Artificial Intelligence Based Smart and Secured Applications

Artificial Intelligence & Machine Learning.- A Collaborative and Interpretable AI Model for Chronic Kidney Disease Prediction Using Federated Learning.- Hypertension Detection Using ANOVA-Correlation Feature Selection with Updated Diagnostic Thresholds using Machine Learning Approach.- A Neural Network Approach for Translating English to Sanskrit Using LSTM Encoder-Decoder Architecture.- Monetary Policy Optimization through Neural Network Forecasting of Banking Sector Stability.- Ambient Intelligence in Smart Hospital Rooms : A Context-Aware System for Patient Centric Healthcare.- Smart Intelligence Cyber Security Based On Hash Coded Stegno-Lattice Block Policy Steganography Using Edwards-Curve Digital Signature Algorithm.- Hybrid Model for Alzheimer Disease Prediction from Electronic Health Records of Patients.- Applied Modified Metaheuristic: Machine Learning Tuned for Software Defect Detection.- MediGuard – The AI Powered Drug Interaction Checker.- Enhanced Classification and Segmentation of Human Embryo Images Using Hybrid Fuzzy Clustering and Meta-Heuristic Optimization Techniques.- Linguistic Biometrics: Continuous Authentication Using Personalized Grammar, Vocabulary, and Typing Behavior.- An Empirical Study on the Role of Artificial Intelligence in Shaping Sustainable Consumer Behaviour.- A Comprehensive Machine Learning Framework for Early Detection of Lung Cancer.- Learning Dwarf Mongoose Optimization (LDMO) Based Feature Selection And Contractive Autoencoder (CAE) Classifier For Chronic Disease Management.- Ensuring Ethical Integrity in AI to Support and Sustain Job Satisfaction.- MedXAgent: Visual XAI Based Explanations of AI Agent Decisions in Medical Imaging for Precision Medicine in Smart Healthcare Systems.- Integrating Security Approaches for Hybrid Cloud Architectures in Modern Enterprises.- Comprehensive Cloud Security through Fuzzy Logic: Protecting Privacy and Facilitating Data Recovery.- Edge and Distance Map Conditioning for Improved Cardiac Vessel Segmentation Using cGANs Under Limited Annotated Dataset.- Detecting Sleep States and Disorders of a Patient Using Machine Learning in Healthcare.- TEDA-Powered Anomaly Detection on USPS Images Using PySpark Streaming and MLAutoCloud Framework : A Comparative Study.- Behavioral Clustering and ERP Usage Trends in Service-Oriented Enterprises.- A Hybrid Transformer–LSTM Framework for Real-Time Appliance Energy Demand Forecasting in Smart Environments.- Spot the Fake: Vision Transformers in the Fight Against DeepFakes.- The Convergence of Finance and Technology: A Bibliometric Study of Fintech's Impact on Banking Innovation.

• Erscheinungsdatum: 19.02.2026
• Autor/Autorin: Sridaran Rajagopal
• Reihe: Artificial Intelligence (R0)
• Format: E-Book
• Dateiformat: PDF
• Kopierschutz: Wasserzeichen
• Dateigröße: 52.4 MB
• Verlag: SPRINGER
• Sprache: Englisch
• Umfang: 408 Seiten
• ISBN: 9783032178374
• Lieferung: Sofort per Download
• Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
• Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.