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  • BSZ  (12)
  • Frobenius-Institut
  • Online Resource  (12)
  • Saraswat, Mukesh  (12)
  • Singapore : Imprint: Springer  (12)
  • 1
    Online Resource
    Online Resource
    Data Science and Applications : Proceedings of ICDSA 2023, Volume 1 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819978625
    Language: English
    Pages: 1 Online-Ressource(XX, 571 p. 205 illus., 169 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 818
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Data mining. ; Internet of things.
    Abstract: Climate Change Parameter Dataset (CCPD): A Benchmark Dataset for Climate Change parameters in Jammu and Kashmir -- Brain Tumor Classification Using Deep Learning Techniques -- Machine learning Based Hardware Trojans Detection in Integrated Circuits: A Systematic Review -- Impact of Techno Stress on Employee Retention and Employee Turnover -- Single image dehazing using DCP with varying scattering constant -- Detecting IoT malware using federated learning -- A Deep learning approach for BGP security Improvement -- Wireless Sensor Network Protocols in Underwater Communication -- A Genetic Algorithm Approach for Portfolio Optimization -- Security Issues and Solutions in Post Quantum Authenticated Key Exchange for Mobile Devices -- Towards Decentralized Fog Computing: A comprehensive review of Models, Architectures, and Services -- Analysis of various MAC protocol 802.11 AX -- Monkeypox Disease Classification Using HOG-SVM Method -- A Deep Learning Model for Automatic Recognition of Facial Expressions using Haar Cascade Images -- Sensing Performance Analysis using Choatic Signal based SCMA Codebook For Secure Cognitive Communication System in 5G -- Identification of severity level for diabetic retinopathy detection using neural networks -- Metaheuristic optimized BiLSTM univariate time-series forecasting of gold prices -- Improvised Neural Machine Translation Model for Hinglish to English -- Recording of Class Attendance using DL Based Face Recognition Method -- Machine Learning Enabled Hairstyle Recommender System using Multilayer Perceptron -- Automated Health Insurance Management Framework with Intelligent Fraud Detection, Premium Prediction and Risk Prediction -- Responsible Artificial Intelligence for Music Recommendation -- A robot mapping technique for indoor environments -- A Novel Approach to Docking System for Autonomous Unmanned Aerial Vehicles -- Predicting Brain Tumor Survival using MRI Images and Machine Learning Techniques -- Intelligent Approaches of Clinical and Nonclinical Type-1 Diabetes Data Analysis -- A Learning-Based Approach For Wafer Defect Detection In Production Quality Control -- Setting Importance of Features through Means and Majority of Outcomes of Machine Learning Algorithms: An Empirical Analysis -- A Study of Simulated Working of A* and RRT* for Cargo Ship in ASVs -- ESFMS: Design of an Ensemble Sentiment analysis model for Feedback evaluation via Multimodal feature Selection process -- Towards Transfer Learning based Human Anomaly Detection in Videos -- Speech Signal Analysis Using Hybrid Feature Extraction Technique for Parkinson’s Disease Prediction -- Dataset Construction and Evaluation for Aspect-Opinion Extraction in Bangla Fine-grained Sentiment Analysis -- Improving Speaker Gender Detection by Combining Pitch and SDC -- Sentiment Analysis of Covid-19 Lockdown in India -- Applications of Smart Agriculture and an Automated Irrigation System Based on the Internet of Things -- Sensitivity of stock pricing to the optimistic and pessimistic sentiment of social media: A shreds of evidence from Nifty Indices -- Revolutionizing Cardiac Care: A Comprehensive Review of ECG-based Arrhythmia Prediction Techniques -- Yoga Posture Estimation and Correction using Mediapipe & Deep Learning Models -- Random Modulus Decomposition for Color Images Optical Asymmetric Cryptosystem Using Gyrator Domain -- A Single Line 8T SRAM Bit Cell with Robust Read, Hold Stability and Low Power -- Improving Chronic Kidney Disease Prediction using ANN with Normalization.
    Abstract: This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2023), organized by Soft Computing Research Society (SCRS) and Malaviya National Institute of Technology Jaipur, India, from 14 to 15 July 2023. The book is divided into four volumes, and it covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.
    DOI: 10.1007/978-981-99-7862-5
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    BSZ
    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    Data Science and Applications : Proceedings of ICDSA 2023, Volume 4 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819978144
    Language: English
    Pages: 1 Online-Ressource(XX, 545 p. 244 illus., 201 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 821
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Data mining. ; Internet of things.
    Abstract: Crop Classification Using Deep Learning on Time Series SAR Images: A Survey -- Improvement of the Teaching-Learning Process using Feature-Driven Opinion Mining of Stakeholders Comments -- Safeguarding Privacy and Security in the Internet of Vehicles: Current and Emerging Strategies -- Two Factor Authentication for Internet of Drones using PUF and Blockchain -- REXOBOT- Simplifying Rescue Operations using Arduino -- Design and analysis of a dual-band wearable antenna integrated with an AMC reflector for biomedical applications -- An optimized approach for Sarcasm Detection using Machine learning Classifier -- Medical Image segmentation Using Deep Learning Method -- Implementation of Solar Array Integration with PID & MPPT(P&O) Incorporating Input Variations -- Cemetery Allocation Management System Using Ethereum Blockchain -- An Efficient Predictive Resource Analysis using Deep Dyna Q-based VARMA LSTM Model for Fluctuating Cloud Workloads -- SIW based H-plane dual horn radiator for next generation wireless communication -- RNN based model predictive control of multi agent system using switching topologies -- LDCCAES: A Concomitant Perception Methodology Facilitating Real-Time Detection and Estimation of Medifan-Lane Positioning for Prototype Autonomous Vehicle -- Enhancing Federated Learning Performance for IoT Anomaly Detection under Label-Skewed Data -- Panel Data Analysis to Investigate Factors Influencing Profitability: Empirical Study on Indian Oil and Gas Companies -- Predictive Modeling for Marketing Strategies: A Case Study of a Superstore’s Gold Membership Offer using Advanced Analytics and Machine Learning Techniques -- Design and Development of energy harvesting system for wireless local area Network -- Hybrid Principal Component Analysis Using Boosting Classification Techniques: Categorical Boosting -- Moth swarm algorithm with centre-based sampling technique for the optimal operation of a hybrid power system incorporating static synchronous compensator -- Land use and land Change detection of the eco system by processing Sentinel images -- An Enhanced Laryngeal Tissue Classification Model Using Deep Learning Techniques -- Machine Learning-based Detection of API Security Attacks -- A Comparative Study on End-to-End Learning for Self-Driving Cars -- Climatological Rainfall Forecasting using LSTM: An Analysis of Sequential Input and Data Window Input Approaches -- Enhancing Anonymity of Internet of Vehicle Identities in Connected Vehicle Security Services Using Batch Verification Algorithm -- A Deep Learning based Framework for Android Malware Family Classification -- iCardo 3.0: A Machine Learning Framework for Prediction of Conduction Disturbance in Heart -- ANDROID-BASED MALARIA DETECTION USING DEEP LEARNING -- Recuperating Image Captioning with Genetic Algorithm and Red Deer Optimization: A Comparative Study -- A Radial Basis Function Neural Network trained with Aquila Optimizer for Solving Inverse Modeling Problems -- Future Generation Elastic Optical Networks: A State-of-Art Review -- Empirical analysis on fake news detection using feature extraction & feature optimization techniques -- Enhancing the Performance of Heart Disease Prediction Models with Ensemble Learning -- Towards a Person-Job-Fit Recruitment: Job Prediction with Deep Neural Networks based on Various Pre-trained Models -- Hyperparameter Optimization of Machine Learning Models using grid search for Amazon Review Sentiment Analysis -- Towards the testbed and dataset for analysis of water treatment systems security -- Accurate Prediction of Stage of Hepatitis C Virus through a Stacking Ensemble -- Alzheimer Brain Imaging Dataset Augmentation using Wasserstein Generative Adversarial Network -- FireNet-Tiny: Very-Low Parameter Count High Performance Fire Detection Model -- 2D Medical Image Segmentation.
    Abstract: This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2023), organized by Soft Computing Research Society (SCRS) and Malaviya National Institute of Technology Jaipur, India, from 14 to 15 July 2023. The book is divided into four volumes, and it covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.
    DOI: 10.1007/978-981-99-7814-4
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    BSZ
    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    Data Science and Applications : Proceedings of ICDSA 2023, Volume 2 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819978205
    Language: English
    Pages: 1 Online-Ressource(XX, 535 p. 231 illus., 183 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 819
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Data mining. ; Internet of things.
    Abstract: Comparative Analysis of various SRAM bit cells for 32nm technology node -- Uncovering the Threat: Exploring Covert Channel Attacks via Audio Files in Android Applications -- Emotion Recognition through Facial Expressions from Images using Deep Learning Techniques -- Optimization of Process Parameters In The Abrasive Waterjet Machining Using Bees Algorithm -- Advancement on Steganography: A Review -- Ethereum Blockchain For Private Equity Crowdfunding : Enabling Seamless USDC and Share Token Transactions -- Graph Convolutional Neural Network for IC50 Prediction Model using Amyotrophic Lateral Sclerosis Targets -- Cardiovascular Disease Prediction using Deep Learning Models -- Classification of Skin Cancer Using Integrated Methodology -- Identification of Mycobacterium Tuberculosis Employing VGG-16 Feature Extraction and Classification Using Prominent Machine Learning Classifiers on X-rays -- Cyber - Crime Analysis of India using Machine Learning -- Mapping a Conceptual Model of Color Forecasting: A Review of Machine Learning Algorithms for Enhanced Prediction Accuracy and Efficiency -- Estimation of Net Primary Productivity using CASA Biosphere Model in Hyderabad and Roorkee Region of India -- Machine Learning Models for Chronic Renal Disease Prediction -- ARTHRO - Knee Osteoarthritis Detection Using Deep Learning -- Improvised Real Time Tweet Analysis for Brand Recognition -- AI Based Facial Emotion Recognition -- Improved Genetic Algorithm in a Static Environment for the Robotic Path Planning Problem -- Development of An Event-based Dataset For Abnormal Activity Detection -- Media Text Analysis based on One-Dimensional Hashtag Embeddings -- Occluded Face Recognition using Non-global Features Extraction and K-means Clustering Algorithm -- Brain Tumor Segmentation Using Gaussian Based U-Net Architecture -- Utility of smoothing techniques in yield curve modeling for non-steady state data of Sri Lanka capital market -- WSN based secure and energy efficient smart parking management system (SPMS)using FFA-ANN -- Multilingual approach to decode Shree Rama Prashanavali using Character Recognition and String Matching -- An enhanced approach for automatic sound event detection using neural networks -- Detecting Issues Related to Environmental, Social, and Corporate Governance using SEC-BERT -- Comprehensive Analysis of Deep Learning Models for Brain Tumor Detection from Medical Imagine -- Face Counting based on pre-trained machine learning models: A brief systematic review -- A Machine Learning - Driven Soil Nutrient, and Crop Yield Recommendation Platform with Pesticide Suggestions -- A Machine Learning Approach to optimize the water consumption for irrigation of rice crop -- Raithubot: An RLHF-Finetuned Telugu Chatbot for Farmers -- UAV Enabled Systems for Industry 4.0: Applications and Challenges -- User Reception is Everything: Using a Neural Network to Predict iOS App Ratings -- A Survey of Motion Prediction for Autonomous Vehicles using the Lyft Dataset -- Dengue Fever Outbreak Prediction using Machine Learning Models: A Comparative Study Dengue Fever -- Improved Appearance Model for Handling Occlusion in Vehicle Tracking -- Enhanced Dynamic Vehicle Detection and Tracking to Improve the Quality of Image Processing using Deep Learning -- Construction of Substitution Box from Nordstrom-Robinson (N16) Code -- Natural Language to Unified Modeling diagrams A Deep Learning Approach -- Time-dependent Enhanced Personalized Semantic Map-based Transportation Mode Recommendation System -- Web Based Threat Identification Using Classification Algorithm.
    Abstract: This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2023), organized by Soft Computing Research Society (SCRS) and Malaviya National Institute of Technology Jaipur, India, from 14 to 15 July 2023. The book is divided into four volumes, and it covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.
    DOI: 10.1007/978-981-99-7820-5
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    BSZ
    MPI Ethno. Forsch.
  • 4
    Online Resource
    Online Resource
    Data Science and Applications : Proceedings of ICDSA 2023, Volume 3 (2024)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819978175
    Language: English
    Pages: 1 Online-Ressource(XX, 597 p. 294 illus., 251 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 820
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Data mining. ; Internet of things.
    Abstract: PV Array System Stimulation Affected By Variability in Temperature & Location -- A Real-Time Cataract Detection And Diagnosis Through Web-Based Imaging Analysis -- A Survey of Decentralized Digital Voting System using Blockchain Technology -- Multiple Infectious Disease Diagnosis and Detection using Advanced CNN Models -- Development of Indoor Autonomous Mobile BOT for Static Obstacle Avoidance -- Forest Fire Detection and Prediction using HSV and MLP -- An Insight into recent advances in the Intelligent Controller Methods -- Some Observations on Social Media Mining tools for Health Applications -- Smart Contact Lenses for Monitoring Patient’s Vision : A Generic Review -- Liver lesion detection from MR T1 In-phase and Out-phase Fused Images and CT Images using YOLOv8 -- Analyzing Blockchain Data to Detect Bitcoin Addresses Involved in Illicit Activities using Anomaly Detection -- Comparing Spring Boot and ReactJS with other Web Development Frameworks: A Study -- Performance Analysis of InceptionV3, VGG16, Resnet50 models for crevices recognition on surfaces -- A Machine Learning Approach for Moderating Toxic Hinglish Comments of YouTube Videos -- Instant Accident Detection and Emergency Alert System -- A Novel Approach to Video Summarization using AI-GPT and Speech Recognition -- Classification of Underwater Fish Species using Custom-Built Deep Learning Architectures -- Deep Learning Based Approach for Plant Disease Classification -- Prediction of liver disease using Machine Learning Algorithms -- Analysis of Detection of Glioma by Segmentation of Brain Tumor MRI images using Deep Learning -- CloneAI : A Deep Learning Based Approach for Cloned Voice Detection -- Analyzing the Performance and Wireless Network Capacity of NOMA: Study of the Impact of OMA and NOMA on 5G Network -- Malarıa Parasıte Detectıon Usıng Deep Neural Networks -- IoT-based Agriculture: Identification and Classification of Apple Quality Using Deep Learning -- Plant Disease Detection on Edge Devices -- Analyze the Quality of Wine based on Machine Learning Approach -- Safeguarding financial transaction with Cryptocurrency -- Analysis and control of Dual Active Bridge Converter for Vehicle to load application in electric vehicle -- Efficient Plant Leaf Disease Detection using a Customized Convolutional Neural Network -- Analyzing and Predicting Temperature Trends in a Metropolitan Area Using Time Series Analysis and Machine Learning Techniques -- An Explainable AI (XAI) Based Framework for Detecting Diseases in Paddy Crops -- De-noising Tail Entity Selection in Automatic Question Generation with Fine-tuned T5 Model -- Hybridization of Artificial Gravity Cuckoo Search Algorithm with XGboost- Particle Swarm Optimized Neural Networks for Cardiac Feature Selection -- Urdu Sentiment Analysis: A Review -- Fir Filter Design Using Distributed Arithmetic With Lookup Tables (LUTs) -- Classification of Brain Tumour disease with Transfer learning using modified pre-trained deep convolutional neural network -- Bayesian Optimized Traffic Sign Recognition on Social Media Data Using Deep Learning -- Enhancing the Performance of PSO Algorithm for Clustering High dimensional data using Autoencoders -- Predicting Covid-19 Outbreaks: Leveraging Machine Learning and Deep Learning Models for Trend Analysis -- Stock Price Prediction using Sentiment Analysis on Financial News -- A modified self organizing map with mean-shift clustering for seismicity analysis of earthquake catalogs -- Adopting Blockchain Technology for Smart Farming and Food Security.
    Abstract: This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2023), organized by Soft Computing Research Society (SCRS) and Malaviya National Institute of Technology Jaipur, India, from 14 to 15 July 2023. The book is divided into four volumes, and it covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.
    DOI: 10.1007/978-981-99-7817-5
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    BSZ
    MPI Ethno. Forsch.
  • 5
    Online Resource
    Online Resource
    Proceedings of International Conference on Data Science and Applications : ICDSA 2022, Volume 2 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811966347
    Language: English
    Pages: 1 Online-Ressource(XXV, 915 p. 433 illus., 331 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 552
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Data mining. ; Internet of things.
    Abstract: Improving River Streamflow Forecasting utilizing Multi-layer Perceptron-based Butterfly Optimization Algorithm -- Covid-19 Contact Tracing Using Low Calibrated Transmission Power from BLE – Approach & Algorithm Experimentation -- Monitoring loud commercials in television broadcast -- Potential Customers Prediction in Bank Telemarketing -- Analysis and implementation of normalization techniques on KDD'99 Dataset for Detect and Prevent Intrusion on Network -- Deep Neural Networks Predicting Student Performance -- An Efficient Group Signature Scheme based on ECDLP -- Sentiment Analysis of COVID-19 tweets using TextBlob and Machine Learning classifiers - An evaluation to show how COVID -19 opinions is influencing psychological reactions of people‘s behaviour in social media.
    Abstract: This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2022), organized by Soft Computing Research Society (SCRS) and Jadavpur University, Kolkata, India, from 26 to 27 March 2022. It covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.
    DOI: 10.1007/978-981-19-6634-7
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  • 6
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    Online Resource
    Proceedings of International Conference on Data Science and Applications : ICDSA 2022, Volume 1 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811966316
    Language: English
    Pages: 1 Online-Ressource(XXVII, 957 p. 397 illus., 322 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 551
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Data mining. ; Internet of things.
    Abstract: Cancer Prognosis by Using Machine Learning and Data Science: A systematic review -- Understanding Agriculture Scenario of Punjab: A Qualitative Research of Crop parameter in relation to fertilizer usage -- Face Detection Based Border Security System Using Haar-Cascade and LBPH Algorithm -- Proposed Experimental Design of a Portable COVID-19 Screening Device Using Cough Audio Samples -- Big Data Framework for Analytics Business Intelligence -- Technological Impacts of AI on Hospitality and Tourism Industry -- Improvement of Real-Time Kinematic Positioning Using Kalman Filter-Based Singular Spectrum Analysis during Geomagnetic Storm for Thailand sector.
    Abstract: This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2022), organized by Soft Computing Research Society (SCRS) and Jadavpur University, Kolkata, India, from 26 to 27 March 2022. It covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.
    DOI: 10.1007/978-981-19-6631-6
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  • 7
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    Online Resource
    Proceedings of International Conference on Computational Intelligence : ICCI 2022 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819928545
    Language: English
    Pages: 1 Online-Ressource(XII, 408 p. 148 illus., 114 illus. in color.)
    Edition: 1st ed. 2023.
    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. ; Machine learning. ; Big data. ; Computer networks .
    Abstract: Entropy measure for the linguistic intuitionistic fuzzy set -- Principal component analysis and correlation coefficient-based decision-making approach for stock portfolio selection -- Determination of Thickness and Refractive Indices of Thin-Films from Reflectivity Spectrum using Rao-1 Optimization Algorithm -- Deep Sea Debris Detection using YOLOIncep Network -- Precipitation Forecasting: LSTM Modelling in Visual Analytic Frame work -- Cyclone Forecasting Before Eye Formation Using Deep-Learning -- Efficient Approach for Malware Detection Using Machine Learning Classifier -- Distances from Fuzzy Implications -- Real Time quick Fog removal Technique for supporting vehicles on hilly routes amid dense fog -- Deep learning based approach for outlier detection in wireless sensor network -- Predicting Kidney Tumor Using Convolutional Neural Network (CNN) -- Comparative Analysis of Cognitive Services in popular cloud platforms -- A Survey on Efficient Neural Network Compression Techniques -- Implementation of Reliable Post-Disaster Relief -- Communication Network Using Hybrid Secure Routing Protocol -- Compact Metamaterial Octagonal Antenna for Wireless Body Area Network -- A survey on different techniques for Anomaly detection -- A Scholastic Comprehensive study on 6G Wireless Communication System -- A Modified LSB Steganography Algorithm to Store Images of Large Size.
    Abstract: The book presents high quality research papers presented at International Conference on Computational Intelligence (ICCI 2022) held at Indian Institute of Information Technology Pune, India during 29 – 30 December, 2022. The topics covered are artificial intelligence, neural network, deep learning techniques, fuzzy theory and systems, rough sets, self-organizing maps, machine learning, chaotic systems, multi-agent systems, computational optimization ensemble classifiers, reinforcement learning, decision trees, support vector machines, hybrid learning, statistical learning, metaheuristics algorithms: evolutionary and swarm-based algorithms like genetic algorithms, genetic programming, differential evolution, particle swarm optimization, whale optimization, spider monkey optimization, firefly algorithm, memetic algorithms. And also machine vision, Internet of Things, image processing, image segmentation, data clustering, sentiment analysis, big data, computer networks, signal processing, supply chain management, web and text mining, distributed systems, bioinformatics, embedded systems, expert system, forecasting, pattern recognition, planning and scheduling, time series analysis, human-computer interaction, web mining, natural language processing, multimedia systems, and quantum computing.
    DOI: 10.1007/978-981-99-2854-5
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  • 8
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    Online Resource
    Proceedings of International Conference on Data Science and Applications : ICDSA 2021, Volume 2 (2022)
    Singapore : Springer Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811653483
    Language: English
    Pages: 1 Online-Ressource(XXIII, 799 p. 353 illus., 260 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes in Networks and Systems 287
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Data structures (Computer science). ; Statistics . ; Computer security.
    Abstract: Chapter 1. Feature Selection using Multiple Ranks with Majority Vote Based Relative Aggregate Scoring Model for Parkinson Dataset -- Chapter 2. Performance Enhancement of Fractional PI^λ D^μ Controllers using Modified Grey Wolf Optimization -- Chapter 3. Evaluation of Intent Classification Models on Frequently Asked Railway Queries -- Chapter 4. On Cost Analysis of New Crossbar Interconnection Network -- Chapter 5. A Review on Pattern Recognition based Retinal blood vessels extraction technique to detect Diabetic Retinopathy (DR) -- Chapter 6. Multiband Reconfigurable Antenna Design with Frequency, Polarization and Pattern diversities -- Chapter 7. Issues and Framework of Rules for Resolving Anaphora in Marathi Text -- Chapter 8. Investigation on Customer Churn Prediction using Machine Learning Techniques -- Chapter 9. Key object classification for Activity Recognition in tennis using cognitive approach in Mask RCNN -- Chapter 10. BioGamal Privacy Preserving Public Auditing for Cloud Computing -- Chapter 11. Analysis of Intelligent Fuzzy Logic MPPT for Hybrid PV-Wind Energy System -- Chapter 12. Fusion Based Feature Extraction Approach for Recognition of Handwritten Devnagari Numerals -- Chapter 13. Analysis of independence and Clustering pattern of students in adopting MOOCs -- Chapter 14. Enhancing Monitoring in Online Exams using Artificial Intelligence -- Chapter 15. Emergent use of AI and Social Media for Disaster Management.
    Abstract: This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2021), organized by Soft Computing Research Society (SCRS) and Jadavpur University, Kolkata, India, from April 10 to 11, 2021. It covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.
    DOI: 10.1007/978-981-16-5348-3
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  • 9
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    Online Resource
    Proceedings of International Conference on Data Science and Applications : ICDSA 2021, Volume 1 (2022)
    Singapore : Springer Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811651205
    Language: English
    Pages: 1 Online-Ressource(XIV, 859 p. 423 illus., 324 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes in Networks and Systems 288
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Data structures (Computer science). ; Statistics . ; Computer security.
    Abstract: Chapter 1. A Deep Learning-based Approach with Image-driven Active Contour Loss for Medical Image Segmentation -- Chapter 2. QoS Parameter Analysis of TCP and UDP Traffic over Open flow Enabled Software Defined Network -- Chapter 3. The Challenges of Data Analytics Implementations: A Preliminary Literature Review -- Chapter 4. In depth opinion mining and sentiment analysis of Twitter data -- Chapter 5. An Extensive Review on: Low Noise Amplifier for Millimeter and Radio Frequency Waves -- Chapter 6. UWB applications and bird eye view on high frequency LNA applications -- Chapter 7. Ocean Wave Modeling from Satellite images using Data Assimilation -- Chapter 8. Design of a Laser Projection System for Intelligent Learning Environments -- Chapter 9. Medical Image Enhancement: A Review -- Chapter 10. A Computer Vision Approach Towards Maturity Stage Classification of Tomatoes Using Second Order Wavelet Features -- Chapter 11. Vigorous deep learning models for identifying tomato leaf diseases -- Chapter 12. Automatic distres analysis using Text Mining -- Chapter 13. Prediction of student’s performance in an academic using data science and machine learning -- Chapter 14. Performance Enhancement by Tuning Hyperparameters of Random Forest Classifier for Hardware Trojan Detection -- Chapter 15. Low Complexity Hybrid Beamforming Technique for Massive MIMO System.
    Abstract: This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2021), organized by Soft Computing Research Society (SCRS) and Jadavpur University, Kolkata, India, from April 10 to 11, 2021. It covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.
    DOI: 10.1007/978-981-16-5120-5
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  • 10
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    Congress on Intelligent Systems : Proceedings of CIS 2021, Volume 1 (2022)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811694165
    Language: English
    Pages: 1 Online-Ressource(XV, 951 p. 400 illus., 318 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 114
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Robotics.
    Abstract: The Extraction of Automated Vehicles Traffic Accident Factors and Scenarios using Real-World data -- Leaf Disease Identification in Rice Plants Using CNN Model -- Twitter Sentiment Analysis Based on Neural Network Techniques -- Enhanced Stock Market Prediction using Hybrid LSTM Ensemble -- Classifying Microarray Gene Expression Cancer Data using Statistical Feature Selection and Machine Learning Methods -- Pythagorean Fuzzy Information Measure with Application to Multicriteria Decision Making -- Developing an Improved Software Architecture Framework for Smart Manufacturing -- Intelligent Water Drops Algorithm Implementation using Mathematical Function -- A Study of Decision Tree Classifier to Predict Learner’s Progression -- An Overview of Blockchain and IoT in e-Healthcare System.
    Abstract: This book is a collection of selected papers presented at the Second Congress on Intelligent Systems (CIS 2021), organized by Soft Computing Research Society and CHRIST (Deemed to be University), Bengaluru, India, during September 4 – 5, 2021. It includes novel and innovative work from experts, practitioners, scientists, and decision-makers from academia and industry. It covers topics such as Internet of things, information security, embedded systems, real-time systems, cloud computing, big data analysis, quantum computing, automation systems, bio-inspired intelligence, cognitive systems, cyber physical systems, data analytics, data/web mining, data science, intelligence for security, intelligent decision making systems, intelligent information processing, intelligent transportation, artificial intelligence for machine vision, imaging sensors technology, image segmentation, convolutional neural network, image/video classification, soft computing for machine vision, pattern recognition, human–computer interaction, robotic devices and systems, autonomous vehicles, intelligent control systems, human motor control, game playing, evolutionary algorithms, swarm optimization, neural network, deep learning, supervised learning, unsupervised learning, fuzzy logic, rough sets, computational optimization, and neuro-fuzzy systems.
    DOI: 10.1007/978-981-16-9416-5
    URL: lizenzpflichtig
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  • 11
    Online Resource
    Online Resource
    Intelligent Vision in Healthcare (2022)
    Singapore : Springer Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811677717
    Language: English
    Pages: 1 Online-Ressource(XIII, 151 p. 65 illus., 49 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Studies in Autonomic, Data-driven and Industrial Computing
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Signal processing. ; Medical informatics.
    Abstract: Intelligent Vision in Healthcare -- Diagnosis of Covid-19 in X-ray and CT Images Using Online Clustering Framework -- Unsupervised Deep Learning Approach for the Identification of Intracranial haemorrhage in CT images using PCA-Net and K-Means algorithm -- Automatic segmentation of optic cup and optic disc using MultiResUnet for Glaucoma classification from fundus image -- A Framework to Classify the Calcification Region from USG Images of Thyroid Nodules -- Predicting Heart Disease with Multiple Classifiers.
    Abstract: This book focuses on various aspects of computer vision applications in the field of healthcare. It covers new tools and technologies in some of the important areas of medical science like histopathological image analysis, cancer taxonomy, use of deep learning architecture dental care, and many more. Furthermore, this book reviews and discusses the use of intelligent learning-based algorithms for increasing the precision in medical domain. The book discusses different computer vision algorithms which are useful in various industries and day-to-day life. It also highlights many challenges faced by research community, like view point variations, scale variations, illumination variations, multi-modalities, and noise.
    DOI: 10.1007/978-981-16-7771-7
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  • 12
    Online Resource
    Online Resource
    Congress on Intelligent Systems : Proceedings of CIS 2021, Volume 2 (2022)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811691133
    Language: English
    Pages: 1 Online-Ressource(XV, 933 p. 452 illus., 374 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 111
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Robotics.
    Abstract: A Novel Feature Descriptor: Color Texture Description with Diagonal Local Binary Patterns Using New Distance Metric for Image Retrieval -- OntoINT: A Framework for Ontology Integration based on Entity Linking from Heterogenous Knowledge Sources -- Removal of Occlusion in Face Images Using Pix2pix Technique for Face Recognition -- Age, Gender and Emotion Estimation Using Deep Learning -- Qualitative classification of wheat grains using supervised learning -- Assessment of Attribution in Cyber Deterrence: A Fuzzy Entropy Approach -- A Deep Learning Approach for Plagiarism Detection System using BERT -- Performance Analysis of Machine Learning Algorithms for Website Anti-phishing -- Analysis and performance of JADE on Interoperability issues between two platform Languages -- Classification of Covid 19 Chest CT images using Optimized Deep Convolutional Generative Adversarial Network and deep CNN -- Model order reduction of Continuous time multi input multi output system using Sine Cosine Algorithm -- Optimizing an Inventory Routing Problem Using a Modified Tabu Search -- Forecasting stock market indexes through machine learning using technical analysis indicators and DWT -- An Empirical Study of Signal Transformation Techniques on Epileptic Seizures Using EEG Data -- Real-Time Segregation of Encrypted Data Using Entropy -- Improved Telugu Scene Text Recognition with Thin plate spline transform -- Limacon inspired PSO for LSSMTWTS problem.
    Abstract: This book is a collection of selected papers presented at the Second Congress on Intelligent Systems (CIS 2021), organized by Soft Computing Research Society and CHRIST (Deemed to be University), Bengaluru, India during September 4 – 5, 2021. It includes novel and innovative work from experts, practitioners, scientists and decision-makers from academia and industry. It covers topics such as Internet of Things, information security, embedded systems, real-time systems, cloud computing, big data analysis, quantum computing, automation systems, bio-inspired intelligence, cognitive systems, cyber physical systems, data analytics, data/web mining, data science, intelligence for security, intelligent decision making systems, intelligent information processing, intelligent transportation, artificial intelligence for machine vision, imaging sensors technology, image segmentation, convolutional neural network, image/video classification, soft computing for machine vision, pattern recognition, human computer interaction, robotic devices and systems, autonomous vehicles, intelligent control systems, human motor control, game playing, evolutionary algorithms, swarm optimization, neural network, deep learning, supervised learning, unsupervised learning, fuzzy logic, rough sets, computational optimization, and neuro fuzzy systems.
    DOI: 10.1007/978-981-16-9113-3
    URL: lizenzpflichtig
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