Lal Yadava / Kumar Sethi / Singh Saini | Computing, Communication, And Sustainable Energy Technologies | Buch | 978-1-041-38908-8 | www.sack.de

Buch, Englisch, 550 Seiten, Format (B × H): 210 mm x 280 mm

Reihe: Taylor and Francis Proceedings in Computer Science and Engineering

Lal Yadava / Kumar Sethi / Singh Saini

Computing, Communication, And Sustainable Energy Technologies

Sustainable Electronics and Emerging Energy Technologies (Volume 2)
1. Auflage 2026
ISBN: 978-1-041-38908-8
Verlag: Taylor & Francis Ltd

Sustainable Electronics and Emerging Energy Technologies (Volume 2)

Buch, Englisch, 550 Seiten, Format (B × H): 210 mm x 280 mm

Reihe: Taylor and Francis Proceedings in Computer Science and Engineering

ISBN: 978-1-041-38908-8
Verlag: Taylor & Francis Ltd


This book brings together recent research and innovative ideas that integrate computing, intelligent communication, and energy-efficient electronic technologies to support sustainable development. The volume highlights advancements in sustainable electronic design, renewable energy integration, smart computing approaches, and intelligent communication frameworks. Emphasis is placed on low-power electronics, energy harvesting, IoT-based energy solutions, smart grids, and AI-driven energy management systems that enable environmentally responsible technologies. Key features of this book include:

- An overview of current research trends in sustainable electronics, emerging energy technologies, and intelligent computing and communication systems.

- Practical models, designs, and architectures showcasing real-world applications of energy-efficient and smart electronic systems.

- Discussions on applications in renewable energy systems, smart grids, IoT, electric vehicles, and power-aware intelligent devices.

- Insights into challenges, opportunities, and future research directions in sustainable and energy-aware technologies.

This book is intended for research scholars, academicians, undergraduate and postgraduate students, Ph.D. candidates, industry professionals, engineers, technologists, and researchers who seek to advance their knowledge of sustainable electronics, emerging energy technologies, and intelligent systems for a greener and more energy-efficient future.

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Zielgruppe


Academic and Undergraduate Core

Weitere Infos & Material


Track 1: Signal, Image & Multimedia Processing  1. Universal text-to-speech converter  Track 2: Embedded Systems, IoT & Cyber-Physical Networks  2. Man-in-the-middle & spamming in IOT networks  3. Food quality monitoring system for remote monitoring  4. Brain-machine interaction via an embedded EEG-IoT system 5. Green BinX  Track 3: Antennas, Propagation & Microwave Technologies  6. Polymer based FSS for IOT assisted 6G THz-WBAN applications  7. Smart agriculture: tomato leaf disease monitoring system  Track 4: Cybersecurity, Blockchain & Information Technologies  8. A review on automatic detection of API security in decentralized web3 application  9. Cryptocurrency in emerging economies: adoption factors, challenges, and policy considerations  10. The transformative impact of blockchain: revolutionizing security transparency and decentralization  11. Comparative analysis of iOS and android file structures for DJI drones forensics 12. Detection and prevention of shill bidding in online auctions  13. The classical and quantum inaccuracy-based cybersecurity: the identification techniques for integrated classical and quantum systems  14. Employing AI to strengthen online authentication for customers: a blockchain-based technique to electronic identity management via cybersecurity  15. Creating dynamic cybersecurity in edge computing: application of smart contracts and blockchain technology  16. Application of the internet of things and machine learning for predictive disaster response and real-time environmental monitoring  17. Strengthening data security in decentralized cloud computing: how to use blockchain technology to schedule and allocate resources efficiently  18. Strengthening cybersecurity in autonomous systems: adaptive risk management and real-time threat detection using AI  19. Integrating blockchain & AI to improve distributed storage systems: enhancing cybersecurity and data integrity in cloud environments  20. Blockchain-enabled homomorphic lightweight validation and encryption mechanism for secure data aggregation in edge computing cybersecurity  21. Quantum cryptography and AI integration: quantum-resistant defenses for future communication systems against emerging cyber threats  22. Lightweight cybersecurity protocols for securing resource-constrained IoT devices in smart cities and critical infrastructure  23. Blockchain-driven AI for privacy-preserving healthcare data exchange  24. IoT-ML for smart city traffic management and dynamic routing  25. AI-powered tools automate cybersecurity, cut errors, speed response  26. AI-blockchain for data integrity in cloud storage  27. ML-Driven IoT cybersecurity for personalized smart retail  28. ML for cybersecurity predictions in smart infrastructure  29. Blockchain based electronic health record system  30. ML-enhanced intrusion detection & encryption for IoT  31. Blockchain decentralization for cybersecure digital health records  32. Digital twin boosts cybersecurity in smart manufacturing  33. AI-blockchain boosts secure cyber threat sharing  Track 5: Artificial Intelligence, Machine Learning & Data Science  34. Artificial intelligence techniques for dual-path complaint resolution: a survey on enhancing online indian hotel reservation system response and increase customer satisfaction  35. FITORBIS: AI-powered fitness alarm using skeleton-based action recognition  36. The impact of augmented and virtual reality on brand interaction in online shopping  37. Simulation-driven fault detection in power system: Performance analysis using machine learning models  38. Design and implementation of a light-weight flashcard generator for STEM education  39. Supervised learning based deep learning approach for tracking small vehicular ad hoc objects  40. Smartaccess: a platform for efficient university resource navigation  41. Retrieval-augmented generation: revolutionizing personalized and accessible education  42. HealMe: a personalized therapy assistant  43. Dehazify: an AI powered haze removal application  44. A review on multilingual conversational agents and their applications  45. AI-based traffic control using machine learning and computer vision for smart cities  46. Aspect-based sentiment analysis: evolution of techniques and pathways for future research  47. Assessing awareness and accessibility of government welfare schemes among citizens: a policy implementation perspective  48. Fabricinspect: fabric defect detection system using deep learning  49. Green cement: the emerging horizon for india’s cement industry  50. Graph-based multi-label syndrome classification using attention networks  51. Personalized learning pathways: a review  52. Swasthya Mitra: AI-assisted healthcare companion for rural and underprivileged communities in India  53. From static to dynamic: revolutionizing restaurant pricing strategies  54. A review of digital technologies in elderly care: focus on web-based applications for health management and social support  55. Low-light enhancement of moon surface images: techniques, challenges, and applications  56. Vision based fitness analysis and adaptive health management using deep learning and large language models  57. AI-powered crowdsourcing for effective disaster relief coordination: a systematic review  58. Securevision: A CNN-based review of deep learning frameworks for women’s safety  59. The social impact of citycare: a vision-based pothole detection and geotagging platform for participatory urban governance  60. Impact of machine learning in numerical weather prediction: a study on Indian cities  61. A genetic algorithm driven automatic timetable generation system  62. The forecast factory: enhanced retail sales forecasting using machine learning and insights from festival and discount  63. Ethical implications and societal challenges of AI adoption in developing industries  64. AyurSutra: panchakarma patient management and therapy scheduling software 65. Review of artificial intelligence methods for analyzing wheat pathogen–micro biome interactions  66. Intelligent room security system using computer vision and automated email notifications  67. StayIn: an intelligent accommodation and safety recommendation platform for urban mobility  68. AI enhanced fingerprint generation for antimicrobial drug discovery  69. Internet of things based spatial analysis of air particulate matters  70. Crop prediction and farmer assist device using machine learning  71. Local Sathi: a voice-assisted multilingual rural people’s hyperlocal job search platform  Track 6: Electronic Design, VLSI & Digital Circuits  72. Designing a low-cost fiber prosthetic arm using emg sensors for specially abled human  73. Optimizing Hold Time Violationsin VLSI Physical Design: A Case Study Using Fusion Compiler  Track 7: Cloud, Quantum & Advanced Computing Paradigms  74. Optimizing developer container environments through shared package caches  Track 8: Sustainable Computing, Smart Energy & Green Technologies  75. An adaptive machine learning framework for dynamic HEMO routing in green smart cities  76. Automated waste classification: advances, gaps, and the case for conditional deep learning  77. Smart aquaculture early warning system integrating iot and random forest technique 78. AI driven energy efficiency in smart homes: a comprehensive review of sensor technologies and future directions  79. Comparative review of opportunistic routing protocols for underwater sensor networks  80. Review of challenges and empowerment strategies for local artisans in india: a comparative perspective  Track 9: Miscellaneous and Interdisciplinary Topics  81. Context-aware detection of workplace sexism using transformer-based models  82. Comparative study of crystallization kinetics of Se80Te20-xCux and Se80Te20-xCdx [x=4, 8 and 10] chalcogenide glasses  83. Dynamic quantum round robin scheduling with priority awareness for optimized turnaround and fairness  84. AI-driven multi-modal traffic management: a hierarchical approach for integrated urban mobility  85. Adoption of sustainable digital marketing practices in MSME sector of Uttarakhand, In context to Industry 5.0  86. Gesture-controlled robot for medical assistance using laptop & camera, ESP32, and motor driver  87. Low literacy and educational inequality in semi-urban india: a case study of namauli village, greater noida  88. Techno-economic assessment of a pilot-scale carbon capture and utilization plant for sustainable industrial operation  89. Econometric and system dynamics modeling for short- and long-term energy market analysis


Ram Lal Yadava, Ph.D., is a Professor in the Department of Electronics and Communication Engineering, Galgotias College of Engineering and Technology (GCET), Gr. Noida, U.P, INDIA. He received his doctorate in Electronics Engineering from the IIT-BHU University. He joined VIT University, Vellore, in 2001 and served as Head of the Microwave Division, Coordinator (R&D), and Coordinator (UG) of Electrical Sciences. During his service at VIT University, he was deputed as visiting faculty to Kigali Institute of Science and Technology (KIST), Kigali, Rwanda, Central Africa. He has served as coordinator of M.Tech, HOD, and Head Exams at GCET. Dr. Yadava has organized several guest lectures, short-term training programs, and conferences sponsored by DST and AICTE, Govt. of India, in the field of microwave antennas and wireless & optical communications. His research areas include: microwave antennas and communications. He has guided five Ph.D. scholars, 30 M.Tech students, and several B. Tech projects, and he has 150 publications to his credit.

Anil Kumar Sethi is a Professor in the Department of Mechanical Engineering at Galgotias College of Engineering & Technology, Greater Noida, with over 25 years of teaching and academic experience. He holds a Ph.D. in Mechanical Engineering and an M.E. in Welding Engineering from IIT Roorkee. His academic and research interests include thermal engineering, renewable energy, advanced materials, artificial intelligence applications in engineering, and manufacturing processes. Dr. Sethi has published extensively in reputed international journals and is a German patent holder. He has actively participated in numerous FDPs, workshops, and international conferences. His career reflects strong contributions to teaching, research, and academic leadership.

Amanpreet Singh Saini is an academic professional and researcher with interests in intelligent systems, computing technologies, and applied communication solutions. He has actively contributed to research, technical training, and academic coordination. His involvement in conference organization, editorial support, and scholarly activities reflects his commitment to promoting quality research and innovation in emerging technological domains.



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