Advances in Data and Information Sciences

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.

• Erscheinungsdatum: 02.01.2025
• Autor/Autorin: Shailesh Tiwari
• Reihe: Springer Nature Proceedings excluding Computer Science
• Format: E-Book
• Dateiformat: PDF
• Kopierschutz: Wasserzeichen
• Dateigröße: 23.4 MB
• Verlag: SPRINGER
• Sprache: Englisch
• Umfang: 500 Seiten
• ISBN: 9789819773602
• Lieferung: Sofort per Download
• Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
• Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.

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