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Preface xix Part 1: Technologies 1 1 A Novel Approach for Predicting Human Anomalous Behaviors in Video through Two-Stream 3D Convolutional Neural Network 3 2 U-Net–Based Residual Network for Blood Vessel Segmentation from Fundus Images 27 3 Machine Learning–Based Early Identification of Parkinson Disease Using Voice and Behavioral Data 41 4 Automated Dental Age Detection Using Mayfly Optimized Extreme Learning Machine Classification 63 5 Ensemble-Stacked Hybrid Classifier (ESHC): A Novel Approach for Imbalanced Data Classification in Stroke Prediction 81 6 Ensemble-Based Classification and Prediction of Divergent Gene Variant Interpretations Using Boosting and Modern Machine Learning Techniques 109 7 Blockchain-Based AI Security Model for Preserving Medical Data with Interplanetary Access Control System 129 Part 2: Applications 149 8 Virtual Reality, Augmented Reality, and Mixed Reality for Healthcare Applications 151 9 A Layered Convolutional Network Model for Cancer Prediction Using Learning Approaches 171 10 Chronic Kidney Disease Prediction Using a Layered Convolutional Vector Model 203 11 Early Detection and Automatic Diagnosis of Autism Spectrum Disorder Using Transformer Model 229 12 Energy-Efficient Lightweight Security Framework for Internet of Medical Things Devices for Healthcare Applications 247 13 An Intelligent Framework for Identifying Tumor in Pancreas through an AI and Deep Learning Approach 265 Part 3: Challenges 285 14 Performance Improvement of Brain Tumor Classification Using Aquila-Based Optimization on Transfer Learning Models 287 15 An Enhanced Pretrained Language Model for Biomedical Domain: Fine-Tuning BERT for Electronic Health Records 305 16 Development and Optimization of Hybrid Fixed-Wing Unmanned Aerial Vehicles for Healthcare Applications 321 17 Optimization of Nerve Segmentation Performance Using U-Net Architecture and Aquila in Medical Imaging 345 18 AI in Diagnosis, Treatment, and Surgery 369 References 402 |
R. Nidhya, PhD is an Assistant Professor in the Department of Computer Science and Engineering, Madanapalle Institute of Technology and Science (Deemed to be University), Andhra Pradesh, India. She has published many research papers in international journals and conferences. Her research interests include wireless body area networks, network security, and data mining.
D. Pavithra, PhD is an Associate Professor at the Dr. NGP Institute of Technology, Coimbatore, Tamil Nadu, India. She completed her PhD at Anna University Chennai in 2021. Her current research interests include autism, machine learning, and deep learning.
S. Balamurugan, PhD is the Director of Albert Einstein Engineering and Research Labs and the Vice Chairman of the Renewable Energy Society of India. He also serves as a research consultant to many companies, startups, SMEs, and MSMEs. He has published 57 books, more than 300 international journals and conferences, and 100 patents.
A. Dinesh Kumar is an Associate Professor in the Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation University, Guntur, Andhra Pradesh, India. He completed his PhD at Anna University Chennai in 2018. His current research interests include wireless body area networks, wireless sensor networks, network security, and artificial intelligence.
Sheng-Lung Peng, PhD is a Professor and the Director of the Department of Creative Technologies and Product Design at the National Taipei University of Business, Taiwan. He has edited several special issues of journals and published more than 100 research papers. His research interests include designing and analyzing algorithms for bioinformatics, combinatorics, data mining, and networks.