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  • MPI Ethno. Forsch.  (15)
  • English  (15)
  • Dutch
  • Khanna, Ashish
  • Singapore : Imprint: Springer  (9)
  • Cham : Springer International Publishing  (3)
  • Washington, D.C : The World Bank  (3)
Datasource
  • MPI Ethno. Forsch.  (15)
  • BSZ  (12)
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Language
  • English  (15)
  • Dutch
Years
Author, Corporation
Publisher
Keywords
  • 1
    Online Resource
    Online Resource
    Proceedings of Data Analytics and Management : ICDAM 2022 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811976155
    Language: English
    Pages: 1 Online-Ressource(XXXIV, 897 p. 482 illus., 358 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 572
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Telecommunication. ; Data protection.
    Abstract: Penetration Testing in Application using TestNG Tool -- Empirical Analysis of Psychological Well-Being of Students during the Pandemic with Rebooted Remote Learning Mode -- Handwritten Digit Recognition Using Machine Learning -- A Smart Movie Recommendation System Using Machine Learning Predictive Analysis.
    Abstract: This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2022), held at tThe Karkonosze University of Applied Sciences, Poland, during June 2022. 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.
    DOI: 10.1007/978-981-19-7615-5
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  • 2
    Online Resource
    Online Resource
    Proceedings of Third Doctoral Symposium on Computational Intelligence : DoSCI 2022 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811931482
    Language: English
    Pages: 1 Online-Ressource(XXXIV, 861 p. 430 illus., 328 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 479
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Artificial intelligence—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Artificial intelligence
    Abstract: TransCRF - Hybrid Approach for Adverse Event Extraction -- Process of Recognition of Plant Diseases by Using Hue Histogram, K-Means Clustering and Forward-Propagation Deep Neural Networks -- Analysis of Variants of BERT and Big Bird on Question Answering Datasets in the Context of Scientific Research Article Reviews -- Twitter Opinion Mining on COVID-19 Vaccinations by Machine Learning Presence -- Blockchain-Based Efficient and Secured Framework for Logistics Management -- Blockchain-Based Framework to Handle Security & Privacy for IoT System -- Knowledge Management using Blockchain Technology for Digital Resources -- Blockchain Mechanism for Resolving Privacy Issues in a Smart City -- Design and Analysis of 50 Channel by 40 Gbps DWDM RoF System for 5G Communication Based on Fronthsul Scenario -- A Semantic Approach to Data Integration from Clinical Polystore -- Service Matter Judgement Prediction using Machine Learning -- Predicting Smart Building Occupancy using Machine Learning -- Formal Specification of Dynamic Load Based Coordinator Selection Algorithm with Recovery in Distributed Systems.
    Abstract: This book features high-quality research papers presented at Third Doctoral Symposium on Computational Intelligence (DoSCI 2022), organized by Institute of Engineering and Technology (IET), AKTU, Lucknow, India, on March 5, 2022. This book discusses the topics such as computational intelligence, artificial intelligence, deep learning, evolutionary algorithms, swarm intelligence, fuzzy sets and vague sets, rough set theoretic approaches, quantum inspired computational intelligence, hybrid computational intelligence, machine learning, computer vision, soft computing, distributed computing, parallel and grid computing, cloud computing, high performance computing, biomedical computing, and decision support and decision making.
    DOI: 10.1007/978-981-19-3148-2
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  • 3
    Online Resource
    Online Resource
    Proceedings of Second Doctoral Symposium on Computational Intelligence : DoSCI 2021 (2022)
    Singapore : Springer Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811633461
    Language: English
    Pages: 1 Online-Ressource(XX, 923 p. 413 illus., 287 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Advances in Intelligent Systems and Computing 1374
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Computer software. ; Data structures (Computer science).
    Abstract: Investigation of Consumer Perception towards Digital Means of Food Ordering Services -- A systematic review of blockchain technology to find current scalability issues and solutions -- Secured Blind Image Watermarking using Entropy Technique in DCT Domain -- Prediction of Heart Disease using Genetic Algorithm -- Secured information infrastructure for exchanging information for digital governance -- Spiral CAPTCHA with Adversarial Perturbation and its Security Analysis with Convolutional Neural Network -- Predicting classifiers efficacy in relation with data complexity metric using under-sampling techniques -- Energy Efficient Data Transmission in Wireless Body Area Network (WBAN) -- A Survey: Approaches to Facial Detection and Recognition with Machine Learning Techniques -- An Energy and Space Efficient Trust based Secure Routing for OppIoT -- A Survey on Anomaly Detection Techniques in IoT -- Novel IoT End Device Architecture for Enhanced CIA: A Lightweight Security Approach.
    Abstract: This book features high-quality research papers presented at Second Doctoral Symposium on Computational Intelligence (DoSCI-2021), organized by Institute of Engineering and Technology (IET), AKTU, Lucknow, India, on 6 March 2021. This book discusses the topics such as computational intelligence, artificial intelligence, deep learning, evolutionary algorithms, swarm intelligence, fuzzy sets and vague sets, rough set theoretic approaches, quantum-inspired computational intelligence, hybrid computational intelligence, machine learning, computer vision, soft computing, distributed computing, parallel and grid computing, cloud computing, high-performance computing, biomedical computing, decision support and decision making.
    DOI: 10.1007/978-981-16-3346-1
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  • 4
    Online Resource
    Online Resource
    Soft Computing for Data Analytics, Classification Model, and Control (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783030920265
    Language: English
    Pages: 1 Online-Ressource(VIII, 165 p. 83 illus., 61 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Studies in Fuzziness and Soft Computing 413
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence—Data processing. ; Bioinformatics. ; Control engineering.
    Abstract: Chapter 1: An Optimization of Fuzzy Rough Set Nearest Neighbor Classification Model using Krill Herd Algorithm for Sentiment Text Analytics -- Chapter 2: Fuzzy Wavelet Neural Network with Social Spider Optimization Algorithm for Pattern Recognition in Medical Domain -- Chapter 3: Fuzzy with Gravitational Search Algorithm Tuned Radial Basis Function Network for Medical Disease Diagnosis and Classification Model -- Chapter 4: Optimal Neutrosophic Rules based Feature Extraction for Data Classification using Deep Learning Model -- Chapter 5: Self-Evolving Interval Type-2 Fuzzy Neural Network Design for The Synchronization of Chaotic Systems -- Chapter 6: Categorizing Relations via Semi-Supervised Learning using a Hybrid Tolerance Rough Sets and Genetic Algorithm Approach -- Chapter 7: Data-driven Fuzzy C-Means Equivalent Turbine-governor for Power System Frequency Response -- Chapter 8: Multicriteria group decision making using a novel similarity measure for triangular fuzzy numbers based on their newly defined expected values and variances -- Chapter 9: Bangla Printed Character Generation from Handwritten Character Using GAN.
    Abstract: This book presents a set of soft computing approaches and their application in data analytics, classification model, and control. The basics of fuzzy logic implementation for advanced hybrid fuzzy driven optimization methods has been covered in the book. The various soft computing techniques, including Fuzzy Logic, Rough Sets, Neutrosophic Sets, Type-2 Fuzzy logic, Neural Networks, Generative Adversarial Networks, and Evolutionary Computation have been discussed and they are used on variety of applications including data analytics, classification model, and control. The book is divided into two thematic parts. The first thematic section covers the various soft computing approaches for text classification and data analysis, while the second section focuses on the fuzzy driven optimization methods for the control systems. The chapters has been written and edited by active researchers, which cover hypotheses and practical considerations; provide insights into the design of hybrid algorithms for applications in data analytics, classification model, and engineering control.
    DOI: 10.1007/978-3-030-92026-5
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  • 5
    Online Resource
    Online Resource
    Proceedings of Data Analytics and Management : ICDAM 2021, Volume 1 (2022)
    Singapore : Springer Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811662898
    Language: English
    Pages: 1 Online-Ressource(XXIV, 825 p. 346 illus., 247 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 90
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Computer communication systems. ; Statistics . ; Computer security.
    Abstract: Psychological stress and mental health among seafarers -- Real Time Face-Mask Detection and Analysis System -- Gait Recognition Biometric System -- Fighting Media Hyper-partisanship with Modern Language Representation Models -- ANN Based Handwritten Digit Recognition and Equation Solver -- Hyperspectral Imaging in Document Forgery -- Optimized Usability Features of Academic Websites using Chicken Swarm and Cat Swarm Optimization Algorithm -- Study and Development of Self Sanitizing Smart Elevator -- Predict COVID-19 with Chest X-ray -- Image Segmentation Techniques: A Survey -- Quantum Inspired Support Vector Machines for Human Activity Recognition in Industry 4.0 -- Hybrid System based on Genetic Algorithm and Neuro-Fuzzy Approach for Neurodegenerative Disease Forecasting -- Decentralized Library Management system using Blockchain technology -- Content based Image Retrieval using Deep Learning -- A Deep Learning-Based Feature Extraction Model for Classification Brain Tumor -- Image Classification in Python using Keras -- Predictive Analytics on E-commerce Annual Sales -- A Survey on Deep Learning Methods in Image Analytics -- Journey of Letters to Vectors through Neural Networks -- Accident Risk Prediction and Location Tracking of a Vehicle using Real-Time Data Acquisition from Vehicle Sensors -- Data Augmentation and Fine Tuning the radiography images to detect COVID-19 patients with pre-trained network of Transfer Learning -- Index Optimization using Wavelet Tree and Compression.
    Abstract: This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2021), held at Jan Wyzykowski University, Poland, during June 2021. 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.
    DOI: 10.1007/978-981-16-6289-8
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  • 6
    Online Resource
    Online Resource
    International Conference on Innovative Computing and Communications : Proceedings of ICICC 2021, Volume 2 (2022)
    Singapore : Springer Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811625978
    Language: English
    Pages: 1 Online-Ressource(XXI, 830 p. 364 illus., 282 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Advances in Intelligent Systems and Computing 1388
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Electrical engineering.
    Abstract: Automatic Removal of Eye Blink Artefacts from EEG Data using Spatio-Temporal Features -- Autoencoder Based Model for Detecting Accounting Statement Fraud -- Increase In Mental Health Cases Post Covid Outbreak -- A Data Mining Approach to Anticipate Fear of Human's Mind During COVID-19 Outbreaks -- Evolutionary Algorithms for Face Recognition with Mask -- Stock Price Prediction using Reinforcement Learning -- Forecasting of PM10 using Intelligent Crow Search Algorithm tuned Feed Forward Neural Network -- A Hybrid Fusion Based Algorithm for Underwater Image Enhancement using Fog Aware Density Evaluator and Mean Saturation -- Computer Vision with Deep Learning Techniques for Neurodegenerative Diseases Analysis using Neuroimaging: A Survey -- Implementation of A Smart Helmet with Alcohol and Fall Detection and Navigation System.
    Abstract: This book includes high-quality research papers presented at the Fourth International Conference on Innovative Computing and Communication (ICICC 2021), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on February 20–21, 2021. Introducing the innovative works of scientists, professors, research scholars, students and industrial experts in the field of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications.
    DOI: 10.1007/978-981-16-2597-8
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  • 7
    Online Resource
    Online Resource
    Proceedings of Data Analytics and Management : ICDAM 2021, Volume 2 (2022)
    Singapore : Springer Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811662850
    Language: English
    Pages: 1 Online-Ressource(XXIV, 859 p. 430 illus., 329 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 91
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Computer communication systems. ; Statistics . ; Computer security.
    Abstract: CNN Based Feature Extraction for Visual Speech Recognition in Malayalam -- Effective Rate of Minority Class Over-Sampling for Maximizing the Imbalanced Dataset -- Spectral Efficiency Analysis of Massive MIMO -- Dental Cavity Detection using YOLO -- Development of Data Set for Automatic News Telecast System for Deaf Using ISL Videos -- A Comprehensive Survey on Content Based Image Retrieval using Machine Learning -- Machine Learning Techniques for Keystroke Dynamics -- Artificial Neural Network Approach for Multimodal Biometric Authentication System -- Malware Classification and Defence Against Adversarial Attacks -- Test Suite minimization based upon CMIMX and ABC -- Comparative Analysis on Machine Learning Methodologies for the Effective Usage of Medical WSNs -- Convolutional Neural Networks for Malaria Image Classification -- Plant Leaf Disease Identification and Prescription Suggestion Using Deep Learning -- Efficient Spectrum Allocation in Wireless Networks Using Channel Aggregation Fragmentation with Reservation Channels -- Toxic Comment Classification using Bi-Directional GRUs & CNN -- Climate Dependent Crop Management through Data Modeling -- Translate2Classify: Machine Translation for E-Commerce Product Categorization in comparison to Machine Learning & Deep Learning Classification -- Multimodal Biometric Authentication by Slap Swarm based Score Level Fusion -- Hybrid Metaheuristic Algorithm based Clustering with Multi-hop Routing Protocol for Wireless Sensor Networks.
    Abstract: This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2021), held at Jan Wyzykowski University, Poland, during June 2021. 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.
    DOI: 10.1007/978-981-16-6285-0
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  • 8
    Online Resource
    Online Resource
    International Conference on Innovative Computing and Communications : Proceedings of ICICC 2021, Volume 3 (2022)
    Singapore : Springer Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811630712
    Language: English
    Pages: 1 Online-Ressource(XXXII, 893 p. 389 illus., 285 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Advances in Intelligent Systems and Computing 1394
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Electrical engineering.
    Abstract: Chapter 1. Explanation Based Serendipitous Recommender System (EBSRS) -- Chapter 2. Introduction of feature selection and leading-edge technologies viz. TENSORFLOW, PYTORCH and KERAS: An empirical study to improve prediction accuracy of cardiovascular disease -- Chapter 3. Campus Placement Prediction System using Deep Neural Networks -- Chapter 4. Intensity of Traffic Due to Road Accidents in USA: A Predictive Model -- Chapter 5. Credit Card Fraud Detection using Blockchain and Simulated Annealing k-means Algorithm -- Chapter 6. Improving Accuracy of Deep Learning Based Compression Techniques by Introducing Perceptual Loss in Industrial IoT -- Chapter 7. Characterization and Prediction of Various Issue Types: A Case Study on the Apache Lucene System -- Chapter 8. Heart Disease prediction using Machine Learning Techniques: A Quantitative Review -- Chapter 9. Enhancing CNN with Pre-processing Stage in Illumination Invariant Automatic Expression Recognition -- Chapter 10. An Expert Eye for Identifying Shoplifters in Mega Stores -- Chapter 11. Sanskrit Stemmer Design : A Literature Perspective -- Chapter 12. Predicting Prior Academic Failure of Students’ using Machine Learning Approach -- Chapter 13. Deep Classifier for News Text Classification using Topic Modelling Approach -- Chapter 14. Forecasting covid-19 cases using Deep CNN LSTM model -- Chapter 15. Multi-resolution video steganography technique based on Stationary wavelet transform (SWT) and Singular value decomposition (SVD) -- Chapter 16. A novel Dual Threshold Weighted Feature Detection for Spectrum Sensing in 5G systems -- Chapter 17. A Systematic Review On Various Attack Detection Methods For Wireless Sensor Networks -- Chapter 18. Electronic Beam Steering in Timed Antenna Array by Controlling the Harmonic Patterns with Optimally Derived Pulse-Shifted Switching Sequence -- Chapter 19. Classification of attacks on MQTT based IoT system using Machine learning techniques -- Chapter 20. Encrypted Traffic Classification using eXtreme Gradient Boosting algorithm -- Chapter 21. Analyzing Natural Language Essay Generator Models using Long Short Term Memory Neural Networks -- Chapter 22. Performance Evaluation of GINI Index and Information Gain Criteria on Geographical Data: An Empirical Study Based on JAVA and Python.
    Abstract: This book includes high-quality research papers presented at the Fourth International Conference on Innovative Computing and Communication (ICICC 2021), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on February 20–21, 2021. Introducing the innovative works of scientists, professors, research scholars, students and industrial experts in the field of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications.
    DOI: 10.1007/978-981-16-3071-2
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  • 9
    Online Resource
    Online Resource
    International Conference on Innovative Computing and Communications : Proceedings of ICICC 2021, Volume 1 (2022)
    Singapore : Springer Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811625947
    Language: English
    Pages: 1 Online-Ressource(XXI, 887 p. 449 illus., 322 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Advances in Intelligent Systems and Computing 1387
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Electrical engineering.
    Abstract: Building Virtual High-Performance Computing Clusters with Docker: An Application Study at the University of Economics Ho Chi Minh City -- Implementing Multilevel Graphical Password Authentication Scheme in Combination with One Time Password -- Application of Noise Reduction Techniques to Improve Speaker Verification to Multi-Speaker Text-to-Speech Input -- Utilization of Machine Learning Algorithms for Thyroid Disease Prediction -- Detection of Hepatitis C Virus Progressed Patient’s Liver Condition Using Machine Learning -- Energy Performance Prediction of Residential Buildings Using Non-Linear Machine Learning Technique -- Prioritizing Python Code Smells for Efficient Refactoring Using Multi-Criteria Decision-Making Approach.
    Abstract: This book includes high-quality research papers presented at the Fourth International Conference on Innovative Computing and Communication (ICICC 2021), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on February 20–21, 2021. Introducing the innovative works of scientists, professors, research scholars, students and industrial experts in the field of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications. .
    DOI: 10.1007/978-981-16-2594-7
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  • 10
    Online Resource
    Online Resource
    A Fusion of Artificial Intelligence and Internet of Things for Emerging Cyber Systems (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783030766535
    Language: English
    Pages: 1 Online-Ressource(XVI, 461 p. 219 illus., 143 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Intelligent Systems Reference Library 210
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Computer engineering. ; Internet of things. ; Embedded computer systems. ; Engineering—Data processing. ; Artificial intelligence.
    Abstract: IoT for better Mobile Health Applications -- Energy Efficient hybrid IoT System for ambient Living: Smart Geyser -- Analysis of Agriculture Production and Impacts of Climate Change in South Asian Region: A Concern related with Healthcare 4.0 Using ML and Sensors -- Block Chain Application in Automobile Registration: A novel Approach for Sustainable Smart Cities with Industry 4.0 -- Nonparametric Test for Change-Point Detection of IoT Time-Series Data. .
    Abstract: This book aims at offering a unique collection of ideas and experiences mainly focusing on the main streams and merger of Artificial Intelligence (AI) and the Internet of Things (IoT) for a wide slice of the communication and networking community. In the era when the world is grappling with many unforeseen challenges, scientists and researchers are envisioning smart cyber systems that guarantee sustainable development for a better human life. The main contributors that destined to play a huge role in developing such systems, among others, are AI and IoT. While AI provides intelligence to machines and data by identifying patterns, developing predictions, and detecting anomalies, IoT performs as a nerve system by connecting a huge number of machines and capturing an enormous amount of data. AI-enabled IoT, therefore, redefines the way industries, businesses, and economies function with increased automation and efficiency and reduced human interaction and costs. This book is an attempt to publish innovative ideas, emerging trends, implementation experience, and use-cases pertaining to the merger of AI and IoT. The primary market of this book is centered around students, researchers, academicians, industrialists, entrepreneurs, and professionals working in electrical/computer engineering, IT, telecom/electronic engineering, and related fields. The secondary market of this book is related to individuals working in the fields such as finance, management, mathematics, physics, environment, mechatronics, and the automation industry.
    DOI: 10.1007/978-3-030-76653-5
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  • 11
    Online Resource
    Online Resource
    Virtual and Augmented Reality for Automobile Industry: Innovation Vision and Applications (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783030941024
    Language: English
    Pages: 1 Online-Ressource(XIV, 174 p. 58 illus., 49 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Studies in Systems, Decision and Control 412
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Automotive engineering. ; Artificial intelligence.
    Abstract: Automotive Collision Avoidance System: A Review -- Autonomous vehicle assisted by heads up display (HUD) with augmented reality based on Machine learning techniques -- Optimal Stacked Sparse Autoencoder based Traffic Flow Prediction in Intelligent Transportation Systems -- Hand Gesture Recognition for Real-Time Game Play using Background Elimination and Deep Convolution Neural Network.
    Abstract: This book presents the augmented reality (AR) and virtual reality (VR) automotive applications. It unites automobile with a leading technology i.e. augmented and virtual reality and uses the advantages of the latter to solve the problems faced by the former. The book highlights the reasons for the growing abundance and complexity in this sector. Virtual and augmented reality presents a powerful engineering tool that finds application in various engineering fields. It brings new possibilities that result is increasing of productivity and reliability of production, quality of products and processes. The book further illustrates the possible challenges in its applications and suggests ways to overcome them. The book includes nine chapters focusing on automobile collision avoidance, self-driving cars, autonomous vehicles, navigation systems, and many more applications. .
    DOI: 10.1007/978-3-030-94102-4
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  • 12
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    Online Resource
    Biomedical Data Analysis and Processing Using Explainable (XAI) and Responsive Artificial Intelligence (RAI) (2022)
    Singapore : Springer Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811914768
    Language: English
    Pages: 1 Online-Ressource(XV, 137 p. 73 illus., 63 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Intelligent Systems Reference Library 222
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Image processing—Digital techniques. ; Computer vision. ; Biomedical engineering.
    Abstract: Optimal Boosting Label Weighting Extreme Learning Machine for Mental Disorder Prediction and Classification -- Modeling of Explainable Artificial Intelligence with Correlation based Feature Selection Approach for Biomedical Data Analysis -- Explainable machine learning model for diagnosis of Parkinson disorder -- Explainable Artificial Intelligence with Metaheuristic Feature Selection Technique for Biomedical Data Classification -- Explainable AI in Neural Networks using Shapley Values -- Design of Multimodal Fusion based Deep Learning Approach for COVID-19 Diagnosis using Chest X-Ray Images.
    Abstract: The book discusses Explainable (XAI) and Responsive Artificial Intelligence (RAI) for biomedical and healthcare applications. It will discuss the advantages in dealing with big and complex data by using explainable AI concepts in the field of biomedical sciences. The book explains both positive as well as negative findings obtained by explainable AI techniques. It features real time experiences by physicians and medical staff for applied deep learning based solutions. The book will be extremely useful for researchers and practitioners in advancing their studies.
    DOI: 10.1007/978-981-19-1476-8
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  • 13
    Online Resource
    Online Resource
    Scaling Up Distributed Solar in Emerging Markets : The Case of the Arab Republic of Egypt (2017)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource (34 p)
    Series Statement: World Bank E-Library Archive
    Parallel Title: Erscheint auch als Sakr, Dalia Scaling Up Distributed Solar in Emerging Markets: The Case of the Arab Republic of Egypt
    Abstract: Like many emerging markets, the Arab Republic of Egypt is keen to promote distributed solar, defined here as systems below 500 kilowatts, but has struggled to create conditions for growth in the sector. The aim of this paper is to identify policy actions to unlock the distributed solar market for on-grid and off-grid applications, using Egypt as a case study. The paper calculates the rate of return on investment for different distributed solar applications, identifies nonfinancial barriers to scaling up distributed solar, and derives policy implications. For on-grid applications, the analysis finds that neither net metering nor the feed-in tariff makes distributed solar financially attractive, despite recent reductions in electricity subsidies and adjustments of feed-in tariff levels in October 2016. For off-grid applications, the profitability of distributed solar depends highly on the local price of diesel: distributed solar is viable only in areas where diesel is not available at the official (subsidized) price. In addition, several nonfinancial barriers limit the scalability of the distributed solar market. These findings indicate that the distributed solar market in Egypt will remain a niche market in the next few years without strengthened government support. First, for on-grid applications, the net metering scheme should be kept in place until a bankable feed-in tariff has been established. Second, for off-grid applications, the government should explore interventions to unlock opportunities in the agriculture and tourism sectors. Third, the government should strengthen private-sector activity in the sector, including by addressing nonfinancial barriers, such as transaction costs and gaps in the availability of data, and by building capacity among users, suppliers, and financial institutions
    DOI: 10.1596/1813-9450-8103
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 14
    Online Resource
    Online Resource
    Transforming Electricity Governance in India : Has India's Power Sector Regulation Enabled Consumers' Power? (2015)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource (38 p)
    Series Statement: World Bank E-Library Archive
    Parallel Title: Erscheint auch als Khanna, Ashish Transforming Electricity Governance in India: Has India's Power Sector Regulation Enabled Consumers' Power?
    Abstract: Private Sector Development
    DOI: 10.1596/1813-9450-7275
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 15
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    Online Resource
    Performance of Renewable Energy Auctions : Experience in Brazil, China and India (2014)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: Online-Ressource (39 p)
    Edition: 2014 World Bank eLibrary
    Parallel Title: Azuela, Gabriela Elizondo Performance of Renewable Energy Auctions
    Abstract: This paper considers the design and performance of auction mechanisms used to deploy renewable energy in three emerging economies: Brazil, China, and India. The analysis focuses on the countries' experience in various dimensions, including price reductions, bidding dynamics, coordination with transmission planning, risk allocation strategies, and the issue of domestic content. Several countries have turned to public competitive bidding as a mechanism for developing the renewable generation sector in recent years, with the number of countries implementing some sort of auction procedure rising from nine in 2009 to 36 by the end of 2011 and about 43 in 2013. In general, the use of auctions makes sense when the contracting authority expects a large volume of potentially suitable bids, so that the gains from competition can offset the costs of implementation. A study of the successes and failures of the particular auction design schemes described in this paper can be instrumental in informing future policy making
    URL: Volltext  (Deutschlandweit zugänglich)
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