E-raamat: Advanced Pathways in Electrical, Communication, and Automation: Reconfigurable Systems, Smart Energy, and AI for Industry 5.0

1. Credit Card Fraud Detection 
2. A Hybrid Approach for Cardiovascular
Disease Diagnosis: J48 Classifier 
3. Perinatal Health Surveillance System:
ESP32-Enabled GSM and GPRS Integration for Maternal Monitoring 
4.
Neurodegenerative Disorder Prognostics via Machine Learning: Predictive
Modelling for Parkinsons Disease 
5. Leveraging Machine Learning for
Personalized Medicine using Genomic Insights in Breast Cancer 
6. Analysis of
Earthquake Occurrence and Generating an Alert System Using Machine Learning
Models 
7. Early Prediction and Detection of Chronic Kidney Disease Using
Multi-Input Model 
8. OptiRAG: A Feedback-Driven Approach to Improving
Retrieval-Augmented Generation 
9. Panoramic Image Segmentation on Individual
Object Instances. 
10. Adaptive Energy Efficient Routing in Dynamic Network
with Real Time Optimization 
11. SiteSleuth: Dynamic Keyword Discovery and
Data Scraping Tool 
12. Advanced Early Warning System for Lightning and Heat
Waves Using Deep Learning and Citizen Alerts 
13. Marine Debris Movement
Prediction using Deep Learning and Satellite Imagery 
14. Privacy-Preserving
of Hospital Data using Secure Multi-Party Computation and Federated Neural
Models with Encrypted Inference Aggregation 
15. Mathematical Reasoning
Enhancement Through Fine-tuning: a Comparative Analysis of Gemma-2-2B-IT on
GSM8K 
16. Binary Magnificent Frigatebird Optimization: A Next-Generation
Algorithm for Enhanced Feature Selection and Classification in
High-Dimensional Data 
17. Deep Learning-based Diagnosis and Impact
Visualization of Tuberculosis using CXR Scanned Images 
18. ERP System for
Shopping Mall 
19. Multi-Modal AI Framework for Cardiovascular Risk
Prediction 
20. Skin Disease Classification by Gabor and FCTH Filters with
Ensemble Learning Models: A Machine Learning Approach in Dermatology 
21.
Integration of Feature Fusion Strategy on Efficient net for Skin Cancer
Detection and Classification 
22. Detection of Harmful and Toxic Substances
in Fruits and Vegetables Using Deep Learning 
23. IoT-Integrated Smart Pail
for Water Temperature Management and Other Parameters 
24. Waste
Classification for Smart Recycling Systems: Image-Based Deep Learning with
ResNet-50 CNN 
25. AI Driven Rooftop Solar Panel Suitability Prediction with
GIS based Analysis 
26. Performance Analysis on Enhanced Load Balancing using
Heuristic Algorithms in Cloud Computing 
27. Artificial Intelligence-Driven
Aircraft Maintenance with Real-Time Crack Detection and Predictive Analytics 
28. Measurement of Temperature and Detection of Fire in Hazardous Places
Using a Solar Powered Robotic Electric Vehicle 
29. Study of Dark Current
using CMOS Camera for the Analysis of Solar Activity at KSO 
30. Analyzing
Business Reviews on Yelp: Insights from Data Modeling to NLP 
31.
Combinatorial Testing in the Cloud: Unraveling Paradigms for Modern
Application Development  
32. Implementing Neural Networks in Python and C++:
A Comparative Study 
33. ECG Arrhythmia Classification with CAT-LIGHT: A
Hybrid Ensemble of Catboost and LightGBM
34. Automatic Delay Control Board and GUI Development for Radio Spectrograph 
35. Profiling the Disc in Disc-loaded Waveguide for a Wideband
Gyro-Travelling-Wave Tube 
36. Design and Fabrication of Solar Powered E-bike
for Sustainable Green Transportation 
37. Analysis and Design of
Fixed-Frequency Control for Solar Applications using Phase-Shift Full-Bridge
(PSFB) Resonant Power Converter 
38. IoT Cloud-Based Smart Metering System
for Dynamic Energy Consumption Analysis 
39. Design and Implementation of
Modern IoT-based Solar Powered PV Pumping Systems for Agricultural
Applications 
40. MSAR-Net: A Multi-Scale Residual Network for Automated
Detection of Acute Lymphoblastic Leukemia in Microscopic Blood Smear Images 
41. Single Switch Modified High Gain Boost Converter with Switched Capacitor
Boosting Cell 
42. IoT Based LPG Gas Level Detection and Sensor Alert System
(E-Mail/SMS) 
43. Design and Analysis of High Gain Modified SEPIC using
Voltage Boosting Technique 
44. Sustainable Microgrid Operations through
Renewable Energy and Electric Vehicle Integration Using MPPT Techniques 
45.
Fusion of Ant Colony Optimization and Priority Scheduling Algorithm for
Enhanced Network Efficiency in Next-generation Networks 
46. IoT-Enabled
Low-Cost Data Acquisition System Using STM32 and LabVIEW Visualization 
47.
Developing an Ai-Powered OCR Solution for Digitizing and Enhancing the
Accessibility of Historical Handwritten Documents in Regional Languages 
48.
Reducing Pesticides and Fertilizers using Data-Driven Solutions 
49. ML and
IoT-based Flood-Safe Waterfalls Alert System 
50. In-Wear Exoskeleton for
Arthritis Patients: Flex Based Real-Time Sensing and Detection 
51.
Hydrological Classification Using ML Classification Algorithms 
52.
Prediction of Heart-Attack Stroke and Recommendation System using IoT
Network 
53. Radio Contra Harmonic Mean Graphs in Security Communication 
54.
Advancements in Photonic Biosensor Technologies and Machine Learning
Algorithms for Continuous Glucose Monitoring in Diabetes Management 
55.
Encoding and Decoding Algorithm for Ladder Graph on Root Square Mean
Labeling 
56. Odd Fibonacci Stolarsky-3 Mean Labeling of Intersection Mirror
Lagoon Step Graph and Intersection Opposite Lagoon Step Graph 
57. Spectral
Analysis of the Similarity of Shampoo Ingredients Via Graph Theory 
58.
Advancing Sustainable Mobility: Comparative Analysis of MCDM Methods with
Pilthogenic and Neutrosophic Sets 
59. Beyond Automation: Integrative AI
Architectures for Context-Aware Smart Healthcare Systems 
60.
InscriptionDrafting as a Chief Craft 
61. Eccentric Distance Number and
Eccentric Distance Sequence in Product Graph 
62. Edge Domination
Decomposition Number of Graphs 
63. Exploring Dominator Coloring In Splitting
Graphs of Specific Types of Graphs 
64. Minimum Connected Dominating Energy
of Graphs in Alkane 
65. Accurate Connected Domination in Graphs (ACD) 
66.
Resolving Domination Number of Degree Splitting Graph of a Graph 
67.
Mathematical Modelling for Optimal Control Analysis on Covid-19 Transmission
Dynamics in India 
68. Orthogonal Stability of a Generalized Quadratic
Functional Equation in Fuzzy Normed Linear Spaces 
69. Some Fixed Point
Theorems for Generalized Non-expansive Mappings in Fuzzy Banach Spaces 
70.
Row Column Reduction Method for Solving Solid Transportation Problem 
71.
Fleshing the Land, from Slavery to Climate Crisis: Environmental Injustice
and Embodied Resistance in Toni Morrison and Barbara Kingsolver 
72. A Study
on Awareness and Attitude Toward the Implementation of LMS Among Faculty
Members of Vels Institute of Science, Technology and Advanced Studies
(vistas), Chennai 
73. Reimagining Mythic Femininity: Emerging Cultural Codes
and New Feminist Perspectives on Sita and Goddess Kali 
74. Financial
Literacy and its Impact on Savings and Borrowing Decisions Among Working
Professionals in South Chennai Suburban Area 
75. Prevalence of Neck
Musculoskeletal Disorders during COVID-19 Pandemic in Physiotherapy Students 
76. Comparison of Snag and Myofascial Release Along with Exercises for
Improving Pain and Neck Disability Among Cervicogenic Headache Patients 
77.
Digital Interventions for Adolescent Anxiety Disorders: A Meta Analysis 
78.
Mental Health Outcomes among Frontline Healthcare Workers Post-COVID-19 
79.
Next Generation Automation: The Role of AI in Smart Systems 
80. Decoding
Consumer Behaviour in the Age of Tech-Driven Product Management: Integrating
Marketing, Analytics, and CRM for Competitive Advantage 
81. Strategic
Management in the Digital Age 
82. YogaMate: Posture Detection and Correction
in Yoga Using Mediapipe and Deep Learning 
83. Explainable AI for Early
Identification of Polycystic Ovary Syndrome using a Calibrated Neural
Network 
84. Robust Intrusion Detection for Smart Agriculture Networks using
CatBoost and Adversarial Training 
85. Machine Learning Solutions for
Reducing Childhood Internet Dependency 
86. Automating Test Method Selection
in Software Repositories using NLP-Based Neural Networks 
87. Enhancing
Technology Product Recommendations: A Machine Learning Approach for GPU
Classification Based on Memory Type

Dr. A. Punitha

Professor, Electronics and Communication Engineering, is an accomplished academician with extensive experience in teaching, research, and academic leadership. With a strong background in Electronics and Communication, she has dedicated her career to advancing knowledge in domains such as Embedded Systems, VLSI, Communication Networks, and Automation Technologies. She has successfully guided numerous research projects, fostering innovation and technical excellence among students and scholars. She holds a Ph.D. in Electronics and Communication Engineering and possesses a deep interest in interdisciplinary research areas including Artificial Intelligence, Wireless Communication, and Sensor Networks. Her expertise extends to curriculum design, academic coordination, and the organization of high-impact conferences, seminars, and workshops. As Convenor of PEACE 2025, she has played a pivotal role in bringing together global experts, researchers, and industry professionals on a common platform to share knowledge and collaborate on emerging technologies. Dr. A. Punithas academic achievements, leadership qualities, and commitment to excellence continue to inspire both her peers and students.

Dr. S. Syedakbar , M.E., Ph.D

Assistant Professor, Department of Electronics and Communication Engineering, K. Ramakrishnan College of Technology (Autonomous), Samayapuram, Trichy-621112, Tamil Nadu, India, is an accomplished academician with exceptional expertise and leadership in the field of Electronics and Communication. With extensive experience in academic administration, research, and delivering impactful instruction for academic excellence, he has demonstrated a deep commitment to fostering innovation and quality education. He possesses sound knowledge in education planning, curriculum development, and is well-versed with modern academic frameworks practiced by leading institutions. His exemplary communication, interpersonal, and situational management skills have greatly contributed to the advancement of the department. Dr. S. Syedakbar is a distinguished scholar, researcher, and educator with specialized expertise in cutting-edge domains of electronics, communication systems, and related interdisciplinary areas. With years of dedicated service in both teaching and research, he has made significant contributions towards nurturing young minds, promoting impactful research, and enhancing the academic profile of the department. His vision and dedication continue to inspire students, faculty, and researchers alike.

Dr. S. Jeyasudha

Dr. S. Jeyasudha has achieved her M.E. and Ph.D. degrees in the field of Electrical Engineering, specializing in Power Electronics, Renewable Energy Systems, and Smart Grid Technologies. She has over 20 years of teaching and research experience, with a strong commitment to advancing both academic and industrial applications in the electrical engineering domain. Her research interests include Smart Grids, Renewable Energy Integration, Industrial Automation, Power Electronic Converters, and AI-driven Process Optimization. She has published numerous research papers in reputed International Journals and National/International Conferences, contributing significantly to the fields of sustainable energy and intelligent control systems. In addition, she has been actively involved in organizing academic events, guiding student research, and fostering industry-academia collaborations.She serves as a reviewer and editorial board member for several recognized journals and has reviewed multiple technical papers for IEEE conferences. As Convenor of PEACE 2025, Dr. S. Jeyasudha has played a crucial role in creating a platform that unites researchers, academicians, and professionals to share knowledge, discuss innovations, and address the challenges of the modern engineering landscape.