Proceedings of ICDIS 2024, Volume 1 Tiwari, Shailesh. editor. edt http://id.loc.gov/vocabulary/relators/edt Trivedi, Munesh C. editor. edt http://id.loc.gov/vocabulary/relators/edt Kolhe, Mohan L. editor. edt http://id.loc.gov/vocabulary/relators/edt Singh, Brajesh Kumar. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text si 2024 1st ed. 2024. monographic eng

electronic

electronic resource

access XVIII, 439 p. 222 illus., 170 illus. in color. online resource. 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. 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. edited by Shailesh Tiwari, Munesh C. Trivedi, Mohan L. Kolhe, Brajesh Kumar Singh. Computational intelligence Artificial intelligence Data structures (Computer science) Information theory Image processing Digital techniques Computer vision Computational Intelligence Artificial Intelligence Data Structures and Information Theory Computer Imaging, Vision, Pattern Recognition and Graphics Q342 9789819773602 https://doi.org/10.1007/978-981-97-7360-2 https://doi.org/10.1007/978-981-97-7360-2 250103 20251030114919.0 978-981-97-7360-2