Punitha / Syedakbar / Jeyasudha | Intelligent and Sustainable Systems | Buch | 978-1-041-29904-2 | www.sack.de

Buch, Englisch, 582 Seiten, Format (B × H): 210 mm x 280 mm, Gewicht: 1240 g

Punitha / Syedakbar / Jeyasudha

Intelligent and Sustainable Systems

AI, Green IoT, and Adaptive Automation in Electrical and Communication Technologies
1. Auflage 2026
ISBN: 978-1-041-29904-2
Verlag: Taylor & Francis

AI, Green IoT, and Adaptive Automation in Electrical and Communication Technologies

Buch, Englisch, 582 Seiten, Format (B × H): 210 mm x 280 mm, Gewicht: 1240 g

ISBN: 978-1-041-29904-2
Verlag: Taylor & Francis


The International Conference Proceedings in Pathway of Electrical, Automation, Communication, and Electronics (PEACE-2025) s a premier platform dedicated to addressing the latest advancements, trends, and challenges in these rapidly evolving fields. As industries move towards intelligent automation, sustainable energy solutions, advanced communication networks, and AI-driven electronic systems, this conference aims to bridge the gap between academic research and industrial applications. The scope of this conference extends across diverse areas, including but not limited to: Electronics & Embedded Systems: Next-generation semiconductor technologies, VLSI, embedded AI, and sensor networks. Electrical Engineering & Power Systems: Smart grids, renewable energy integration, power electronics, and energy-efficient systems. Automation & Control Systems: Industrial automation, robotics, IoT in automation, and AI-driven process optimization. PEACE-2025 fosters interdisciplinary research and stands out due to: A Holistic Approach: Encouraging cross-domain discussions that bridge gaps between theory, practical applications, and future technological disruptions. Focus on Emerging Trends: Addressing cutting-edge topics such as AI-driven automation, sustainable power solutions, next-gen wireless communication, and Industry 4.0 transformations.

Punitha / Syedakbar / Jeyasudha Intelligent and Sustainable Systems jetzt bestellen!

Zielgruppe


Academic and Undergraduate Core

Weitere Infos & Material


1. Empirical Evaluation of Lung, Breast, and Skin Cancer using Image-Based Deep Learning Approaches

2. Crime Awareness Dashboard with Contextual AI Tuning Engine—Protego

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 India’s 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.



Ihre Fragen, Wünsche oder Anmerkungen
Vorname*
Nachname*
Ihre E-Mail-Adresse*
Kundennr.
Ihre Nachricht*
Lediglich mit * gekennzeichnete Felder sind Pflichtfelder.
Wenn Sie die im Kontaktformular eingegebenen Daten durch Klick auf den nachfolgenden Button übersenden, erklären Sie sich damit einverstanden, dass wir Ihr Angaben für die Beantwortung Ihrer Anfrage verwenden. Selbstverständlich werden Ihre Daten vertraulich behandelt und nicht an Dritte weitergegeben. Sie können der Verwendung Ihrer Daten jederzeit widersprechen. Das Datenhandling bei Sack Fachmedien erklären wir Ihnen in unserer Datenschutzerklärung.