Recent Trends in Artificial Intelligence and Data Sciences

A Comparative Analysis of Existing and AI-Driven Frameworks for Industrial Interaction Practices.- A Comprehensive Review: Machine and Deep Learning Techniques for Sentiment Analysis on Datasets of Political Tweets.- Comparative Analysis of Feature Selection Techniques for Malware Detection in URLs.- Google and Flower Federated Learning Frameworks Comparison in Bug Prediction in terms of Flexibility and Technical Factors.- Exploring Sentiments in Stack Overflow Score and Discussion: A Dual Approach with Machine Learning Models and Expert Evaluation.- An AI-Enhanced Framework for Mental Health Management.- dvancing Diabetic Retinopathy Detection through Collaborative Vision Transformer and CNN Architectures Integrated with Explainable AI.- Diagnosis and Prediction of Multiple Sclerosis Disease Using Quantum Machine Learning Classifiers.- Predictive Modeling for Breast Cancer Diagnosis Using Machine Learning Algorithms.- Early Detection of Cardiovascular Disease through the Utilization of Multiple Machine Learning Techniques.- Early Prediction and Detection of Liver Disease Using Deep Learning.- Predictive Analytics based on Public Health Response using Epidemiological Models: A Data Driven Approach.- Prognosis, and Diagnosis of Diabetes through Minkowski Distance Metric.- Mental Health Reaction Based On Behavioral Analysis And Digital Device Usage Using Machine Learning Algortihm.- Automated Onset Seizure Detection Using EEG Signals by Machine Learning.

• Erscheinungsdatum: 20.11.2025
• Autor/Autorin: Sumit Kumar
• Reihe: Intelligent Technologies and Robotics (R0)
• Format: E-Book
• Dateiformat: PDF
• Kopierschutz: Wasserzeichen
• Dateigröße: 29.8 MB
• Verlag: SPRINGER
• Sprache: Englisch
• Umfang: 574 Seiten
• ISBN: 9789819692033
• Lieferung: Sofort per Download
• Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
• Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.