This new volume covers a diverse range of advances in intelligent systems that involve applications of AI and digital automation, such as machine learning, deep learning, sectional convolutional neural network models, and much more. It explores advances in predictive analysis, such as using AI for leukemia detection and other diseases, strategic decision-making models using data analytics, video object detection using convolution, CNN-based mask detection, medical image watermarking using RDWT-SVD-DCT, and more.
Details advances in intelligent systems that involve applications of AI and digital automation such as machine learning, deep learning, sectional convolutional neural network models, and more. Covers advances in predictive analysis, like using AI for leukemia detection, an Xception model for the prediction of monkeypox, etc.
PART I: PREDICTIVE ANALYTICS.
1. Artificial Intelligence Framework for
Leukemia Detection and Classification Using ISURF-DLCNN From Blood Cell
Image.
2. An Ensemble Fine-Tune Xception Model to Predict Monkeypox Disease
Through Skin Lesion Images.
3. Sectional Convolutional Neural Network (S-CNN)
Model for Automated Covid CT-Scan Images Recognition.
4. Analysis of Noxious
Comments Using Machine Learning.
5. Strategic Decision-Making Models Using
Data Analytics in Educational Institutions.
6. An Extensive Study on Heart
Attack Prediction Using Different ML and DL Approaches Integrated with
Genetic Algorithms. PART II: COMPUTER VISION.
7. Video Object Detection Using
Convolution Regression with Visual Tracking and SURF Features.
8. Road
Anomaly Color Image Detection Based on Dark Channel Prior with Depth Image
Model.
9. Brain Tumor Detection and Classification Using Hybrid Logistic
Regression with GMM Feature Selection.
10. Development of CNN-Based Mask
Detection Technique Using Python and TensorFlow.
11. Comprehensive Analysis
on Multi-Focus Image Fusion: A Survey. PART III: ELECTRONIC CIRCUITS AND
ASSISTIVE TECHNOLOGIES.
12. Medical Image Watermarking Using RDWT-SVD-DCT for
Secure Medical Data Transmission in Healthcare Systems.
13. An Experimental
Study on Convergence Analysis of Modified Particle Swarm Optimization.
14.
Saliency-Based Bone Fracture Identification Using Spatio-Temporal
Optimization Process.
15. Design of OR Gate-Based Ternary D-Latch Using
Graphene Nano-Ribbon Field Effect Transistors.
16. A Survey on Various Mobile
Ad-Hoc Routing Protocols.
17. Propagation of Cyberattack on a Network.
18.
Design of a Triple Node Upset Tolerant Nonvolatile Latch.
19. A Technique to
Mitigate PVT Variations in Double-Phase Nonoverlapping Clock Generating
Circuit.
20. Assistive Technology: Eco-Friendly Battery Powered Autonomous
Tongue Controlled Wheel Chair in Obstacle Ridden Environment.
21. Design of a
Low-Cost Wearable System for Long-Term Continuous Heart Rate Monitoring.
22.
Preparation and Mechanical Characterization of Jute Fabric Composites.
23. A
Review on Ring Oscillator for High Frequency Applications.
Manisha Guduri, PhD, is an Instructor at the University of Louisiana at Lafayette, USA. She is the author/coauthor of more than 62 research papers in reputed journals, book chapters, and international conferences. Her research interests include artificial intelligence, biomedical applications, and VLSI/CAD design. She is currently working on VLSI and AI in the biomedical field. She has published five patents, of which two are under FER. She received one patent grant. She is a reviewer for IEEE TVLSI, Microelectronics Journal, IET Digital Dircuits, IEEE Journal of Biomedical and Health Informatics, etc. She has one ongoing funded project from the Department of Science and Technology. She is chair of the IEEE Lafayette section, Region 05.
Uma Maheswari V., PhD, is an Associate Professor of Computer Science and Engineering at Chaitanya Bharathi Institute of Technology, Hyderabad. She has published research articles, authored one book, and edited a book on computer vision and image processing. Additionally, she has been a guest editor for the International Journal of Data Analysis Techniques and Strategies. She has coordinated a TEDxVCE, organized technical programs, and participated as a technical committee member and reviewer for SCI- and Scopus indexed journals and conferences.
Rajanikanth Aluvalu, PhD, is a Professor and Director at the Symbiosis Institute of Technology, Hyderabad, India. He was previously Professor and Head of the Department of Computer Science and Engineering at Vardhaman College of Engineering, India. He also served as Vice Chair of the Entrepreneurship and Startup Committee, as well as Treasurer and Secretary of the IEEE Computer Society, Hyderabad Section. He was Editor of the International Journal of Data Mining, Modelling and Management and Academic Editor for the PeerJ Computer Science journal.
Amit Krishna Dwivedi, PhD, is an Assistant Professor of Electrical and Electronic Engineering at the School of Engineering, University of Warwick, UK. He was previously a Lecturer/Assistant Professor of Electronic and Electrical Engineering at Manchester Metropolitan University, UK, and a researcher with the Diagnostic Imaging Center, Kuopio University Hospital in Finland. He has published research papers and written book chapters.
Martin Margala, PhD, is a Professor of Computer Science, Director of School of Computing and Informatics, Endowed Chair of Computer Science Eminent Scholar, and Fulbright Distinguished Chair, School of Computing and Informatics at the Ray P. Authement College of Sciences of the University of Louisiana at Lafayette, USA. Before joining UL Lafayette, Dr. Margala was Professor and Chair of the Electrical and Computer Engineering Department at the University of Massachusetts Lowell.
