption and Production Goals: Challenges and Opportunities for Asian.
    Abstract: This book continues the discussion from Volume 1 on the general considerations regarding global changes and contemporary economic issues in Asian countries in real terms. It offers a collection of original conference papers from the annual international conferences on “Contemporary economic issues in Asian countries” (CEIAC Conference) commenced in 2022 in collaboration with CIFOR-ICRAF, Sungkyunkwan University (Korea), and Tamkang University (Taiwan). The theme of the CEIAC Conference 2022 deals with broad aspects of the contemporary economic issues in Asian countries. It covers topics such as economics and business (economic theory, national and international income distribution, macroeconomic policies, sectors of economy, productivity developments, financial market, business governance, bank financing, etc.), green economy and sustainable development (developing process, development policy, public policy, sustainable growth, green growth, etc.), and international trade and investment (international trade theory, free trade agreements, tariffs, intellectual property, international law, etc.). The book would interest a wide array of professors, researchers, lecturers, students in fields of economics, consultants, and decision makers interested in the issues related to economic issues in Asia. .
    DOI: 10.1007/978-981-99-0490-7
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  • 40
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    Intelligent Technologies: Concepts, Applications, and Future Directions, Volume 2 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819914821
    Language: English
    Pages: 1 Online-Ressource(XIII, 252 p. 128 illus., 105 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1098
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Quantitative research. ; Cloud Computing. ; Wireless communication systems. ; Mobile communication systems.
    Abstract: Detection of Brain Abnormalities from Spontaneous Electroencephalography using Spiking Neural Network -- QoS the enhanced energy Aware task Scheduling Models in cloud computing -- Clinical decision support system for diagnosis and treatment of COPD using ensemble methods -- Test Scenarios Generation and Optimization of Object-oriented Models using Meta-heuristic Algorithms -- Loss Allocation Techniques in Active Power Distribution Systems.
    Abstract: This book discusses automated computing systems which are mostly powered by intelligent technologies like artificial intelligence, machine learning, image recognition, speech processing, cloud computing, etc., to perform complex automated tasks which are not possible by traditional computing systems. The chapters are extended version of research works presented at second PhD Research Symposium in various advanced technologies used in the field of computer science. This book provides an opportunity for the researchers to get ideas regarding the ongoing works that help them in formulating problems of their interest. The academicians can also be benefited to know about the current research trends that smooth the way to guide their students to carry out research work in the proper direction. The industry people will be also facilitated to know about the current advances in research work and materialize the research work into industrial applications.
    DOI: 10.1007/978-981-99-1482-1
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  • 41
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    Utilization of Geospatial Information in Daily Life : Expression and Analysis of Dynamic Life Activity (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811969058
    Language: English
    Pages: 1 Online-Ressource (XV, 174 p. 110 illus., 81 illus. in color.)
    Series Statement: New Frontiers in Regional Science: Asian Perspectives 65
    Parallel Title: Erscheint auch als Utilization of Geospatial Information in Daily Life
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Regional economics. ; Spatial economics. ; Social media. ; Economic geography. ; Wireless communication systems. ; Mobile communication systems. ; Business information services. ; Quantitative research. ; Geospatial Information ; IoT Internet of Things ; Daily Life ; Localization ; Open Data ; Disaster Information ; Geography ; Remote Sensing ; Mobile Information ; Aufsatzsammlung ; Japan ; Raumdaten ; Geoinformationssystem
    Abstract: Chapter 1. Fundamentals and Applications of Geospatial Information (Yasuhiro Kawahara, Yoshihide Sekimoto) -- Part I Expression of Geospatial Information -- Chapter 2. Base Map Development and Surveying in Japan (Toshikazu Seto) -- Chapter 3. Various Representations and Processing Techniques of Geospatial Information - Appropriate Control of Big Data Behind (Yoshihide Sekimoto) -- Part II Mobile Communications and Positioning -- Chapter 4. Ground-based and Space-based Positioning (Yasuhiro Kawahara) -- Chapter 5. Observation from Space - Remote sensing (Masahiko Nagai) -- Part III Utilization of Geospatial Information in Daily Life -- Chapter 6. Applications in Urban Facility and Land Management - from Urban Facility Management to Smart Cities (Yoshihide Sekimoto) -- Chapter 7. Applications in Transportation Systems and Mobile Devices - Capturing the Movement of People (Yoshihide Sekimoto) -- Chapter 8. Applications in Crime Prevention (Ikuho Yamada) -- Chapter 9. Applications in Health and Healthcare (Ikuho Yamada) -- Chapter 10. Application in Times of Disaster - Through the Great Hanshin Earthquake, the Great East Japan Earthquake, and Covid-19 (Yoshihide Sekimoto) -- Chapter 11. Utilization in Agriculture, Forestry, and Marine Management (Masahiko Nagayama, Yasuhiro Kawahara) -- Chapter 12. Utilization in Behavior, Ecology, and Cultural Property Surveys (Yasuhiro Kawahara) -- Chapter 13. International Applications (Yoshihide Sekimoto) -- Part IV Open Data and Personal Data in the Use of Geospatial Information -- Chapter 14.The advent of a participatory data society and the use of open data (Toshikazu Seto) -- Chapter 15. Future geospatial information in harmony with advanced technology and human life (Yoshihide Sekimoto, Yasuhiro Kawahara).
    Abstract: This book focuses on geospatial information in living spaces, providing many examples of its collection and use as well as discussing the problems of how it is used and its future prospects. Geospatial information science is in the process of evolving and being systematized, with the technical and usage aspects of the real world stimulating each other. This book systematizes the technical aspects of positioning; of geography, which manages and represents what is measured in units of earth coordinates; and of data science, which aims to efficiently express and process geographic information, all by introducing contemporary examples that are systematized with regard to their use in our living spaces. Examples of geospatial information used in almost all aspects of our lives, including urban areas, transportation, disaster prevention, health and medical care, agriculture, forestry and fisheries, culture, ecology, and topography, are presented, along with examples of their use in each area. One of the major features of this book is that it describes the use of data from earthquake disasters that is unique to Japan, as well as the use of open data and personal data in Japan, which is a trend that is gaining attention in many countries. In this way the book systematically describes events and circumstances in living spaces that are revealed by the expression and analysis of geospatial data, with case studies and discusses their use in the IoT era.
    DOI: 10.1007/978-981-19-6905-8
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    Machine Intelligence and Data Science Applications : Proceedings of MIDAS 2022 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819916207
    Language: English
    Pages: 1 Online-Ressource(XVI, 565 p. 270 illus., 207 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Algorithms for Intelligent Systems
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Quantitative research. ; Machine learning.
    Abstract: Blockchain-supported Sustainable Supply Chain in Industry 4.0 -- COVID 19 Cases In India: A Study on the effect of Weather Factors and Building the Forecast Model -- A Review On Scheduling in Cloud Fog Computing Environments -- Simplifying Handwritten Medical Prescription: OCR Approach.
    Abstract: This book is a compilation of peer-reviewed papers presented at the International Conference on Machine Intelligence and Data Science Applications (MIDAS 2022), held on October 28 and 29, 2022, at the University of Versailles—Paris-Saclay, France. The book covers applications in various fields like data science, machine intelligence, image processing, natural language processing, computer vision, sentiment analysis, and speech and gesture analysis. It also includes interdisciplinary applications like legal, healthcare, smart society, cyber-physical system, and smart agriculture. The book is a good reference for computer science engineers, lecturers/researchers in the machine intelligence discipline, and engineering graduates.
    DOI: 10.1007/978-981-99-1620-7
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  • 43
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    Contemporary Economic Issues in Asian Countries: Proceeding of CEIAC 2022, Volume 1 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811996696
    Language: English
    Pages: 1 Online-Ressource (VIII, 672 p. 162 illus., 120 illus. in color.)
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Asia—Economic conditions. ; Development economics. ; Economic policy. ; Sustainability. ; Asia ; Economic Issues in Asian Countries ; National and International Income Distribution in Asia ; Macroeconomic Policies in Asia ; Green Economy in Asia ; Sustainable Development in Asia ; International Trade and Investment in Asia ; Konferenzschrift
    Abstract: Livelihood Restoration for Thai Ethnic Minority after Resettlement - Impacts in Son La Hydropower Plant -- Factors Influencing the Intention of Using Solar Energy Household Appliances with an Extended TPB Model Approach: Evidence from Vietnam -- Digitalizing the Container Terminal to Meet the Demand of the Stakeholders in the Transportation Supply Chain: Technology Acceptance Model Extended Approach Case Study in the Southeast Region of Vietnam -- The Role of Foreign Direct Investment in Boosting Tourism Development: A Study of Vietnam for 1990-2020 Interval -- Vietnam’s Seafood Imports Under the Impact of the United Kingdom-Vietnam Free Trade Agreement -- Post-Covid 19 and the Change in Income of Employees -- Effect of CSR, Ethical Leadership on Employees’ Affective Commitment: The Case of Vietnam -- Behavioral Intention and Behavior of Using E-Commerce Platforms for Online Purchases and Payments by Vietnamese Consumers -- Mechanism of State Regulation of Regional Economy Competitiveness -- The Adaptability of Vietnamese Worker to the Industry 4.0 -- The Role of Using Processes and Production Methods in International Trade Law to Achieve the Sustainable Consumption and Production Goals: Challenges and Opportunities for Asian.
    Abstract: This book makes general considerations regarding global changes and contemporary economic issues in Asian countries in real terms. It offers a collection of original conference papers from the annual international conferences on “Contemporary economic issues in Asian countries” (CEIAC Conference) commenced in 2022 in collaboration with CIFOR-ICRAF, Sungkyunkwan University (Korea), and Tamkang University (Taiwan). The theme of the CEIAC Conference 2022 deals with broad aspects of the contemporary economic issues in Asian countries. It covers topics such as economics and business (economic theory, national and international income distribution, macroeconomic policies, sectors of economy, productivity developments, financial market, business governance, bank financing, etc.), green economy and sustainable development (developing process, development policy, public policy, sustainable growth, green growth, etc.), and international trade and investment (international trade theory, free trade agreements, tariffs, intellectual property, international law, etc.). The book would interest a wide array of professors, researchers, lecturers, students in fields of economics, consultants, and decision makers interested in the issues related to economic issues in Asia. .
    DOI: 10.1007/978-981-19-9669-6
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  • 44
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    Proceedings of the 9th International Conference on Computational Science and Technology : ICCST 2022, 27–28 August, Johor Bahru, Malaysia (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811984068
    Language: English
    Pages: 1 Online-Ressource(XIV, 700 p. 297 illus., 242 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Electrical Engineering 983
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Computer networks . ; Quantitative research.
    Abstract: The Equity of Pedagogical Approaches in e-Learning Initiatives in Higher Education Institutions in United Arab Emirates -- Malay Fake News Classification using a Deep Learning Approach -- Iterative Method for Solving Nonliner Fredholm Integral Equations using Quarter-Sweep Newton-PKSOR Method -- Analysis on the Performance of Healthcare Industry in Malaysia with TOPSIS Model -- Prosthetic Parts for Protecting Mobile Robots -- Secret Key Design using an Algebraic Procedure (KAP) for Encrypted Energy Internet-of-Things (EIoT) Contents -- Overview on Online Examination Proctoring using Machine Learning -- Facial Micro-Expressions Analysis: Its Databases, Feature Extraction, and Classification Methods -- Development of ‘SiPantik’ for the Teachers’ Test Items Production -- Face Illumination Reduction Using MADPIP Restoration Approach to Biometric Patient Authentication System -- Smart Cattle: Cattle Live Weight Estimation Based on a Deep Learning Approach -- The Design of a New IT Governance Framework to Optimize the Utilization of Information Technology for MSME -- A Safe Box Safety System with Facial Authentication for Multiple Users -- Depression Detection based on Features of Depressive Behaviour Through social media Analytic: A Systematic Literature Review.
    Abstract: This book gathers the proceedings of the 9th International Conference on Computational Science and Technology (ICCST 2022), held in Johor Bahru, Malaysia, on August 27–28, 2022. The respective contributions offer practitioners and researchers a range of new computational techniques and solutions, identify emerging issues, and outline future research directions, while also showing them how to apply the latest large-scale, high-performance computational methods. .
    DOI: 10.1007/978-981-19-8406-8
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  • 45
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    Global Health and Development : Low-Carbon Economy and Health Innovation (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811994500
    Language: English
    Pages: 1 Online-Ressource (XX, 131 p. 10 illus., 8 illus. in color.)
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Medical economics. ; Public health. ; Global Health ; Low-carbon Economy ; Digital Health ; Health Economics ; Healthcare Innovation ; Public Health ; Konferenzschrift
    Abstract: Chapter 1. Global Health and Development -- Chapter 2. Digital Health -- Chapter 3. Low-Carbon Economy and Healthcare Innovation.
    Abstract: This book reviews the global preparedness to pandemic challenges to human health and development by compiling the brilliant ideas of experts and entrepreneurs from the fields of public health, health economics, environmental engineering, pharmaceutical interventions, and other related fields. This book proposes a collective effort to take pandemic prevention, preparedness, and response seriously and prioritize it accordingly to avoid the potential catastrophe in this inter-connected world by summarizing the lessons learned from the COVID-19. In the context of today’s climate change and its association with human health, the book presents the need for aligning climate and health goals and puts up with the multi-sectors and low-carbon economic strategies where health is prioritized in development. Furthermore, when more and more novel medical and pharmaceutical items worldwide are launched, the health system could be improved. With the help of digital health, artificial intelligence (AI), and other innovative forms of healthcare products, the efficiency and effectiveness of healthcare services provision could be promoted, leading to a more promising future for human health. This book vividly presents how such new technologies are applied to build an intelligent and robust health system and how innovations can be used to promote human health. .
    Note: "Peking University Global Health and Development Forum 2021: Human Health and Medical Innovation in the Era of Low-Carbon Economy was successfully held on December 22, 2021, to celebrate the first anniversary of the establishment of the Institute for Global Health and Development of Peking University (GHD)." - Seite v , Jointly published with Peking University Press
    DOI: 10.1007/978-981-19-9450-0
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  • 46
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    Proceedings of International Conference on Information Technology and Applications : ICITA 2022 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811993312
    Language: English
    Pages: 1 Online-Ressource(XXVIII, 725 p. 229 illus., 178 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 614
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Telecommunication. ; Quantitative research.
    Abstract: Digital Policies and Innovation: Contributions to Redefining Online Learning of Health Professionals -- Reference Framework for the Enterprise Architecture for National Organizations for Official Statistics: Literature Review -- Assessing the Impact of Process Awareness in Industry 4.0 -- An Overview on the Identification of Software Birthmarks for Software Protection -- The Mayan Culture Video Game – “La Casa Maya” -- Impact of Decentralized and Agile Digital Transformational Programs on the Pharmaceutical Industry, including an Assessment of Digital Activity Metrics and Commercial Digital Activities -- Sprinting from Waterfall: The Transformation of University Teaching of Project Management -- Versioning: Representing Cultural Heritage Ev-idences on CIDOC-CRM via a Case Study -- Towards a Route Optimization Modular System -- Intellectual Capital and Information Systems (Technology): What Does Some Literature Review Say -- REST, GraphQL, and GraphQL Wrapper APIs Evaluation. A Computational Laboratory Experiment.
    Abstract: This book includes high-quality papers presented at 16th International Conference on Information Technology and Applications (ICITA 2022), held in Lisbon, Portugal during October 20–22, 2022. The book presents original research work of academics and industry professionals to exchange their knowledge of the state-of-the-art research and development in information technology and applications. The topics covered in the book are cloud computing, business process engineering, machine learning, evolutionary computing, big data analytics, Internet of things and cyber-physical systems, information and knowledge management, computer vision and image processing, computer graphics and games programming, mobile computing, ontology engineering, software and systems modeling, human–computer interaction, online learning / e-learning, computer networks, and web engineering.
    DOI: 10.1007/978-981-19-9331-2
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  • 47
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    Principal Component Analysis and Randomness Test for Big Data Analysis : Practical Applications of RMT-Based Technique (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811939679
    Language: English
    Pages: 1 Online-Ressource (VII, 152 p. 1 illus.)
    Series Statement: Evolutionary Economics and Social Complexity Science 25
    Parallel Title: Erscheint auch als
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    Keywords: Evolutionary economics. ; Institutional economics. ; Big data. ; Quantitative research. ; Big Data Analysis ; RMT-PCA ; Trendy Sectors of the Stock Market ; RMT-Test ; Evaluation of Random Number Generators
    Abstract: Big Data Analysis by Means of RMT-Oriented Methodologies -- Formulation of the RMT-PCA -- RMT-PCA and Stock Markets -- The RMT-test: New Tool to Measure the Randomness of a Given Sequence -- Application of the RMT-test -- Conclusion -- Appendix I: Introduction to vector, inner product, correlation matrix -- Appendix II: Jacobi’s rotation algorithm -- Appendix III: Program for the RMT-test -- Appendix IV: RMT-test applied on TOIPXcore30 index time series in 2014 -- Appendix V: RMT-test applied on TOIPX index time series in 2011-2014.
    Abstract: This book presents the novel approach of analyzing large-sized rectangular-shaped numerical data (so-called big data). The essence of this approach is to grasp the "meaning" of the data instantly, without getting into the details of individual data. Unlike conventional approaches of principal component analysis, randomness tests, and visualization methods, the authors' approach has the benefits of universality and simplicity of data analysis, regardless of data types, structures, or specific field of science. First, mathematical preparation is described. The RMT-PCA and the RMT-test utilize the cross-correlation matrix of time series, C = XXT, where X represents a rectangular matrix of N rows and L columns and XT represents the transverse matrix of X. Because C is symmetric, namely, C = CT, it can be converted to a diagonal matrix of eigenvalues by a similarity transformation SCS-1 = SCST using an orthogonal matrix S. When N is significantly large, the histogram of the eigenvalue distribution can be compared to the theoretical formula derived in the context of the random matrix theory (RMT, in abbreviation). Then the RMT-PCA applied to high-frequency stock prices in Japanese and American markets is dealt with. This approach proves its effectiveness in extracting "trendy" business sectors of the financial market over the prescribed time scale. In this case, X consists of N stock- prices of length L, and the correlation matrix C is an N by N square matrix, whose element at the i-th row and j-th column is the inner product of the price time series of the length L of the i-th stock and the j-th stock of the equal length L. Next, the RMT-test is applied to measure randomness of various random number generators, including algorithmically generated random numbers and physically generated random numbers. The book concludes by demonstrating two applications of the RMT-test: (1) a comparison of hash functions, and (2) stock prediction by means of randomness, including a new index of off-randomness related to market decline.
    DOI: 10.1007/978-981-19-3967-9
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  • 48
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    Congress on Smart Computing Technologies : Proceedings of CSCT 2022 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819924684
    Language: English
    Pages: 1 Online-Ressource(XII, 525 p. 187 illus., 124 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Smart Innovation, Systems and Technologies 351
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Internet of things. ; Quantitative research. ; Medical informatics.
    Abstract: 1. Equity Market Price Prediction using Fuzzy-Genetic Machine Learning Algorithms -- 2. A Convolution Neural Network model to Classify Handwritten Digits from Skeletons -- 3. A Wavelet Thresholding-Based Approach for De-Noising the Color Image Affected by Gaussian Noise -- 4. Detection and classification of Diabetic Retinopathy using image processing and machine learning techniques -- 5. Analysis of EEG Signal of the Elderly for Hand Grip Muscle Activity -- 6. A systematic review of Image Fusion approaches -- 7. CASE STUDY: ANPR utilized for Smart Parking -- 8. Classification of Esophageal Cancer Using Ensembled CNN with Generalized Normal Distribution Optimization Model and Support Vector Machine Classifier.
    Abstract: This book presents high-quality research papers presented at Congress on Smart Computing Technologies (CSCT 2022) organized by SAU Center for Research and Innovative Learning (SCRIL), South Asian University, India, from 3–4 December 2022. The book extensively covers recent research in algorithms for smart computing, AI and machine learning in smart computing, edge computing algorithms, adversarial networks and autoencoders, data visualization, data mining, data analytics, machine learning, game theory, high-performance computing, mobile and ubiquitous platforms for smart environments, cloud/edge/fog computing technologies for smart systems, Internet of Things (IoT) and industrial IoT technologies for smart systems, smart device and hardware, security, privacy, and economics in smart environments, big data, healthcare informatics, smart precision agriculture, smart transportation, social network analysis, and human–computer interaction.
    DOI: 10.1007/978-981-99-2468-4
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  • 49
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    Computing for Data Analysis: Theory and Practices (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811980046
    Language: English
    Pages: 1 Online-Ressource(XVIII, 222 p. 91 illus., 69 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Data-Intensive Research
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Quantitative research. ; Cloud Computing. ; Internet of things.
    Abstract: Part 1. Introduction -- Chapter 1. Introduction -- Part 2. Integration of Cloud, Internet of Things, Virtual Reality and Big Data Analytics -- Chapter 2. Impact of Big Data and Cloud Computing on Data Analysis -- Chapter 3. Edge Computing with Internet of Things (IoT) and Data Analysis -- Chapter 4. Virtual and Augmented Reality with Embedded Systems -- Part 3. Biological Applications of Data Analytics -- Chapter 5. Computational Biology towards Data Analysis -- Chapter 6. Data Classification through Cognitive Computing -- Part 4. Quantum Computing for Data Analysis -- Chapter 7. Quantum Computing in Machine Learning -- Chapter 8. Quantum Computing in Image Processing -- Part 5. Computations for Various Data Applications and Future -- Chapter 9. Challenges and Future Research Directions on Data Computation .
    Abstract: This book covers various cutting-edge computing technologies and their applications over data. It discusses in-depth knowledge on big data and cloud computing, quantum computing, cognitive computing, and computational biology with respect to different kinds of data analysis and applications. In this book, authors describe some interesting models in the cloud, quantum, cognitive, and computational biology domains that provide some useful impact on intelligent data (emotional, image, etc.) analysis. They also explain how these computing technologies based data analysis approaches used for various real-life applications. The book will be beneficial for readers working in this area.
    DOI: 10.1007/978-981-19-8004-6
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  • 50
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    Proceedings of the 6th International Conference on Economic Management and Green Development (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811978265
    Language: English
    Pages: 1 Online-Ressource (XVI, 1715 p. 318 illus., 244 illus. in color.)
    Series Statement: Applied Economics and Policy Studies
    Parallel Title: Erscheint auch als
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    Keywords: Economic policy. ; Management. ; Sustainability. ; Public Health ; Sustainable Development ; Social Innovation ; Corporate Innovation ; Green Development ; Public Service ; Konferenzschrift
    Abstract: Research on the Analysis and Strategy of American Inflation in the Context of COVID-19 -- Analysis of China’s Beauty Brand Marketing Strategy and Sales Model -- Modeling and Economic Analysis of Wind- Marine Current -Biogas Integrated Energy System.
    Abstract: This proceedings book, together with the conference, looks forward to spark inspirations and promote collaborations. International Conference on Economic Management and Green Development (ICEMGD) is an annual conference aiming at bringing together researchers from the fields of economics, business management, public administration, and green development for the sharing of research methods and theoretical breakthroughs. The proceedings consist of papers accepted by the 6th ICEMGD, which are carefully selected and reviewed by professional reviewers from corresponding research fields and the editing committee of the conference. The papers have a diverse range of topics situated at the intersecting field of economic management, public administration, and green development. ICEMGD is working to provide a platform for international participants from fields like macro- and microeconomics, international economics, finance, agricultural economics, health economics, business management and marketing strategies, regional development studies, social governance, and sustainable development. The proceedings will be of interest to researchers, academics, professionals, and policy makers in the field of economic management, public administration, and development studies. .
    DOI: 10.1007/978-981-19-7826-5
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  • 51
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    "Connective (tissue) pathology: was uns verbindet!" : 105. Jahrestagung der Deutschen Gesellschaft für Pathologie, Münster, 9.-11. Juni 2022 ; Abstractband (2022)
    Berlin
    Show associated volumes/articles
    Details
    Language: German
    Pages: 1 Online-Ressource (523 Seiten)
    Keywords: Konferenzschrift
    URL: https://www.pathologie-dgp.de/media/Dgp/Jahrestagung-2022/DGP2022_Abstractband_final_Web.pdf
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    Innovative Data Communication Technologies and Application : Proceedings of ICIDCA 2021 (2022)
    Singapore : Springer Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811671678
    Language: English
    Pages: 1 Online-Ressource(XX, 1052 p. 582 illus., 461 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 96
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    Keywords: Computational intelligence. ; Computer engineering. ; Computer networks . ; Quantitative research.
    Abstract: Chapter 1. Mobile Application for Tour Planning using Augmented Reality -- Chapter 2. Wrapper-Naive Bayes approach to Perform Efficient Customer Behavior Prediction -- Chapter 3. ECG Acquisition Analysis on Smartphone through Bluetooth and Wireless Communication -- Chapter 4. Enhanced Security of user Authentication on Doctor E-Appointment System -- Chapter 5. Enhanced Shadow Removal for Surveillance Systems -- Chapter 6. Vehicle Speed Estimation and Tracking using Deep Learning and Computer Vision -- Chapter 7. Transparent Blockchain-based Electronic Voting System: A Smart Voting Using Ethereum -- Chapter 8. Usuage of Machine Learning Algorithms to Detect Intrusion -- Chapter 9. Speech Emotion Analyzer -- Chapter 10. A Review of Security Concerns in Smart Grid -- Chapter 11. An Efficient E-mail Spam Detection utilizing Machine Learning Approaches -- Chapter 12. Malware Prediction Analysis using AI Techniques with the effective Preprocessing and Dimensionality Reduction -- Chapter 13. Statistical Test to Analyze Gene Micro array -- Chapter 14. An Analysis on Classification models to Predict Possibility for type 2 Diabetes of a Patient -- Chapter 15. Preserve Privacy on Streaming data during the process of Mining using user defined Delta value.
    Abstract: This book presents the latest research in the fields of computational intelligence, ubiquitous computing models, communication intelligence, communication security, machine learning, informatics, mobile computing, cloud computing, and big data analytics. The best selected papers, presented at the International Conference on Innovative Data Communication Technologies and Application (ICIDCA 2021), are included in the book. The book focuses on the theory, design, analysis, implementation, and application of distributed systems and networks.
    DOI: 10.1007/978-981-16-7167-8
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    Smart Prisons (2022)
    Singapore : Springer Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811696572
    Language: English
    Pages: 1 Online-Ressource(XI, 160 p. 57 illus., 1 illus. in color.)
    Edition: 1st ed. 2022.
    Parallel Title: Erscheint auch als
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    Keywords: Quantitative research. ; Corrections. ; Punishment. ; Criminology.
    Abstract: This book aims to apply the new generation of information technology to the research and practice of prison management, promote the reform of prison security, fair law enforcement, educational correction and other management modes brought about by strengthening the police with science and technology, deepen the practice of administering prison according to law, and promote the modernization of prison governance system and governance capacity. This book is suitable for the personnel engaged in the management and informatization construction of prisons, drug rehabilitation centers, detention houses, and community correction institutions as professional book and is also suitable as the teaching, training, and reference book of criminal execution, prison management, community correction, judicial information technology, prison information technology, and other majors in the colledge of criminal justice.
    DOI: 10.1007/978-981-16-9657-2
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    Proceedings of the 8th International Conference on Computational Science and Technology : ICCST 2021, Labuan, Malaysia, 28–29 August (2022)
    Singapore : Springer Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811685156
    Language: English
    Pages: 1 Online-Ressource(XV, 905 p. 351 illus., 261 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes in Electrical Engineering 835
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Computer networks . ; Quantitative research.
    Abstract: Optimizing the Financial Efficiency of Logistics Companies with Data Envelopment Analysis Model -- T Research Output to Industry Use: A Readiness Study for Topic Modelling with Sentiment Analysis -- Human Motion Recognition Based on Kinect Sensor and Leap Motion Controller -- A Review on the Hyperparameters Used in Machine Learning Approaches for Classifying Paddy Rice Field -- Cloud Database in Mobile Augmented Reality -- A Brief Comparative of Indoor Positioning System -- Application of Speech Augmented Reality for Sabah Tourism Industry -- Analysis on the Financial Performance of Companies with TOPSIS Model. Evaluation of the Financial Distress Level of Construction Companies in Malaysia using Z-score Model -- Mathematical Model for Scheduling Problems: A Compatibility Test on University Course Timetabling Problem -- Vision-based Dynamic Hand Gesture Recognition Techniques and Applications: A Review -- A Review on Statistical and Machine Learning Approaches to Forecasting the Occurrence of Covid-19 Positive Cases.
    Abstract: This book gathers the proceedings of the Seventh International Conference on Computational Science and Technology (ICCST 2021), held in Labuan, Malaysia, on 28–29 August 2021. The respective contributions offer practitioners and researchers a range of new computational techniques and solutions, identify emerging issues, and outline future research directions, while also showing them how to apply the latest large-scale, high-performance computational methods.
    DOI: 10.1007/978-981-16-8515-6
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    Recent Trends in Communication and Intelligent Systems : Proceedings of ICRTCIS 2021 (2022)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811913242
    Language: English
    Pages: 1 Online-Ressource(XVI, 334 p. 194 illus., 152 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Algorithms for Intelligent Systems
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Control engineering. ; Quantitative research.
    Abstract: Chapter 1. Deep Learning-Based Adaptive Deep Belief Neural Networks For Neonatal Apnea Level Classification Using Pre-Term Birth Health Record -- Chapter 2. Hybrid Feature Extraction Technique for Tamil Automatic Speech Recognition System in Noisy Environment -- Chapter 3. Implementation and Image Transformation for Ground Penetration Image Radar System -- Chapter 4. Effect of Geospatial Weather Features on COVID-19 Spread in India using Machine Learning -- Chapter 5. Adiabatic Logic Code Converters Design at Different Sub Micron Technologies -- Chapter 6. A Cross connected Switch Capacitor Multi Level Inverter: A Proposed Topology and its Analysis -- Chapter 7. A Comparative study on Sentiment Analysis of Uber and Ola Customer Reviews based on Machine Learning Approaches -- Chapter 8. A Cost-Effective IoT Assisted Framework For Automatic Irrigation -- Chapter 9. Constrained Optimization based Routing for Multipath and Multihop Propagation in WSN -- Chapter 10. Performance comparison of fuzzy logic and evolutionary algorithm optimized controller for a multi-area power system -- Chapter 11. Leveraging CNNs for real-time pothole detection -- Chapter 12. IoT Devices for Detecting and Machine Learning for Predicting COVID-19 Outbreak -- Chapter 13. Text Detection from Scene and Born Images: How Good is Tesseract? -- Chapter 14. Load Frequency Control Of Hybrid Power System Integrated With Solar-Thermal And Geothermal System -- Chapter 15. An Improved Stock Market Index Prediction System based on LSTM.
    Abstract: This book presents best selected research papers presented at the Third International Conference on Recent Trends in Communication and Intelligent Systems (ICRTCIS 2021), organized by Arya College of Engineering and IT, Jaipur, on 22-23 October 2021. It discusses the latest technologies in communication and intelligent systems, covering various areas of communication engineering, such as signal processing, VLSI design, embedded systems, wireless communications, and electronics and communications in general. Featuring work by leading researchers and technocrats, the book serves as a valuable reference resource for young researchers and academics as well as practitioners in industry.
    DOI: 10.1007/978-981-19-1324-2
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    Intelligent Technologies: Concepts, Applications, and Future Directions (2022)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811910210
    Language: English
    Pages: 1 Online-Ressource(XIII, 335 p. 156 illus., 112 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Studies in Computational Intelligence 1028
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Quantitative research. ; Cloud Computing. ; Wireless communication systems. ; Mobile communication systems.
    Abstract: Design of Efficient Algorithms for Mobile Charging in Wireless Sensor Networks -- Registration of Point Clouds for Human Face Recognition -- Classifying the Social Media Author Profile through a Multimodal Representation -- An Investigation into Effective Fault Localization -- Dependability Analysis for Transaction Processing in On-Demand Computing System -- Investigating and Devising Privacy Preserving Approaches for Location based Services -- Design of Intelligent Scheduling Algorithms for Cloud Computing -- Studies in Algorithms and Architectures for Sample Preparation with Digital Microfluidics -- Application of Soft Computing Techniques in Database Intrusion Detection -- Design and Applications of Improved Meta Heuristic Algorithms for Neural Network Training.
    Abstract: This book discusses automated computing systems which are mostly powered by intelligent technologies like artificial intelligence, machine learning, image recognition, speech processing, cloud computing, etc., to perform complex automated tasks which are not possible by traditional computing systems. The chapters are extended version of research works presented at first Ph.D. Research Symposium in various advanced technologies used in the field of computer science. This book provides an opportunity for the researchers to get ideas regarding the ongoing works that help them in formulating problems of their interest. The academicians can also be benefited to know about the current research trends that smooth the way to guide their students to carry out research work in the proper direction. The industry people will be also facilitated to know about the current advances in research work and materialize the research work into industrial applications.
    DOI: 10.1007/978-981-19-1021-0
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    Rising Threats in Expert Applications and Solutions : Proceedings of FICR-TEAS 2022 (2022)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811911224
    Language: English
    Pages: 1 Online-Ressource(XXI, 729 p. 310 illus., 244 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes in Networks and Systems 434
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Internet of things. ; Quantitative research. ; Data protection.
    Abstract: A Novel Approach for Detecting Online Malware Detection Using Performance Metrics Using LSTMRNN and BRNN Based Recurrent Neural Network in Cloud Environment -- Analytical Study of Augmented Reality Simulation System Application on Paintings -- A New Model SATV for Sentiment Analysis of Hinglish Sentences -- Characterization of Molecular Dynamic Trajectory using K-means clustering -- Data Warehouse Modernization using Document-Oriented ETL Framework for Real Time Analytics -- Opinion Mining for Breast Cancer Disease Using Apriori and K-Modes Clustering Algorithm -- Deep learning approach based on ADASYN for detection of Web attacks in the CICIDS2017 dataset -- FUNDUS and OCT Image Classification using Deep Learning Techniques -- A Secure Framework for the Deployment of Microservices using Cloud Container Technology -- Time Series Analytics – A fuel to Data Science in forecasting Analytics for time stamped data -- Sparse Autoencoder and Deep learning based Framework for Multi-label Classification of Chronic Diseases -- A Comparative study of different machine learning based feature extraction techniques in bacterial image classification -- Cloud removal and satellite image reconstruction using Deep Learning based Image inpainting approaches -- A Novel Cipher Technique using Substitution and Transposition Methods -- Edge Computing: State of Art with Current challenges and future opportunities -- Deep Learning and Machine Learning Approaches for the Classification of Personality Traits: Review -- Two Level Priority Task Scheduling Algorithm For Real Time IoT Based Storage Condition Assessment System -- Intrusion Detection of Internet of Things Botnet Attacks using Data Mining Technique -- Code Tamper-proofing using Return Oriented Programming in IoT Devices -- Conversion of Punjabi Sign Language using Animation -- Deep Learning based Classification of Microscopic Fungal Images -- Application of Artificial Neural Network and Multiple Linear Regression in Predicting Consumer Attitude towards Use of Mobile Wallet -- Securing Unauthorized Access to Cloud Data Storage -- A Survey on Water Usage Optimization using Artificial Intelligence in Agricultural Sector -- The Role of Artificial Neural Network in Word Sense Disambiguation (WSD) - A Survey -- Covid-19 Challenges for digital education and critical analysis -- Cloud Computing: Concepts and Techniques with Service Provider Analysis -- Analyzing Frequency Rhythms in Posed and Spontaneous Emotions Using Time- Intensity of EEG Signals -- Improving Classification Performance Using The Semi-Pivoted QR approximation algorithm -- Comparative Study on Video Based Face Recognition Methods -- An Innovative Framework based Algorithmic Approach for Object Detection -- Smart Bus Concept of COVID-19 Prevention using Face-Bio Keys -- Data Integration Solutions - A Key to the Cloud Migration -- A Proposed Structure, primarily based totally on Cloud Computing for Enhancing Electronic Commerce Applications -- Deep Learning and Internet of Things (IoT) Based Irrigation System for Cultivation of Paddy Crop -- Review of Machine Learning Techniques for Analysis of Medical Data Sets -- Incorporating contextual information in prediction based word embedding models -- Distributed Cloud Data Center for Efficient Services in Logistics Management -- Plants Disease Detection using Image Processing using Tensor flow: A boon to agriculture -- Data Visualisation using Self-Organising Maps -- SQL Injection Attacks, Detection Techniques on Web Application Databases -- Deep Learning Based Brain Tumor Segmentation: Recent Updates -- Mobile Application for Smart Agriculture in India: "An Analytical Approach" -- Offline handwritten character recognition of Gujarati characters using convolutional neural network -- Forecasting Solar Energy on Time Frame: A Review -- Framework for Faster Index Search -- Image Classification by Optimized Convolution Neural Networks -- Benefits of Mining Fashion Data -- Current state of Engineering Education in India: Student Teacher scenario in online mode -- Estimating Blockchain using Time-series forecasting ARIMA -- Analyzing Online Reviews of Customers using Machine Learning Techniques -- Assessing between-group differences in implementation of Lean Six Sigma management conception -- Boosting Blockchain Mechanism using Cryptographic Algorithm in WSN -- Virtual Try-On using Augmented Reality -- Fractures Classification and Detection Using DIP And ML -- Sentiment Analysis in Social Media Website -- Artificial Intelligence based Techniques for Underwater Image Restoration and Enhancement.-A rapid computing technology on profound computing era with quantum computing -- Covid-19: Comparison of Time series forecasting models and Hybrid ARIMA- ANN -- YOLOV5 and Morphological Hat Transform Based Traffic Sign Recognition -- Optimizer Based Performance Study of Block Wise Fine-Tuning AlexNet -- Comparative study on Image Feature Extraction Techniques -- Cyber Security Threat and it's Global Perspective -- Detecting Cheating in Online Assessments using Face Recognition and Head Pose Estimation -- Opinion System of Real-Time Emotions from Human Interaction incoporated in Class using Deep Learning -- A Study on Automatic Detection of Alzheimer’s disease using Multimodalities -- IoT enabled smart tourism (IoTeST): tourism service dimension -- An Innovative Approach towards Designing Efficient K-Nearest Neighbour Algorithm -- Latest trends in Multi-Modality Medical Image Fusion: A Generic Review -- Comparison Study of Classification Techniques for Predicting Performance of Students using Weka Environment -- Multimodal Autism Detection in Children through Facial and Speech Emotion -- A Contemporary Learning on Smart Devices for Smart Metropolis -- Malpractice Detection in Online Assessment using Eye Gaze Tracking and Object Detection -- Big Data f5 Load Balancer with ChatBots Framework -- Keylogger awareness and use in Cyber Forensics.
    Abstract: The book presents high-quality, peer-reviewed papers from the FICR International Conference on Rising Threats in Expert Applications and Solutions 2022 organized by IIS (Deemed to be University), Jaipur, Rajasthan, India, during January 7–8, 2022. The volume is a collection of innovative ideas from researchers, scientists, academicians, industry professionals, and students. The book covers a variety of topics, such as expert applications and artificial intelligence/machine learning; advance web technologies such as IoT, big data, cloud computing in expert applications; information and cyber security threats and solutions, multimedia applications in forensics, security and intelligence; advancements in app development; management practices for expert applications; and social and ethical aspects in expert applications through applied sciences.
    DOI: 10.1007/978-981-19-1122-4
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    Proceedings of Emerging Trends and Technologies on Intelligent Systems : ETTIS 2021 (2022)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811630972
    Language: English
    Pages: 1 Online-Ressource(XI, 362 p. 156 illus., 116 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Advances in Intelligent Systems and Computing 1371
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Computer engineering. ; Computer networks . ; Quantitative research.
    Abstract: Application Layer Ddos Attack Detection And Defense Methods -- Identification and Analysis of Threat Vector for Security Evaluation of LAN -- Review of Stack-Based Binary Exploitation Techniques -- OntoBlogDis: A Knowledge Centric Ontology Driven Socially Aware Framework for Influential Blogger Discovery -- An Ontology based Semantic Approach for First Aid Prediction in Aviation Services incorporating RBFNN over a Cloud Server -- Benchmarking Analysis of CNN Architectures for Artificial Intelligence Platforms -- Welding Defect Inspection using Deep learning -- Image generation using GAN and their classification using SVM and CNN -- VDNet: Vehicle Detection Network using Computer Vision and Deep Learning Mechanism for Intelligent Vehicle System -- FCNet: Flower Classification Using Custom Made Convolution Neural Network and Transfer Learning.
    Abstract: This book presents best selected papers presented at the International Conference on Emerging Trends and Technologies on Intelligent Systems (ETTIS 2021) held from 4 – 5 March 2021 in online mode at C-DAC, Noida, India. The book includes current research works in the areas of artificial intelligence, big data, cyber-physical systems, and security in industrial/real-world settings. The book illustrates on-going research results, projects, surveying works, and industrial experiences that describe significant advances in all of the related areas.
    DOI: 10.1007/978-981-16-3097-2
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    Sensor- and Video-Based Activity and Behavior Computing : Proceedings of 3rd International Conference on Activity and Behavior Computing (ABC 2021) (2022)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811903618
    Language: English
    Pages: 1 Online-Ressource(XIV, 264 p. 113 illus., 106 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Smart Innovation, Systems and Technologies 291
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    Keywords: Computational intelligence. ; Quantitative research. ; Artificial intelligence. ; Data protection. ; Medical informatics.
    Abstract: Chapter 1. Toward the Analysis of Office Worker’s Mental Indicators Based on Activity Data -- Chapter 2. Open-Source Data Collection for Activity Studies at Scale -- Chapter 3. Using LUPI to Improve Complex Activity Recognition -- Chapter 4. Attempts toward Behavior Recognition of the Asian Black Bears using an Accelerometer -- Chapter 5. Using Human Body Capacitance Sensing to Monitor Leg Motion Dominated Activities with a Wrist Worn Device -- Chapter 6. BoxerSense: Punch Detection and Classification Using IMUs -- Chapter 7. FootbSense: Soccer Moves Identification Using a Single IMU -- Chapter 8. A data-driven approach for online pre-impact fall detection with wearable devices -- Chapter 9. Modeling Reminder System for Dementia by Reinforcement Learning -- Chapter 10. Can Ensemble of Classifiers Provide Better Recognition Results in Packaging Activity? -- Chapter 11. Identification of Food Packaging Activity Using MoCap Sensor Data -- Chapter 12. Lunch-Box Preparation Activity Understanding from Motion Capture Data Using Handcrafted Features -- Chapter 13. Bento Packaging Activity Recognition Based on Statistical Features -- Chapter 14. Using k-Nearest-Neighbors Feature Selection for Activity Recognition -- Chapter 15. Bento Packaging Activity Recognition from Motion Capture Data -- Chapter 16. Bento Packaging Activity Recognition with Convolutional LSTM using Autocorrelation Function and Majority Vote -- Chapter 17. Summary of the Bento Packaging Activity Recognition Challenge.
    Abstract: This book presents the best-selected research papers presented at the 3rd International Conference on Activity and Behavior Computing (ABC 2021), during 20–22 October 2021. The book includes works related to the field of vision- and sensor-based human action or activity and behavior analysis and recognition. It covers human activity recognition (HAR), action understanding, gait analysis, gesture recognition, behavior analysis, emotion, and affective computing, and related areas. The book addresses various challenges and aspects of human activity recognition—both in sensor-based and vision-based domains. It can be considered as an excellent treasury related to the human activity and behavior computing. .
    DOI: 10.1007/978-981-19-0361-8
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    Intelligent Systems and Sustainable Computing : Proceedings of ICISSC 2021 (2022)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811900112
    Language: English
    Pages: 1 Online-Ressource(XVIII, 677 p. 363 illus., 268 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Smart Innovation, Systems and Technologies 289
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Internet of things. ; Quantitative research. ; Signal processing.
    Abstract: Unsupervised Learning for the Automatic Management of Scientific Aspect in Academic Conferences -- Context-Sensing from Deployed IoT sensors for improved public Transport Systems -- College Admissions Counseling Using Intelligent Question Answering System -- Juvenile crime categorization with EM clustering -- Review of Interoperability Issues Influencing Acceptance and Adoption of Cloud Computing Technology by Consumers.
    Abstract: The book is a collection of best selected research papers presented at the International Conference on Intelligent Systems and Sustainable Computing (ICISSC 2021), held in School of Engineering, Malla Reddy University, Hyderabad, India, during 24–25 September 2021. The book covers recent research in intelligent systems, intelligent business systems, soft computing, swarm intelligence, artificial intelligence and neural networks, data mining & data warehousing, cloud computing, distributed computing, big data analytics, Internet of Things (IoT), machine learning, speech processing, sustainable high-performance systems, VLSI and embedded systems, image and video processing, and signal processing and communication.
    DOI: 10.1007/978-981-19-0011-2
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    Predictive Analytics of Psychological Disorders in Healthcare : Data Analytics on Psychological Disorders (2022)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811917240
    Language: English
    Pages: 1 Online-Ressource(XVI, 303 p. 122 illus., 102 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 128
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    Keywords: Computational intelligence. ; Medical informatics. ; Cognitive psychology. ; Machine learning. ; Quantitative research.
    Abstract: Predictive analysis of psychological disorders on health -- AI-Based predictive analytics for Patients' psychological disorder -- Predicting depression through social media -- Measuring Mental Health at Workplaces using Machine Learning Techniques -- Tertiary Students Stress Detection during Online Learning in Jos, Nigeria -- Challenges & Privacy Concerns Related to Use of Information Technology in Mental Healthcare. .
    Abstract: This book discusses an interdisciplinary field which combines two major domains: healthcare and data analytics. It presents research studies by experts helping to fight discontent, distress, anxiety and unrealized potential by using mathematical models, machine learning, artificial intelligence, etc. and take preventive measures beforehand. Psychological disorders and biological abnormalities are significantly related with the applications of cognitive illnesses which has increased significantly in contemporary years and needs rapid investigation. The research content of this book is helpful for psychological undergraduates, health workers and their trainees, therapists, medical psychologists, and nurses.
    DOI: 10.1007/978-981-19-1724-0
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    Prognostic Models in Healthcare: AI and Statistical Approaches (2022)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811920578
    Language: English
    Pages: 1 Online-Ressource(XXII, 504 p. 211 illus., 161 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Studies in Big Data 109
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    Keywords: Computational intelligence. ; Medical informatics. ; Computer simulation. ; Quantitative research. ; Neural networks (Computer science).
    Abstract: Segmentation of White Blood Cells in Acute Myeloid Leukaemia Microscopic Images: The Current Challenges and Future Solutions -- Computer Vision Based Prognostic Modeling of COVID-19 from Medical Imaging -- Skin Lesion Classification From Dermoscopic Images with Deep Residual Network based Fused Pigmented Deep Feature Extraction and Entropy Based Best Features Selection Approach -- Computer Vision Technologies for COVID-19 Prediction, Diagnosis and Prevention -- Health monitoring methods in heart diseases based on data mining approach, a directional survey -- Machine learning based brain diseases diagnosing in electroencephalogram signals, Alzheimer and Parkinson's -- Skin Lesion Detection Using Recent Machine Learning Approaches -- Improving monitoring and controling parameters for Alzheimer's patients based on IoT -- A Novel Method for Lung Segmentation of Chest with Convolutional Neural Network -- Leukemia Detection Using Machine and Deep Learning Through Microscopic Images-A Review.
    Abstract: This book focuses on contemporary technologies and research in computational intelligence that has reached the practical level and is now accessible in preclinical and clinical settings. This book's principal objective is to thoroughly understand significant technological breakthroughs and research results in predictive modeling in healthcare imaging and data analysis. Machine learning and deep learning could be used to fully automate the diagnosis and prognosis of patients in medical fields. The healthcare industry's emphasis has evolved from a clinical-centric to a patient-centric model. However, it is still facing several technical, computational, and ethical challenges. Big data analytics in health care is becoming a revolution in technical as well as societal well-being viewpoints. Moreover, in this age of big data, there is increased access to massive amounts of regularly gathered data from the healthcare industry that has necessitated the development of predictive models and automated solutions for the early identification of critical and chronic illnesses. The book contains high-quality, original work that will assist readers in realizing novel applications and contexts for deep learning architectures and algorithms, making it an indispensable reference guide for academic researchers, professionals, industrial software engineers, and innovative model developers in healthcare industry.
    DOI: 10.1007/978-981-19-2057-8
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    Data Intelligence and Cognitive Informatics : Proceedings of ICDICI 2021 (2022)
    Singapore : Springer Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811664601
    Language: English
    Pages: 1 Online-Ressource(XIX, 859 p. 464 illus., 352 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Algorithms for Intelligent Systems
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Quantitative research. ; Computational neuroscience.
    Abstract: 1. NLP Based Resume Screening & Job Recruitment Portal -- 2. Access Control and Authorization Techniques w.r.t. Client Applications -- 3. Anomaly Detection In Biomedical Data and Image Using Various Shallow and Deep Learning Algorithms -- 4. Quantum Generative Adversarial Networks -- 5. Sentimental Analysis For E-commerse Site -- 6. A Novel Approach to Apply Different Algorithms to Predict Covid-19 Disease -- 7. Gene regulation via Bloom filter -- 8. A Novel Survey on Ubiquitous Computing -- 9. Emotion Recognition in Speech using Convolutional Neural Networks.
    Abstract: The book is a collection of peer-reviewed best selected research papers presented at the International Conference on Data Intelligence and Cognitive Informatics (ICDICI 2021), organized by SCAD College of Engineering and Technology, Tirunelveli, India, during July 16–17, 2021. This book discusses new cognitive informatics tools, algorithms, and methods that mimic the mechanisms of the human brain which leads to an impending revolution in understating a large amount of data generated by various smart applications. The book includes novel work in data intelligence domain which combines with the increasing efforts of artificial intelligence, machine learning, deep learning, and cognitive science to study and develop a deeper understanding of the information processing systems.
    DOI: 10.1007/978-981-16-6460-1
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    Proceedings of Second International Conference on Advances in Computer Engineering and Communication Systems : ICACECS 2021 (2022)
    Singapore : Springer Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811673894
    Language: English
    Pages: 1 Online-Ressource(XXXII, 599 p. 370 illus., 271 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Algorithms for Intelligent Systems
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Cloud Computing. ; Quantitative research. ; Internet of things.
    Abstract: Deep Learning for Conversions between Melodic Frameworks of Indian Classical Music -- Content-Based Image Retrieval System using Fuzzy Colour and Local Binary Pattern with Apache Lucene -- Machine Vision Based Conveyor & Structural Health Monitoring Robot for Industrial Application using Deep Learning -- Design and Development of Marathi Word Stemmer -- Survey on Deep Learning System for Intruder Behaviour Detection and Classification in Cloud Computing -- Abstractive Multi-Document Summarization using Deep Learning Approaches -- Heart Disease Prediction using Decision Tree and SVM -- Classification of Skin Diseases using Ensemble Method -- An Integrated Decision Support System for Strom Surge Early Warning using SOA -- Object Tracking and Detection using Convolutional Neural Networks -- Novel Coronavirus Progression Analysis using Time Series Forecasting -- A Modern Approach to Seed Quality Check and it’s Traceability in Agriculture -- Experimental Face Recognition System using Deep Learning Approaches -- Customer-Centric Ecommerce Implementing Artificial Intelligence for Better Sales and Service -- Tomato Plant Disease Classification Using Deep Learning Architectures: A Review.
    Abstract: This book includes original, peer-reviewed research articles from International Conference on Advances in Computer Engineering and Communication Systems (ICACECS 2021), held in VNR Vignana Jyoythi Institute of Engineering and Technology (VNR VJIET), Hyderabad, Telangana, India, during 13–14 August 2021. The book focuses on “Smart Innovations in Mezzanine Technologies, Data Analytics, Networks and Communication Systems” enlargements and reviews on the advanced topics in artificial intelligence, machine learning, data mining and big data computing, knowledge engineering, semantic Web, cloud computing, Internet on Things, cybersecurity, communication systems, and distributed computing and smart systems.
    DOI: 10.1007/978-981-16-7389-4
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    Proceedings of International Conference on Information Technology and Applications : ICITA 2021 (2022)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811676185
    Language: English
    Pages: 1 Online-Ressource(XXIX, 759 p. 272 illus., 223 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes in Networks and Systems 350
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Telecommunication. ; Quantitative research.
    Abstract: A convolutional neural network for artifacts detection in EEG data -- Real-World Protein Particle Network Reconstruction Based on Advanced Hybrid Features -- Improving Coronavirus (COVID-19) Diagnosis using Deep Transfer Learning -- Beard and Hair Detection, Segmentation and Changing Color Using Mask R-CNN -- Transfer Learning Method with Deep Residual Network for Covid-19 Diagnosis Using Chest Radiographs images -- Deep Learning Approach for COVID-19 Diagnosis Using X-Ray Images -- A hybrid approach for classifying Parkinson’s Disease from brain MRI -- Analysis of Generative Adversarial Networks for Data Driven Inverse Airfoil Design -- Deep Oversampling Technique for 4-level Acne Classification in Imbalanced Data -- Decentralisation of FinTech Business Models -- Dynamic Offloading in Fog Computing: A Survey -- A Vietnamese Festival Preservation Application -- Knowledge Models For Software Testing In Robotics -- Performance Enhancement of SAC-OCDMA System Using an Identity Row Shifting Matrix Code -- Malware Prediction using using LSTM Networks -- Personalised Combination of Multi-source Data for User Profiling -- The teaching of technical design in technical courses in Computer Graphics at Federal Institutes of Education, Science and Technology.
    Abstract: This book includes high-quality papers presented at 15th International Conference on Information Technology and Applications (ICITA 2021), held in Dubai, UAE during 13 – 14 November 2021. The book presents original research work of academics and industry professionals to exchange their knowledge of the state-of-the-art research and development in information technology and applications. The topics covered in the book are cloud computing, business process engineering, machine learning, evolutionary computing, big data analytics, internet of things and cyber-physical systems, information and knowledge management, computer vision and image processing, computer graphics and games programming, mobile computing, ontology engineering, software and systems modelling, human computer interaction, online learning / e-learning, computer networks, and web engineering.
    DOI: 10.1007/978-981-16-7618-5
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    Smart Data Intelligence : Proceedings of ICSMDI 2022 (2022)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811933110
    Language: English
    Pages: 1 Online-Ressource(XVI, 599 p. 287 illus., 222 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Algorithms for Intelligent Systems
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Data mining. ; Quantitative research. ; Neural networks (Computer science). ; Multimedia systems.
    Abstract: Detection and Analysis of Sentiments on Twitter Using Machine Learning Algorithm -- Malware Attack Detection on IoT Devices Using Machine Learning -- BeSafe: IoT Based Safety Band -- Stock Market Analysis and forecasting with Statistical and Deep Learning Methods -- The paradigm shift in Higher Education from traditional learning to digitalisation -- Designing a socially intelligent system by cognitive modeling of human-environment interaction -- Web-Based recycle Waste Management for Ecommerce.
    Abstract: This book presents high-quality research papers presented at 2nd International Conference on Smart Data Intelligence (ICSMDI 2022) organized by Kongunadu College of Engineering and Technology at Trichy, Tamil Nadu, India, during April 2022. This book brings out the new advances and research results in the fields of algorithmic design, data analysis, and implementation on various real-time applications. It discusses many emerging related fields like big data, data science, artificial intelligence, machine learning, and deep learning which have deployed a paradigm shift in various data-driven approaches that tends to evolve new data-driven research opportunities in various influential domains like social networks, healthcare, information, and communication applications.
    DOI: 10.1007/978-981-19-3311-0
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    Proceedings of International Conference on Computational Intelligence, Data Science and Cloud Computing : IEM-ICDC 2021 (2022)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811916571
    Language: English
    Pages: 1 Online-Ressource(XVII, 476 p. 236 illus., 173 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Algorithms for Intelligent Systems
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Internet of things. ; Quantitative research. ; Cloud Computing.
    Abstract: AutoDrone: Shortest Optimized Obstacle-Free Path Planning for Autonomous Drones -- Transfer Learning and Transformer Architecture for Financial Sentiment Analysis -- Feature Extraction and Machine Learning for the Classification of Fashion Materials -- Cardamom Quality Evaluation Employing Electronic Nose -- COVID-DeepNet: Deep Convolutional Neural Network Architecture Designed for Early Prognosis of COVID-19 using Post-Anterior View of Chest X-Rays -- Analytical Study on Feature Selection for Big Data using Optimization Algorithms -- A Machine Learning Approach for Predicting the Death Time and Mortality -- Prediction of Crops Production Using Random Forest Regression -- Drowsy Driving Detection based on Deep Neural Network for Accident Avoidance -- An Intelligent Fire-Extinguishing Robotic System to Combat fire in Coal Mines.
    Abstract: This book includes selected papers presented at International Conference on Computational Intelligence, Data Science,, and Cloud Computing (IEM-ICDC 2021), organized by the Department of Information Technology Institute of Engineering and Management, Kolkata, India, during December 22 – 24, 2021. It covers substantial new findings about AI and robotics, image processing and NLP, cloud computing and big data analytics as well as in cyber-security, blockchain and IoT, and various allied fields. The book serves as a reference resource for researchers and practitioners in academia and industry.
    DOI: 10.1007/978-981-19-1657-1
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    Data Ethics and Challenges (2022)
    Singapore : Springer Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811907524
    Language: English
    Pages: 1 Online-Ressource(XII, 81 p. 16 illus., 15 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: SpringerBriefs in Computational Intelligence
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Quantitative research. ; Data protection. ; Information technology—Law and legislation. ; Mass media—Law and legislation.
    Abstract: Data and its Dimensions -- Data Privacy -- Data Security -- Data Ethics -- Intellectual Property Right – Copyright.
    Abstract: This book gives a thorough and systematic introduction to Data, Data Sources, Dimensions of Data, Privacy, and Security Challenges associated with Data, Ethics, Laws, IPR Copyright, and Technology Law. This book will help students, scholars, and practitioners to understand the challenges while dealing with data and its ethical and legal aspects. The book focuses on emerging issues while working with the Data.
    DOI: 10.1007/978-981-19-0752-4
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    Advances in Intelligent Computing and Communication : Proceedings of ICAC 2021 (2022)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811908255
    Language: English
    Pages: 1 Online-Ressource(XXIV, 573 p. 333 illus., 261 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes in Networks and Systems 430
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Mobile computing. ; Quantitative research. ; Telecommunication.
    Abstract: The book presents high-quality research papers presented at 4th International Conference on Intelligent Computing and Advances in Communication (ICAC 2021) organized by Siksha ‘O’ Anusandhan, Deemed to be University, Bhubaneswar, Odisha, India, in November 2021. This book brings out the new advances and research results in the fields of theoretical, experimental, and applied signal and image processing, soft computing, networking, and antenna research. Moreover, it provides a comprehensive and systematic reference on the range of alternative conversion processes and technologies.
    DOI: 10.1007/978-981-19-0825-5
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    Proceedings of the 5th International Conference on Economic Management and Green Development (2022)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811905643
    Language: English
    Pages: 1 Online-Ressource (XIII, 832 p. 173 illus., 94 illus. in color.)
    Series Statement: Applied Economics and Policy Studies
    Series Statement: Springer eBook Collection
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Economic development. ; Economic policy. ; Sustainability. ; Environmental economics. ; public health ; sustainable development ; social innovation ; corporate innovation ; public service ; Konferenzschrift
    Abstract: The proceedings consist of papers accepted by the 5th ICEMGD, which are carefully selected and reviewed by professional reviewers from corresponding research fields and the editing committee of the conference. The papers have a diverse range of topics situated at the intersecting field of Economic Management, Public Administration and Green Development. ICEMGD is working to provide a platform for international participants from fields like macro- and microeconomics, international economics, finance, agricultural economics, health economics, business management and marketing strategies, regional development studies, social governance, and sustainable development. This proceedings volume, together with the conference, looks forward to spark inspirations and promote collaborations. It will be of interest to researchers, academics, professionals and policy makers in the field of economic management, public administration, and development studies. Due to COVID-19, ICEMGD was held online on 12-17 August, 2021.
    DOI: 10.1007/978-981-19-0564-3
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    Indian Agriculture Towards 2030 : Pathways for Enhancing Farmers' Income, Nutritional Security and Sustainable Food and Farm Systems (2022)
    Singapore : Springer Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811907630
    Language: English
    Pages: 1 Online-Ressource (XV, 311 p. 50 illus., 45 illus. in color.)
    Series Statement: India Studies in Business and Economics
    Series Statement: Springer eBook Collection
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Landwirtschaft ; Nachhaltige Entwicklung ; Agrarreform ; Agrarpolitik ; Ernährungssicherung ; Indien ; Agriculture—Economic aspects. ; Food security. ; Nutrition . ; Sustainability. ; Economic policy. ; Social policy. ; Indian Agriculture ; Agricultural Transformation ; Food System ; Nutritional Security ; Dietary Diversity ; Sustainability in Agriculture ; Agricultural Policymaking ; Agriculture Sector ; Water in Agriculture ; Climate Crisis ; Natural Farming ; Agri Innovations ; Green Revolution ; Konferenzschrift
    Abstract: Chapter 1. Transformational Change -- Chapter 2. Transforming Indian Agriculture -- Chapter 3. Dietary Diversity for Nutritive and Safe food -- Chapter 4. Climate Crisis and Risk Management -- Chapter 5. Water in Agriculture -- Chapter 6. Pests, Pandemics, Preparedness and Biosecurity -- Chapter 7. Natural Farming, Agroecology and Biodiverse Futures -- Chapter 8. Science, Technology and Innovation -- Chapter 9. Structural Reforms and Governance -- Chapter 10. Pathways for 2030.
    Abstract: This open access book brings together varying perspectives for transformational change needed in India’s agriculture and allied sectors. Stressing the need of thinking for a post-Green Revolution future, the book promotes approaching this change through eight broad areas, indicating the policy shifts needed to meet the challenges for the coming decade (2021-2030). The book comprises of ten contributions. Apart from the overview chapter on transformational change and the concluding chapter on pathways for 2030, there are eight thematic chapters on topics such as transforming Indian agriculture, dietary diversity for nutritive and safe food; climate crisis and risk management; water in agriculture; pests, pandemics, preparedness and biosecurity natural farming; agroecology and biodiverse futures; science, technology and innovation in agriculture; and structural reforms and governance. The writing style of these papers written by technical experts is forward-looking—not merely an analysis of what has been and why it was so, but what ought to be. This is an essential reading for those interested in agriculture, food and nutrition sectors of India, and more so their interconnectedness.
    Note: Open Access. - "I am happy to note the thematic papers presented at the National Dialogue on Indian Agriculture Towards 2030: Pathways for Enhancing Farmers' Income, Nutritional Security and Sustainable Food Systems held in January 2021 are being published." - Seite v
    DOI: 10.1007/978-981-19-0763-0
    URL: kostenfrei
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    Economics and Finance Readings : Selected Papers from Asia-Pacific Conference on Economics & Finance, 2021 (2022)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811917202
    Language: English
    Pages: 1 Online-Ressource (XIV, 118 p. 12 illus., 9 illus. in color.)
    Series Statement: Springer eBook Collection
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Economic history. ; Business enterprises—Finance. ; International business enterprises. ; Development economics. ; Commercial law. ; APEF 2021 ; Asia-Pacific Conference on Economics & Finance, 2021 ; East Asia Research ; US-China trade war ; Economic Policy ; Regulatory Economics ; International Finance ; Market Structure and Pricing ; Global Business ; Multivariate Statistics ; Konferenzschrift
    Abstract: Language Requirement for Naturalization, Linguistic Networks, and International Migration: The Role of Common Unofficial Language -- Smart digitalization in Nordic cities and municipalities through Internet of Things -- Are attitudes to financial risk reflected in precautional measures during the Covid-19 pandemic? A European study of individuals aged 50+ -- Impact of user participation behavior and participation emotion on Quality of Users' Ideas in the virtual brand community -- The Impact of Temporal Leadership on the Constructive Deviant Behavior of Knowledge Workers——A Multi-chain Mediating Effect of Regulatory Focus and Self-efficacy -- What, Why and How Financial Development Matters: Evidence of ASEAN-5, Asia-5 and OECD-7 Economies.
    Abstract: This book is a compilation of the best papers presented at the 2022 edition of the Asia-Pacific Conference on Economics & Finance (APEF), which is held annually in Singapore. With a great number of submissions, it presents the latest research findings in economics and finance and discusses relevant issues in today's world. The book is a useful resource for readers who want access to economics, finance and business research focusing on the Asia-Pacific region. The APEF 2021 conference was conducted virtually due to the Covid-19 pandemic. .
    DOI: 10.1007/978-981-19-1720-2
    URL: lizenzpflichtig
    URL: Cover
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    IEIS 2021 : Proceedings of 8th International Conference on Industrial Economics System and Industrial Security Engineering (2022)
    Singapore : Springer Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811686603
    Language: English
    Pages: 1 Online-Ressource (XIV, 125 p. 27 illus., 6 illus. in color.)
    Series Statement: Lecture Notes in Operations Research
    Series Statement: Springer eBook Collection
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: System safety. ; Engineering economics. ; Engineering economy. ; Industrial organization. ; Industrial engineering. ; Production engineering. ; Economic policy. ; Industrial Management. ; Security systems. ; Industrial Economy ; Industrial Structure Security ; Industrial Organization Security ; Industrial Policy Security ; National economic security evaluation ; National economic security policy ; Konferenzschrift
    Abstract: The Evaluation System of Publishing Industry's Competitiveness in Overseas Market -- Economic research on regional poverty alleviation and prevention of return to poverty -- Sustainable Performance of Rural Banking: A Heterogeneity Study in the Coastal Regions of China -- Research of New Energy Vehicles Eco-business Model and Its Influence on Brand Competitiveness -- Equity Diversification and Capital Allocation Efficiency: Evidence from China's mixed ownership reform.
    Abstract: This book aims to provide new research methods, theories and applications from various areas of industrial economics and engineering. In detail, the included scientific papers analyse and describe communication processes in the fields of industrial economics, industrial system, industrial security and engineering and other related areas. The variety of the papers delivers added value for both scholars and practitioners. This book is the documentation of the IEIS 2021 conference. The book covers a great deal of research achievements in industrial restructuring strategy, industrial organization, industrial policy, departmental economic research, industrial competitiveness, regional industrial structure, national industrial economic security theory and empirical research, and it emphasizes on combining theory with practice. The book aims to discuss the issues in industrial economics and industrial security theories and practices. It is the documentation of IEIS 2021 conference, which took place at Shandong University. Due to the impact of COVID-19, it took place online as a virtual conference.
    DOI: 10.1007/978-981-16-8660-3
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    Crises and Uncertainty in the Economy (2022)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811932960
    Language: English
    Pages: 1 Online-Ressource (X, 235 p. 1 illus.)
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Microeconomics. ; Macroeconomics. ; Capital market. ; International trade. ; Economic development. ; Finance. ; Asset allocation ; Attitude towards risk ; Financial economics ; Econometrics ; Market integration ; Monetary policy ; Macroeconomics ; Trade ; Risk management ; Extreme risks ; Economic uncertainty ; Volatility modeling ; Economic forecasts ; Real and financial markets ; Macroeconomic effect ; Financial market under uncertainty ; Financial market pricing ; Financial markets ; Bond markets ; Portfolio management ; Konferenzschrift
    Abstract: 1. Covid-19: What Determines Policy Responses Across Europe? -- 2. Financial Integration And Labor Mobility In A Monetary Union -- 3. Macroeconomic-Financial Policies And Climate Change Nexus: Theory & Practices -- 4. Exchange Market Volatility Spillover In Time Of Crisis: Evidence From A Smooth Transition Regression Application -- 5. Bank Lending Procyclicality And Digital Technologies: Does The Structure Of The Financial Sector Matter? -- 6. What Role For Macroeconomic Environment On Living Standards In Times Of Crisis And Uncertainty -- 7. What Can We Learn From Statistical Regularities In Stock Returns? Insights From Anentropy-Constrained Framework -- 8. Has COVID-19 pandemic fear affected Eurozone stock markets? -- 9. Financial performance during the COVID-19 crisis: The role of investment and revenue -- 10. U.S Stock Market And Cryptocurrencies During The COVID-19 Pandemic Outbreak -- 11. Management and Resolution methods of Non-performing loans: A Review of the Literature -- 12. How Accurate Are Risk Models During COVID-19 Pandemic Period? -- 13. What Does Matter The Climate Change Risk On Agriculture Adaptation: Evidence From Southern Mediterranean Country.
    Abstract: This book explores how the economic sphere has experienced an ultimate shape after the occurrence of several crises, since 2000s. The subprime crisis has trigged the transition from conventional to unconventional frameworks in most industrialised and emerging economies. This book highlights how the sovereign debt crisis has exacerbated the economic environment and raised economic uncertainty. This book asserts that markets integration have boosted contagion and risk spillovers among financial markets. Moreover, the Brexit and US-China trade tension has intensified uncertainty and the economic challenges. This book examines in recent times how humanity has experienced the most dramatic health crisis and their economic effects. This pandemic lockdowns several countries and caused an economic and financial collapse. This book expands on these crises, with different origins and mechanisms, have shaped the economic systems in several ways: monetary policy, macroeconomic imbalance, economic growth, economic integration, financial risk, volatility and trade effects. The main aims of this book cover the topical issues related to crises and uncertainty and the economic consequences. This book is drawn from academics and practitioners presenting high-quality original research papers, presented in the Financial and Economic Meeting conference 2021.
    Note: The main aims of this book cover the topical issues related to crises and uncertainty and the economic consequences. This book is drawn from academics and practitioners presenting high-quality original research papers, presented in the Financial and Economic Meeting conference 2021
    DOI: 10.1007/978-981-19-3296-0
    URL: lizenzpflichtig
    URL: Cover
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    Insolvency and Bankruptcy Reforms in India (2022)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811608544
    Language: English
    Pages: 1 Online-Ressource (XVI, 187 p. 7 illus., 2 illus. in color.)
    Series Statement: India Studies in Business and Economics
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Financial services industry. ; Risk management. ; Insolvency India ; Bankruptcy India ; Insolvency and Bankruptcy Code/ IBC ; Resolution/Liquidation ; Economic Reform ; Home Buyers ; NCLT India ; Prepacks Under IBC ; Data and Insolvency and Bankruptcy Regime ; Konferenzschrift
    Abstract: An Integrative Book Overview Chapter -- The Indian Bankruptcy Reform: The State of the Art -- Reforms and Regulators -- Distortions in Land Markets and Their Implications for Credit Generation in India -- Value Destruction and Wealth Transfer Under the Insolvency and Bankruptcy Code -- The Reserve Bank of India (RBI) - 12 Cases Under the Insolvency and Bankruptcy Code.
    Abstract: This book is about the establishment of the Insolvency and Bankruptcy Code, in 2016, one of the most important new developments in Indian commercial law. The law has major implications for firms, their creditors, and a variety of the professional services that feed into the decisions of borrowers and lenders including lawyers, accountants and valuers. A new profession of insolvency professionals has come to exist owing to the law. There are several questions about bankruptcy reform in the mind of researchers, policy makers and practitioners. How has the reform progressed? How has it reshaped the incentives of firms? What are the difficulties faced? What are the optimal paths for borrowers and lenders and their advisors under the rubric of the law? How should laws and institutions be modified? The book has a unique set of chapters, by key people who have shaped the field which offer novel insights into these questions. The book has been edited by key people who have worked on bankruptcy reform since 2010. Dr. Sahoo has been the chairperson of the Insolvency and Bankruptcy Board of India since the establishment of this regulatory agency. Dr. Thomas was a member of the Bankruptcy Law Reforms Committee which drafted the IBC, and led the internal team of the BLRC which drafted the law. The book is an authentic and credible analysis of the happenings in the Indian insolvency and bankruptcy ecosystem from the start, with interest areas for international and domestic, economics/finance and law, researcher and practitioner communities.
    Note: "I am happy to note that this book undertakes an in-depth diagnosis and evaluation of the Code, and focuses on the challenges that lie ahead, including plausible solutions, some of which were presented and discussed at the IBBI-IGIDR Research Conference held in August, 2018, of which I was a part. I would like to compliment the authors as well as the editor for bringing out such a comprehensive publication on the subject of insolvency." - Seite v und vi. - "Some of the chapters in this book were presented and debated at the IBBII-GIDR-FICCI insolvency and bankruptcy reforms workshop that was held in Mumbai in April 2018, and the IBBI-IGIDR insolvency and bankruptcy reforms conference, which was held in New Delhi in August 2018." - Seite vii
    DOI: 10.1007/978-981-16-0854-4
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    Proceedings of the 2022 International Conference on Business and Policy Studies (2022)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811957277
    Language: English
    Pages: 1 Online-Ressource (XII, 965 p. 280 illus., 245 illus. in color.)
    Series Statement: Applied Economics and Policy Studies
    Series Statement: Springer eBook Collection
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Economic policy. ; Public administration. ; Economic development. ; applied economics ; public policy ; business innovation ; economic growth ; digital economics ; Konferenzschrift
    Abstract: This proceedings volume contains papers accepted by the 2022 International Conference on Business and Policy Studies (CONF-BPS 2022), which are carefully selected and reviewed by professional reviewers from corresponding research fields and the editorial team of the conference. This volume presents latest research achievements, inspirations, and applications in applied economy, finance, enterprise management, public administration, and policy studies. CONF-BPS hopes this volume could be inspiring and of academic value. Business and policy studies both are heated research topics and are related to multiple fields. Held by Eliwise Academy, CONF-BPS aims at bringing together intellectuals from related fields including applied economy, finance, and public administration for academic exchange. Its goal is to serve as an international platform for researchers to present latest research progress, share ideas and inspirations, and exchange experience. Through more academic communication and exchange, this conference hops to promote international corporation and joint initiatives in relevant fields. This volume will be of interest to researchers, academics, professionals, and policy makers in the field of business, economics, management, and policy studies.
    DOI: 10.1007/978-981-19-5727-7
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    Green Digital Finance and Sustainable Development Goals (2022)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811926624
    Language: English
    Pages: 1 Online-Ressource (XVI, 366 p. 45 illus., 40 illus. in color.)
    Series Statement: Economics, Law, and Institutions in Asia Pacific
    Series Statement: Springer eBook Collection
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Development economics. ; Business enterprises—Finance. ; Sustainability. ; Green Digital Finance ; Green Finance ; FinTech ; Distributed Ledger Technologies ; Blockchain ; SDG7 ; SDG13 ; Konferenzschrift
    Abstract: Regulatory and Legal Framework for Promoting Green Digital Finance -- Current State of Green Digital Financing and the Associated Challenges -- Assessing the Risks Associated with Green Digital Finance and Policies for Coping with Them -- Role of Governments in Enhancing Green Digital Finance for Meeting the SDGs -- Identification of Critical Success Factors for Developing the Green Digital Financing Market in Iran.
    Abstract: This book aims to fill the literature gap on digital instruments and FinTech in enhancing green finance. Technological innovation can increase transparency, accountability, and speed, decentralize the financial system, improve risk management, increase competition, lower costs, improve efficiency, increase cross-sectoral collaboration and integration, and scale up green finance. Artificial intelligence (AI), distributed ledger technologies (DLT) or blockchain, peer-to-peer lending platforms, big data, Internet-based and mobile-based payment platforms, Internet of Things (IoT), matchmaking platforms including crowdlending, tokenizing green assets are potential means to scale up the green finance for achieving the SDGs. The COVID-19 pandemic, the economic downturns, and the uncertainties shrank the new investments in renewable energy projects globally. Low investment in renewable energy projects could threaten the expansion of green energy needed to provide energy security and meet SDG7 and SDG13. Investments in renewable energy projects are scarce because of several risks and a low rate of return. Although several new green financing solutions such as green bonds, green banks, green credit guarantee, carbon taxation, carbon trade, village funds, and community trust funds have been established in different countries, these are insufficient, and alternative ways to finance projects are required. The book provides several high-quality studies on utilizing digitalization, FinTech, financial innovations, and other new technologies to fill the finance gap of green projects to meet the SDG goals. The chapters are written by scholars in diverse countries and regions and include practical policy recommendations.
    Note: "We also thank Professor Naoyuki Yoshino and all the participants of the workshop titled Green Digital Finance for Achieving Sustainable Development Goals hosted by Tokai University and Yonsei University (June 30–31, 2021) for their comments on the presented papers." - Seite v
    DOI: 10.1007/978-981-19-2662-4
    URL: lizenzpflichtig
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    Handbook of Machine Learning Applications for Genomics (2022)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811691584
    Language: English
    Pages: 1 Online-Ressource(X, 218 p. 75 illus., 60 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Studies in Big Data 103
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Genetics. ; Quantitative research.
    Abstract: Local and global characterization of genomic data -- DNA sequencing using RNN -- Deep learning to study functional activities of DNA sequence -- Autoencoders for gene clastering -- Dimension reduction in gene expression using deep learning -- To predict DNA methylation states using deep learning -- Transfer learning in genomics -- CNN model to analyze gene expression images -- Gene expression Prediction using advanced machine learning -- Predicting splicing regulation using deep learning -- Transcription factor binding site prediction using deep learning -- Deep learning for prediction of structural classification of proteins -- Prediction of secondary strucure of RNA using advanced machine learning and deep learning -- Deep learning for pepositioning of drug and pharmacogenomics.
    Abstract: Currently, machine learning is playing a pivotal role in the progress of genomics. The applications of machine learning are helping all to understand the emerging trends and the future scope of genomics. This book provides comprehensive coverage of machine learning applications such as DNN, CNN, and RNN, for predicting the sequence of DNA and RNA binding proteins, expression of the gene, and splicing control. In addition, the book addresses the effect of multiomics data analysis of cancers using tensor decomposition, machine learning techniques for protein engineering, CNN applications on genomics, challenges of long noncoding RNAs in human disease diagnosis, and how machine learning can be used as a tool to shape the future of medicine. More importantly, it gives a comparative analysis and validates the outcomes of machine learning methods on genomic data to the functional laboratory tests or by formal clinical assessment. The topics of this book will cater interest to academicians, practitioners working in the field of functional genomics, and machine learning. Also, this book shall guide comprehensively the graduate, postgraduates, and Ph.D. scholars working in these fields.
    DOI: 10.1007/978-981-16-9158-4
    URL: lizenzpflichtig
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