This book gathers a collection of high-quality peer-reviewed research papers presented at the 6th International Conference on Data and Information Sciences (ICDIS 2024), held at Raja Balwant Singh Engineering Technical Campus, Agra, India, on May 24-25, 2024. The book covers all aspects of computational sciences and information security, including central topics like artificial intelligence, cloud computing, and big data. Highlighting the latest developments and technical solutions, it shows readers from the computer industry how to capitalize on key advances in next-generation computer and communication technology. …mehr
This book gathers a collection of high-quality peer-reviewed research papers presented at the 6th International Conference on Data and Information Sciences (ICDIS 2024), held at Raja Balwant Singh Engineering Technical Campus, Agra, India, on May 24-25, 2024. The book covers all aspects of computational sciences and information security, including central topics like artificial intelligence, cloud computing, and big data. Highlighting the latest developments and technical solutions, it shows readers from the computer industry how to capitalize on key advances in next-generation computer and communication technology. Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Prof. Shailesh Tiwari, Ph.D. currently works as a Professor and Additional Director at KIET Group of Institutions, Ghaziabad, UP, India. He is an alumnus of Motilal Nehru National Institute of Technology Allahabad, India. His primary areas of research are software testing, implementation of optimization algorithms and machine learning techniques in various engineering problems. He has published more than 100 publications in International Journals and in Proceedings of International Conferences of repute. He has edited special issues of several Scopus, SCI and E-SCI-indexed journals. He has also edited several books published by Springer. He has published 6 Indian patents as IPRs. He has organized several international conferences under the banner of IEEE, ACM and Springer. He is a Senior Member of IEEE, member of IEEE Computer Society, Fellow of Institution of Engineers (FIE). Dr. Munesh Chandra Trivedi has more than 20 years of experience in the field of Computer Science & Engineering and has worked in Prestigious Institutions. Currently working as Professor (Computer Science), PSSCIVE Bhopal (A Constituent unit of NCERT, Under Ministry of Education, Government of India). He had successfully filed 65 patents (52 National and 13 International Patents (Germany, South Africa, and Australia)), out of which 35 patents were granted. He has published 12 textbooks and 153 research papers in different International Journals and Proceedings of repute. He has also edited 38 books for Springer Nature. He successfully supervised 14 PhD students and received numerous awards, including the Young Scientist Visiting Fellowship, Albert Einstein Research Scientist Award, Best Senior Faculty Award, Outstanding Scientist, Dronacharya Award, Author of the Year, and Vigyan Ratan Award from different national, as well as international forums. He has organized more than 32 international conferences technically sponsored by IEEE, ACM, and Springer. Prof. Mohan L. Kolhe is with the University of Agder (Norway) as full professor in electrical power engineering with focus in smart grid and renewable energy in the Faculty of Engineering and Science. He has also received the offer of full professorship in smart grid from the Norwegian University of Science and Technology (NTNU). He has more than twenty-five years' academic experience at international level on electrical and renewable energy systems. He is a leading renewable energy technologist and has previously held academic positions at the world's prestigious universities e.g. University College London (UK / Australia), University of Dundee (UK); University of Jyvaskyla (Finland); Hydrogen Research Institute, QC (Canada); etc. Prof. Brajesh Kumar Singh is presently working as Professor and Head in Department of Computer Science and Engineering at Raja Balwant Singh Engineering Technical Campus, Agrawith more than 22 years of Teaching experience. Presently, HisArea of research work is Software Engineering, Software Project Management, Data Mining, Soft Computing, Computer Vision, IoT, and Cloud Computing. He has completed his doctorate degree in Computer Science and Engineering from Motilal Nehru National Institute of Technology, Allahabad, Prayagraj (U.P.). He has supervised 01 Ph.D. candidate from AKTU Lucknow and presently supervising 3 Ph.D. candidates. He has more than 80 publications to his credit in national and international journals and proceedings of high repute with large number of citations of his research manuscripts.
Inhaltsangabe
Emotion Classification of Mixed-Source Hindi Language Text Using Deep Learning.- Emotion Classification of Mixed-Source Hindi Language Text Using Deep Learning.- Heart Disease Prediction Using Machine Learning Algorithms.- Cyber Security Threats Prediction for Credit Card transactions Using Machine Learning Algorithms.- Interpreting Personality Traits in Social Media Images through Visual Question Answering.- A Framework for Speech based Emotion Recognition using Neural Networks.- Real-Time Indoor Workout Analysis Using Computer Vision and Mediapipe.- Automated Image Caption Generator for Visually Impaired using VGG16 and LSTM.- WOAFS: Feature Selection using Whale Optimization Algorithm for Software Fault Prediction.- Time Series Forecasting for Stock Price Movement: Leveraging NLP for Stock Market Prediction.- Optimizing Hyper-Parameters for Sanskrit to English Neural Machine Translation with LSTM and GRU Models.- Advancements in Image-Guided Surgical Procedures: Enhancing X-Ray Images, Cross Marker Classification, and C-Arm Rotation Detection.- Deep Learning Based CNN Model for Classification and Prediction of Leaf Diseases.- Humidity Data Acquisition and Regulation for Optimal Environmental Condition.- AI assisted smart agriculture technique for predicting crop nutrients.- Traffic Sign Recognition and Classification with Convolution Neural Network (CNN) and OpenCV.- User Segmentation with RFM Analysis and K-Means Clustering for Play Store Database via Machine Learning.- Onion Price Prediction Assisted by Exploratory Data Analysis Employing ARIMA Technique for Varanasi.- Revolutionizing Indian Elections: Introducing Blockchain to Ballot Based Voting.- AI Mapping for Rapid Disaster Assessment.- AI Effect On Modern Healthcare System.- Predicting Chronic Kidney Disease Stages Through Ensemble Machine Learning Techniques.- Medical Image Classification: Binary Classification of X-ray Images to Classify Fractures in Bones.- Semantic Parsing of Data Practice Statements in Privacy Policies Using BERT Models.- Research on Security Tests Methods for IoT Devices.- Method of probabilistic identification of Images in solving problems of applied Photogrammetry.- Using Patterns for Autonomous Mobile Robot Control Tasks.
Emotion Classification of Mixed-Source Hindi Language Text Using Deep Learning.- Emotion Classification of Mixed-Source Hindi Language Text Using Deep Learning.- Heart Disease Prediction Using Machine Learning Algorithms.- Cyber Security Threats Prediction for Credit Card transactions Using Machine Learning Algorithms.- Interpreting Personality Traits in Social Media Images through Visual Question Answering.- A Framework for Speech based Emotion Recognition using Neural Networks.- Real-Time Indoor Workout Analysis Using Computer Vision and Mediapipe.- Automated Image Caption Generator for Visually Impaired using VGG16 and LSTM.- WOAFS: Feature Selection using Whale Optimization Algorithm for Software Fault Prediction.- Time Series Forecasting for Stock Price Movement: Leveraging NLP for Stock Market Prediction.- Optimizing Hyper-Parameters for Sanskrit to English Neural Machine Translation with LSTM and GRU Models.- Advancements in Image-Guided Surgical Procedures: Enhancing X-Ray Images, Cross Marker Classification, and C-Arm Rotation Detection.- Deep Learning Based CNN Model for Classification and Prediction of Leaf Diseases.- Humidity Data Acquisition and Regulation for Optimal Environmental Condition.- AI assisted smart agriculture technique for predicting crop nutrients.- Traffic Sign Recognition and Classification with Convolution Neural Network (CNN) and OpenCV.- User Segmentation with RFM Analysis and K-Means Clustering for Play Store Database via Machine Learning.- Onion Price Prediction Assisted by Exploratory Data Analysis Employing ARIMA Technique for Varanasi.- Revolutionizing Indian Elections: Introducing Blockchain to Ballot Based Voting.- AI Mapping for Rapid Disaster Assessment.- AI Effect On Modern Healthcare System.- Predicting Chronic Kidney Disease Stages Through Ensemble Machine Learning Techniques.- Medical Image Classification: Binary Classification of X-ray Images to Classify Fractures in Bones.- Semantic Parsing of Data Practice Statements in Privacy Policies Using BERT Models.- Research on Security Tests Methods for IoT Devices.- Method of probabilistic identification of Images in solving problems of applied Photogrammetry.- Using Patterns for Autonomous Mobile Robot Control Tasks.
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