E-raamat: Intelligent and Sustainable Systems: AI, Green IoT, and Adaptive Automation in Electrical and Communication Technologies

1. Empirical Evaluation of Lung, Breast, and Skin Cancer using
Image-Based Deep Learning Approaches
2. Crime Awareness Dashboard with Contextual AI Tuning EngineProtego
3. A Vision-Based Learning Aid: Eye-Tracking Technology for Improving Focus
and Handwritten Letter Recognition in Learning Disorders
4. Intelligent Transportation: Automatic Number Plate Detection and
Classification Enhance Traffic Management through Real-Time Automatic Number
Plate Recognition and Classification
5. Machine Learning Models for Accurate Water Quality Classification
6. Securing Healthcare Data with Homomorphic Encryption
7. Agri Sense Aqua Smart Sprinkler
8. Cine Reserve Portal System
9. Mechanic Navigator: Real-Time Location-Based Service to Connect Users with
Nearby Mechanics Using Machine Learning and Geolocation Technology
10. Mango Leaf Disease Detection with AI
11. Machine Learning Algorithm for Early Detection of Deficiency of Vitamin D

12. Smart Matchmaking in the Startup Ecosystem: A Data Driven Strategy for
Bringing Founders and Investors Together
13. Enhancing Short-Term Weather Nowcasting with LSTM Networks
14. Crop Yields and Recommending Fertilizers using Random Forest, Naive
Bayes, and Voting Classifier Algorithms
15. Crop Pest Classification based on CNN and Transfer Learning
16. Leveraging Deep Learning for the Detection of Fleeting Emotions: A
Convolutional Neural Network Approach to Micro-Expression Recognition
17. A Cost-Effective Approach for Pothole Identification in Roadways using
Automated Radar System
18. Smart Farming Assistant for Sustainable Farming
19. AI-Powered Crop Monitoring System
20. Framework for Energy Efficient Resource Management and SLA Violation
Reduction through Negotiation
21. Advanced Detection and Classification of Bell Pepper Leaf Diseases Using
Vision Transformers
22. Speech-To-Speech Translation
23. Intelligent Occupancy Detection for the Indoor Environment for HVAC
Control in a Bright Building Zone Space
24. Diabetic Patient Calorie and Food Management System for the Indian Diet
25. Towards Emotionally Intelligent AI: Enhancing User Experience with
Biometric-Driven Adaptive Responses
26. Analyzing the Impact of Outliers and Dimension for Crop Selection using
Machine Learning Techniques
27. Tremor Track: A Machine Learning Based Earthquake Prediction System
28. Comparative Analysis of NSE Nifty and BSE Sensex Forecasting using ARIMA,
SARIMA and SARIMAX Models
29. Enhanced Query Classification for Malicious SQL Detection Using Ensemble
Learning and Bloom Filter Optimisation
30. Blockchain-Driven Solutions for Smart and Sustainable E-Waste Management

31. Multilingual PDF Translation using IndicTrans
32. Comparative Analysis of the Latest Large Language Models for Natural
Language Processing Tasks
33. Data-Driven Epileptic Seizure Analysis using Random Forest
34. A Study on Machine Learning Approaches for Medicinal Plant Identification

35. SLAM-Based Self-Navigation Robot Using Adaptive Monte Carlo Algorithm
36. AI-Powered Live Human Detection Under Debris: Ensemble YOLOv5 Model
37. Crop-Specific Fertilizer Recommendation using SMOTE based Machine
Learning Models
38. Hybrid Deep Learning Model for Radiomic and Radio Genomic Data:
Predicting
39. Federated Hybrid CNN-ViT Model for Brain Tumor Segmentation
40. Land Usage and Land Cover Classification Using CNN
41. Pneumonia Detection with Explainable AI
42. Simulation-Based Autonomous Lawn Mowing Using Double Deep Q-Network
43. Neuro Vision: Advanced CNN with Feature Pyramid and Attention Mechanisms
for Precise Brain Tumor Classification
44. Performance Analysis of Single-Input Fuzzy-based Variable Speed Wind
Energy System during Symmetrical and Asymmetrical Faults
45. Gambling Mechanics in Mobile Gaming: Impact on Indias Market and
Consumer Behaviour
46. AI-Driven Detection of Anxiety
47. Detection of Anterior Cruciate Ligament Tear using CNN for Diagnostic
Approach 287
48. Hierarchical Evaluation of Advanced Time Series Forecasting Models for
Dynamic Demand Prediction
49. Enhanced E-Learning Environment with Adaptive Content Broadcasting
50. Fall Detection System for Elderly People Using Smartwatch
51. Leveraging Self Supervised Learning for Melanoma Skin Cancer Diagnosis
52. An Agentic Explainable AI System for Agricultural Crop Production
Prediction and Suitability Mapping
53. Smart Emergency Response System for Real-Time Ambulance Dispatch and SOS
Assistance
54. Predictive Analytics of Student Dropouts and Performance Patterns in
Online Learning Courses: A Case Study Across Assessment, Interaction, and
Demographic Data
55. AI Meets Empathy: Voice-Activated Chatbots Revolutionizing Inclusive
Mental Health Care
56. Air-Writing Canvas for Interactive Learning
57. Deep Latent Space Translation for Restoration and Enhancement of Vintage
Photographs
58. Agriculture-Focused Platform to Support the One District, One Product
Initiative
59. Eyes-Free Insight: Unveiling BVIPs Need for Personalized Health
Monitoring System
60. Detecting Autism Spectrum Disorder through Eye-Tracking: A CNN LSTM Model

61. Cyberbullying Detection Using NLP: A Comprehensive Review
62. Beyond GPS: The Future of Navigation with Artificial Intelligence and
Augmented Reality
63. DR- Detection of Diabetic Retinopathy Diagnosis
64. Real-Time Traffic Surveillance System Using YOLO CNN
65. A Comprehensive Review of Machine Learning-Based Sentiment Analysis
66. Creation of an Intelligent Chatbot for the Distribution of Government
Schemes
67. Fault Diagnosis on Wind Turbines Ferni Ukrit M., Sowmmiya U.,
68. Machine Learning Solutions for DDoS Attack Detection in Cloud Computing
Systems
69. Data Analysis and Prediction for Cardiovascular Disease Healthcare use
Case Adopting Cloud Infrastructure
70. Performance Analysis of a Single-Phase Multilevel Converter using
Artificial Intelligence Techniques
71. Privacy-Centric Distributed Storage System with Dynamic Key Encryption
and Optimized Queries
72. Ayurvedic Herb Identification and Classification using Deep Learning
Techniques
73. Real-Time Emotion Detection Using CNN-LSTM with Attention Mechanisms for
Enhanced Accuracy in Video Streams
74. Genetic and Epigenetic-Based Hypoglycemia Prediction for Personalized
Diabetes Management Using Machine Learning
75. Diagnosis, Treatment and Prognosis of Autoimmune Disease Using Lesion
Imaging
76. Adaptive Cognitive Architectures for Enhanced BCI-Digital Twin
Interaction
77. Binary Classification of Cervical Cancer: A Comparative CNN Analysis
78. TalkFusion: Full-Stack Software as a Service AI Platform
79. Deep Learning based Blood Cancer Discerning
80. Green Power EV Charging Stations for Electric Vehicles
81. Vehicle Classification and License Number Plate Recognition Through Deep
Learning Techniques
82. ML for Herpes Simplex Virus Outbreak Prediction and Patient Alert System:
Algorithm Development and Validation Study
83. A Novel Hybrid Approach for Foreground Extraction in Precision
Agriculture
84. A Hybrid Multidimensional Blunt Trauma Analysis Model with Proposed
Treatment using Deep Learning
85. Self-Organising Interaction Spaces: A Framework for Engineering Pervasive
Applications in Mobile and Distributed Environments
86. Ultrasound Nerve Segmentation Using U-Net
87. ReForGenAI: A Generative AI Framework for Automated Micro-Site
Reforestation Planning

Dr. A. Punitha, Faculty, Electronics and Communication Engineering, is an erudite academician and a qualified expert in Network Security and Artificial Intelligence with high calibre and extensive experience of over 20 years in College Administration, Research, and delivering enthusiastic instruction for academic excellence. She has sound exposure to Education Planning and Curriculum Development. Dr. A. Punitha is a distinguished scholar, researcher, and educator with vast experience in both industry and academia. She has made significant contributions to the advancement of cybersecurity, secure network protocols, and intelligent systems. She possesses a sound knowledge of the curriculum practiced by educational institutes and is known for her exemplary communication, interpersonal, and situational evaluation skills.

Dr. S. Syedakbar has achieved his Ph. D. degree in the field of RF and Microwave Engineering. He has 15 years of teaching experience along with intense research interest. His research interests include Antenna Design, Wave Propagation, RF Systems, and Metamaterials. He has enormous publications in International Journals and National/ International Conferences in the areas of advanced antenna technologies and electromagnetic wave propagation. He has also authored several technical books useful for research in the field of electromagnetics and antenna theory and also has 02 granted patents to help the society.

Dr. S. Jeyasudha is a distinguished Professor, 18-year background that uniquely combines 13 years of rigorous academic instruction with 5 years of hands-on industry experience. Her research expertise is both deep and diverse, covering several high-impact areas including VLSI Technology, Power Electronic Converters, Solar PV applications, Modeling and Control strategies, and Embedded System Technologies. As an active researcher and prolific author in these fields, Dr. Jeyasudha has a keen understanding of academic publishing standards and the critical peer-review process. Her extensive experience in academia has further honed her exemplary communication and analytical skills.