AI and Machine Learning Paradigms for Health Monitoring System Intelligent Data Analytics 1st Edition by Hasmat Malik, Nuzhat Fatema, Jafar A Alzubi ISBN 9813344121 9789813344129

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ISBN 10: 9813344121 
ISBN 13: 9789813344129
Author:  Hasmat Malik, Nuzhat Fatema, Jafar A Alzubi

This book embodies principles and applications of advanced soft computing approaches in engineering, healthcare and allied domains directed toward the researchers aspiring to learn and apply intelligent data analytics techniques. The first part covers AI, machine learning and data analytics tools and techniques and their applications to the class of several hospital and health real-life problems. In the later part, the applications of AI, ML and data analytics shall be covered over the wide variety of applications in hospital, health, engineering and/or applied sciences such as the clinical services, medical image analysis, management support, quality analysis, bioinformatics, device analysis and operations. The book presents knowledge of experts in the form of chapters with the objective to introduce the theme of intelligent data analytics and discusses associated theoretical applications. At last, it presents simulation codes for the problems included in the book for better understanding for beginners.

AI and Machine Learning Paradigms for Health Monitoring System Intelligent Data Analytics 1st Table of contents:

Brief Introduction of AI and Machine Learning (AIML) and Its Applications
Optimization Solutions for Demand Side Management and Monitoring
An Insight into Tool and Software Used in AI, Machine Learning and Data Analytics
Security Enhancement and Monitoring for Data Sensing Networks Using a Novel Asymmetric Mirror-Key Data Encryption Method
Introduction to Cuckoo Search and Its Paradigms: A Bibliographic Survey and Recommendations
Routing Protocols for Internet of Vehicles: A Review
Introduction to Particle Swarm Optimization and Its Paradigms: A Bibliographic Survey
AIML Applications for Monitoring System in Health and Management
Classification and Monitoring of Injuries Around Knee Using Radiograph-Based Deep Learning Algorithm
Artificial Intelligence: Its Role in Diagnosis and Monitoring Against COVID-19
Predicting Future, Past, and Misinterpreted COVID-19 Cases Using Bidirectional LSTM Model for Proper Health Monitoring: Advances in Data Analytics
Data-Driven Analysis to Identify the Role of Relational Benefit in Developing Customer Loyalty and Management: A Case Study
Interpretation of EEG Signals During Wrist Movement Using Multi-resolution Wavelet Features for BCI Application
Validation of Road Traffic Noise Prediction Model CoRTN for Indian Road and Traffic Conditions
AIML Applications for Monitoring System in Engineering and Automation
Deep Learning and Statistical-Based Daily Stock Price Forecasting and Monitoring
Intelligent Modelling of Renewable Energy Resources-Based Hybrid Energy System for Sustainable Power Generation and Monitoring
Economic Load Dispatch Monitoring and Optimization for Emission Control Using Flower Pollination Algorithm: A Case Study
Planning and Monitoring of EV Fast-Charging Stations Including DG in Distribution System Using Particle Swarm Optimization
IoT-Based LPG Leakage Detection System with Prevention Compensation
Short-Term Scheduling of Hydrothermal Based on Teaching–Learning Optimization
Simulation and Analysis of Rectifier-Based Four-Level Grid-Connected Inverter Using Genetic Algorithm
Vector Control of Dual 3-ϕ Induction Machine-Based Flywheel Energy Storage System Using Fuzzy Logic Controllers
Hotspot Detection in Distribution Transformers Using Thermal Imaging and MATLAB
An Innovative Fuzzy Modelling Technique for Photovoltaic Power Generation Farm’s Failure Modes and Effects Analysis
Analysis and Application of Nine-Level Boost Inverter for Distributed Solar PV System
Performance Evaluation of a 500 kWp Rooftop Grid-Interactive SPV System at Integral University, Lucknow: A Feasible Study Under Adverse Weather Condition
Fuzzy Logic-Based Cycloconverter for Cement Mill Drives
Comparative Control Study of CSTR Using Different Methodologies: MRAC, IMC-PID, PSO-PID, and Hybrid BBO-FF-PID
Performance Analysis of Nine-Level Packed E Cell Inverter for Different Carrier Wave PWM Techniques
PSO-Based Selective Harmonics Elimination Method for Improving THD in Three-Phase Multi-level Inverter
Optimized Controller Design for Fast Steering Mirror-Based Laser Beam Steering Applications
Comparison of Metaheuristic and Conventional Algorithms for Maximum Power Point Tracking of Solar PV Array
Artificial Neural Network-Based Maximum Power Point Tracking Method with the Improved Effectiveness of Standalone Photovoltaic System
Analysis on Various Optimization Technique Used for Load Frequency Control
Optimal Design of Permanent Magnet Brushless DC (PMBLDC) Motor Using PSO Algorithm
A Novel Lossless Image Cryptosystem for Binary Images Using Feed-Forward Back-Propagation Neural Ne

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