Electronics and Communications Technology

AAP Research Notes on Optimization and Decision Making Theories

Advances in Intelligent Systems
Paradigms and Applications

Editors: Manisha Guduri, PhD
Uma Maheswari V, PhD
Rajanikanth Aluvalu, PhD
Amit Krishna Dwivedi, PhD
Martin Margala, PhD

Advances in Intelligent Systems

Now on Press
Pub Date: Forthcoming September 2025
Hardback Price: see ordering info
Hard ISBN: 9781774916988
E-Book ISBN: 9781003534037
Pages: 380ppw/index
Binding Type: Hardback / ebook
Series: AAP Research Notes on Optimization and Decision Making Theories
Notes: 12 color and 95 b/w illustrations

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.

Divided into three sections, the volume first covers advances in predictive analysis, such as using AI for leukemia detection and classification, an Xception model for the prediction of monkeypox disease, sectional convolutional neural network (S-CNN) model for automated covid detection, strategic decision-making models using data analytics in educational institutions, and more.

Several chapters in the section on computer vision consider video object detection using convolution, CNN-based mask detection, and other vision detection technologies.

The section on electronic circuits and assistive technologies looks at medical image watermarking using RDWT-SVD-DCT for secure medical data transmission in healthcare systems, such as for bone fracture identification and heart attack prediction, an eco-friendly battery powered autonomous tongue-controlled wheelchair, etc.

This volume will provide food for thought for professionals and researchers working in intelligent systems.

CONTENTS:
Preface

PART I: PREDICTIVE ANALYTICS
1. Artificial Intelligence Framework for Leukemia Detection and Classification Using ISURF-DLCNN from Blood Cell Images

Srinivas Bachu and Madasu Naga Venkata Akanksha

2. An Ensemble Fine-Tune Xception Model to Predict Monkeypox Disease Through Skin Lesion Images
Sri Silpa Padmanabhuni, Srinivasa Reddy K., B. Hanumantha Rao, A. Mallikarjuna Reddy, and Manisha G.

3. Sectional Convolutional Neural Network (S-CNN) Model for Automated Covid CT-Scan Images Recognition
Biswadev Goswami, Sayed Zahir Hasan, Joyjit Patra, Monalisa Chakraborty, and Subir Gupta

4. Analysis of Noxious Comments Using Machine Learning
Kummari Vikas, Kamal Kotgire, Bayyapu Sai Prudhvi Reddy, Kanmatha Nagasai, H. Venkateswara Reddy, and Shobarani Salvadi

5. Strategic Decision-Making Models Using Data Analytics in Educational Institutions
D. Naga Jyothi and Uma N. Dulhare

6. An Extensive Study on Heart Attack Prediction Using Different Machine Learning and Deep Learning Approaches Integrated with Genetic Algorithms
G. V. Rajya Lakshmi, Ch. V. M. K. Hari, and K. Venkata Rao

PART II: COMPUTER VISION
7. Video Object Detection Using Convolution Regression with Visual Tracking and SURF Features

Srinivas Bachu and Molagavalli Jhansi

8. Road Anomaly Color Image Detection Based on Dark Channel Prior with Depth Image Model
Naluguru Udaya Kumar, Anumandla Sweatha, and Srinivas Bachu

9. Brain Tumor Detection and Classification Using Hybrid Logistic Regression with GMM Feature Selection
E. Sreenivasulu, Amgoth Harichandar Lal, and Srinivas Bachu

10. Development of CNN-Based Mask Detection Technique Using Python and Tensorflow
Rishu Jeet, Shashank Kumar Dubey, and Aminul Islam

11. Comprehensive Analysis on Multi-Focus Image Fusion: A Survey
Kiran S.

PART III: ELECTRONIC CIRCUITS AND ASSISTIVE TECHNOLOGIES
12. Medical Image Watermarking Using RDWT-SVD-DCT for Secure Medical Data Transmission in Healthcare Systems

I. Adum Babu, B. Sushma Reddy, and Srinivas Bachu

13. An Experimental Study on Convergence Analysis of Modified Particle Swarm Optimization
Bhanu Sekhar Obbu and Zamrooda Jabeen

14. Saliency-Based Bone Fracture Identification Using a Spatio-Temporal Optimization Process
K. Nagabushanam, Kumbham Meghana, and Srinivas Bachu

15. Design of Gate-Based Ternary D-Latch Using Graphene Nano-Ribbon Field Effect Transistors
Vydya Ram Prasad and G. Ravi Kishore

16. A Survey on Various Mobile Adhoc Routing Protocols
S. Hemasri and A. Ranichitra

17. Propagation of Cyber Attacks on a Network
Shiju Rawther and S. Sathyalakshmi

18. Design of a Triple Node Upset Tolerant Nonvolatile Latch
Atharv Kapre, Vaibhav Gupta, Shashank Kumar Dubey, Monalisa Pandey, and Aminul Islam

19. A Technique to Mitigate PVT Variations in Double-Phase Nonoverlapping Clock Generating Circuit
Saianudeep Reddy Nayini, Krishna Sai Kushal Gella, Shashank Kumar Dubey, Manisha Guduri, and Aminul Islam

20. Assistive Technology: Eco-Friendly Battery Powered Autonomous Tongue Controlled Wheel Chair in Obstacle Ridden Environment
P. Samyuktha, Sugamanchi Mahendra Kumar, Kata Rajeshwari, Madduri Srikar, Gadila Swathi, and Bhanu Vamshi Sagar

21. Design of a Low-Cost Wearable System for Long-Term Continuous Heart Rate Monitoring
Kung-Yu Liu, Prasad Ponnapalli, and Amit Krishna Dwivedi

22. Preparation and Mechanical Characterization of Jute Fabric Composites
K. Praveen Kumar, B. H. Sridhar, and S. Surender

23. A Review on Ring Oscillator for High Frequency Applications
Vishnuvardhan Munaganuri, Rishi Raj Tingirkar, Lahari Nalladhimma, Vadakattu Rakesh, and Manisha G.

Index


About the Authors / Editors:
Editors: Manisha Guduri, PhD
Postdoctoral Fellow, University of Louisiana, Lafayette, USA: Formerly Associate Professor and Dean R&D, KG Reddy College of Engineering and Technology, Hyderabad, India

Manisha Guduri, PhD, is currently a full-time Instructor at the University of Louisiana at Lafayette, USA.  She is the author/coauthor of more than 71 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 published five patents out of which two are under FER. She received one patent grant. She is the reviewer of IEEE TVLSI, Microelectronics Journal, IET digital circuits, IEEE Journal of Biomedical and Health Informatics, etc. She has one ongoing funded project from the Department of Science and Technology. Dr. Guduri is a senior member of IEEE, USA. She is also IEEE Lafayette section chair for 2025. She is also currently a member of various IEEE societies such as IEEE Young Professionals, IEEE Women in Engineering, Circuits and Systems, Computer Society, Sensor Council, etc. She is appointed as an IEEE WiE CASS representative for 2023 and 2024. She is an IEEE WiE DL Program Coordinator and IEEE Computer Society Lafayette section Vice Chair for 2024. She has delivered more than 35 invited talks, tutorial speeches, and expert talks in various platforms at international conferences and technical programs. She has organized 10 international conferences under different roles.

Uma Maheswari V, PhD
Associate Professor, Department of Computer Science and Engineering, Chaitanya Bharathi Institute of Technology, Hyderabad, India

V. Uma Maheswari, PhD, is working as an Associate Professor in the Department of Computer Science and Engineering at Chaitanya Bharathi Institute of Technology, Hyderabad. She has published over research articles in SCI, ESCI, WoS, DBLP, and SCOPUS indexed journals and conferences. She has published on book and is the editor of one book on the topic of computer vision and image processing. She is a guest editor for the journal International Journal of Data Analysis Techniques and Strategies (Inderscience). She has published four Indian patents on her PhD work in the fields such as medical, e-commerce, education, and security.  She is a member of IEEE and Vice Chair of the IEEE Robotics and Automation Society, Hyderabad Section. She has done enormous research and given contributions in the field of facial expression analysis and applications. She has delivered sessions at various levels like STTPs, FDPs, and IEEE. Prof. Maheswari is the earlier coordinator for TEDxVCE, has organized various technical programs, and served as a technical committee member and reviewer for the SCI- and Scopus-indexed journals and various conferences. Prof. Maheswari had received a best faculty award for the specific innovations, such as manifest in prototypes, patents, etc. category for the year 2019 by the Computer Society of India, Mumbai chapter.

Rajanikanth Aluvalu, PhD
Professor, Department of IT, Chaitanya Bharathi Institute of Technology, Hyderabad, India

Rajanikanth Aluvalu is a Senior Member of IEEE and is Professor and Head, Department of Information Technology at Chaitanya Bharathi Institute of Technology, Hyderabad, India. Formerly, he had held positions including Professor and Head, Department of Computer Science and Engineering, Vardhaman College of Engineering, Hyderabad; and Vice-chair, Entrepreneurship and Startup Committee and Treasurer and Secretary, IEEE Computer Society, Hyderabad Section. He has more than 17 years of teaching experience. He has also been the co-coordinator for AICTE Margadarshan Scheme, Google Cloud Facilitator, Editor of International Journal of Data Mining, Modelling and Management (Inderscience), and Academic Editor for PeerJ Computer Science Journal. He is also a reviewer for several Scopus- and SCI-indexed journals. He has published more than 90 research articles in various peer-reviewed journals and conferences. He is the recipient of a Best Advisor Award from IEEE Hyderabad Section as well as an IUCEE Faculty Fellow Award (2018). He is a life member of ISTE and member of ACM and MIR Labs. He has organized various international conferences and delivered keynote addresses. He earned his PhD with Cloud Computing as his specialization.

Amit Krishna Dwivedi, PhD
Assistant Professor in Electrical and Electronic Engineering, School of Engineering, University of Warwick, UK

Amit Krishna Dwivedi, PhD, is currently working as an Assistant Professor in Electrical and Electronic Engineering at the School of Engineering, University of Warwick, UK. Before joining the University of Warwick, Dr. Dwivedi was with the Department of Engineering as a Lecturer/Assistant Professor in Electronic and Electrical Engineering at Manchester Metropolitan University, Manchester, UK, and as a researcher with the Diagnostic Imaging Center, Kuopio University Hospital in Finland. From 2015 to 2016, he was a research scholar with the Department of Electrical Engineering, IIT Delhi, India. Dr. Dwivedi has received several awards such as a Certificate of Academic Excellence and the Certificate of Merit for his top academic performances. He was awarded several scholarships, including the Imperial College President’s PhD Scholarship and the GATE Scholarship from All India Council for Technical Education (AICTE), Government of India, for academic years 2013–2015. He has contributed to 33 peer-reviewed research papers in journals and international conferences and has written book chapters. His research interests include biomedical signal processing, machine learning algorithms, and ultra-low power wearable systems for long-term continuous monitoring of physiological signals for early-stage detection of various cardiovascular diseases. Dr. Dwivedi received a “Best Paper Award” for his work at the CCPSAT 2022 conference. He is a fellow of the Higher Education Academy, UK; and a member of IEEE and IET. Dr. Dwivedi received both the BTech and the ME degrees in Electronics Engineering from India, in 2012 and 2015, respectively, and a PhD degree in Electrical and Electronic Engineering while working in the Circuits and Systems Group at Imperial College London, UK.

Martin Margala, PhD
Professor and Director, School of Computing and Informatics, Endowed Chair of Computer Science Eminent Scholar, Fulbright Distinguished Chair, School of Computing and Informatics, University of Louisiana at Lafayette, USA

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 (USA) and a Co-Director of the Center for Smart Cyber-Physical Systems (SCyPS). He is a senior member of Association for Computing Machinery (ACM), IEEE, and SPIE, with more than 100 journal and 200 peer-reviewed conference publications in the areas of design for testability for energy efficient architectures and systems, high-performance reliable low-power architectures, and reconfigurable secure architectures and systems. Dr. Margala has directed 22 PhD students and 19 MS students, many of whom now hold leading positions in academia and industry. He has served on numerous program committees of international conferences and on workgroups (such as the International Technology Roadmap for Semiconductors) that have a great impact on the future direction of academia and industry. He received his PhD degree in Electrical and Computer Engineering from the University of Alberta, Canada.




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