Machine Learning and IoT for Intelligent Systems and Smart Applications
Machine Learning and IoT for Intelligent Systems and Smart Applications
Kumar, M Vinoth; P, Madhumathy; Umamaheswari, R.
Taylor & Francis Ltd
10/2024
228
Mole
9781032047256
Pré-lançamento - envio 15 a 20 dias após a sua edição
Chapter 2 Machine Learning based Microstrip Antenna Design in Wireless Communications
Chapter 3 LCL-T Filter Based Analysis of Two Stage Single Phase Grid Connected Module with Intelligent FANN Controllers
Chapter 4 Motion Vector Analysis Using Machine Learning Models to Identify Lung Damages for COVID-19 Patients
Chapter 5 Enhanced Effective Generative Adversarial Networks Based LRSD and SP Learned Dictionaries with Amplifying CS
Chapter 6 Deep Learning Based Parkinson's Disease Prediction System
Chapter 7 Non-Uniform Data Reduction Technique with Edge Preservation to Improve Diagnostic Visualization of Medical Images
Chapter 8 A Critical Study on Genetically Engineered Bioweapons and Computer-Based Techniques as Counter Measure
Chapter 9 An Automated Hybrid Transfer Learning system for Detection and Segmentation of Tumor in MRI Brain Images with UNet and VGG-19 Network
Chapter 10 Deep Learning-Computer Aided Melanoma Detection Using Transfer Learning
Chapter 11 Development of an Agent-based Interactive Tutoring System for Online Teaching in School using Classter
Chapter 12 Fusion of Datamining and Artificial Intelligence in Prediction of Hazardous Road Accidents
Chapter 2 Machine Learning based Microstrip Antenna Design in Wireless Communications
Chapter 3 LCL-T Filter Based Analysis of Two Stage Single Phase Grid Connected Module with Intelligent FANN Controllers
Chapter 4 Motion Vector Analysis Using Machine Learning Models to Identify Lung Damages for COVID-19 Patients
Chapter 5 Enhanced Effective Generative Adversarial Networks Based LRSD and SP Learned Dictionaries with Amplifying CS
Chapter 6 Deep Learning Based Parkinson's Disease Prediction System
Chapter 7 Non-Uniform Data Reduction Technique with Edge Preservation to Improve Diagnostic Visualization of Medical Images
Chapter 8 A Critical Study on Genetically Engineered Bioweapons and Computer-Based Techniques as Counter Measure
Chapter 9 An Automated Hybrid Transfer Learning system for Detection and Segmentation of Tumor in MRI Brain Images with UNet and VGG-19 Network
Chapter 10 Deep Learning-Computer Aided Melanoma Detection Using Transfer Learning
Chapter 11 Development of an Agent-based Interactive Tutoring System for Online Teaching in School using Classter
Chapter 12 Fusion of Datamining and Artificial Intelligence in Prediction of Hazardous Road Accidents