Artificial Intelligence and Machine Learning Methods for Engineering Systems

Forecasting and Mathematical Insights

Inbunden, Engelska, 2025

567 kr

Beställningsvara. Skickas inom 5-8 vardagar. Fri frakt över 249 kr.

Beskrivning

This book presents a comprehensive exploration of advanced Artificial Intelligence and Machine Learning applications across diverse real-world domains. It brings together cutting-edge research in healthcare, renewable energy, cybersecurity, agriculture, and human behavior analytics, demonstrating how intelligent systems are transforming modern society. The volume covers deep learning architectures, predictive modeling, IoT security frameworks, medical diagnosis systems, and energy forecasting techniques, offering both theoretical foundations and practical implementations.With contributions from contemporary research, the book highlights innovative solutions such as disease prediction systems, solar energy forecasting using LSTM networks, AI-based intrusion detection, and smart healthcare analytics. It also emphasizes hybrid models, edge AI, and data-driven decision-making approaches.Designed for researchers, academicians, industry professionals, and postgraduate students, this book serves as a valuable resource for understanding how AI-powered technologies are shaping the future of intelligent systems and sustainable innovation across multiple disciplines.

Produktinformation

Utgivningsdatum:2025-12-25
Mått:152 x 229 x undefined mm
Vikt:440 g
Format:Inbunden
Språk:Engelska
Antal sidor:212
Förlag:New India Publishing Agency
ISBN:9789372195880

Utforska kategorier

Innehållsförteckning

Chapter 1.Proactive Student Retention: A Machine Learning-Based SolutionChapter 2.Short-Term Solar Power Forecasting with LSTM Neural Networks: A Study of COER University Solar PanelChapter 3.Deep Asana:AI Powered Yoga Pose Classifier Using Deep LearningChapter 4.Edge-AI Enabled Hybrid Deep Learning Framework for Botnet Intrusion Detection in Modern IoT-Driven Cyber EcosystemsChapter 5.CNN-Based Transfer Learning Approach for Skin Disease IdentificationChapter 6.Enhancing Industrial Energy Systems: AI-Based Power Quality Strategies for Electric vehiclesChapter 7.Cardiac Disease Prediction Using ML: A Comprehensive Analysis of Predictive Models and Risk FactorsChapter 8.Evaluating the Impact of Age and Treatment Modalities on Sleep Health in Breast Cancer PatientsChapter 9.Skin Cancer Detection Using Deep Learning: A Review and Proposed ArchitectureChapter10.Sleep Disorders Classification using Multidimensional Health and Behavioral Data: A Machine Learning ApproachChapter 11.Multi-Class Classification of Nutrition Deficiencies in Crop Leaves Using Hybrid CNN with LSTM and BiLSTMChapter 12.Optimized Convolutional Architectures for Dermatological Malignancy IdentificationChapter13.Predicting Extroversion and Introversion from Social Activity Data Using Supervised Machine LearningChapter 14.Influence of Behavioural and Lifestyle Factors on AcademicChapter 15.A Comparative Performance Study of Early Stroke Risk Identification Using Machine Learning.