Buch, Englisch, Format (B × H): 155 mm x 235 mm
Proceedings of ICT4SD 2026, Volume 7
Buch, Englisch, Format (B × H): 155 mm x 235 mm
Reihe: Lecture Notes in Networks and Systems
ISBN: 978-3-032-44145-4
Verlag: Springer
This book proposes new technologies and discusses future solutions for ICT design infrastructures, as reflected in high-quality papers presented at the 11th International Conference on ICT for Sustainable Development (ICT4SD 2026), held in Goa, India, on 9–11 July 2026. This book covers topics such as big data and data mining, data fusion, IoT programming toolkits and frameworks, green communication systems and network, use of ICT in smart cities, sensor networks and embedded system, network and information security, wireless and optical networks, security, trust, and privacy, routing and control protocols, cognitive radio and networks, and natural language processing. Bringing together experts from different countries, the book explores a range of central issues from an international perspective.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
A Priority Aware Big Data Framework for Industrial IoT Using Fuzzy Logic and LLMs.- Digital Retail for Sustainability A Systematic Literature Review of Consumer Behaviour, Platform Persuasion, and Last Mile Trade Offs.- Enhancing Sustainability Transparency Through Augmented Reality The Impact On Consumer Trust And Green Purchase Intention In The Organic Food Industry.- Multimodal Deepfake Forensics Detecting and Localizing Fake Visual and Audio Content Using Deep Learning Ensembles.- The Effect of Personalized daily Exercise on Stress Reduction and Mental Well being.- The Role of AI in Teaching Ecofeminist Cultural Memory Educational Insights from selected Indian Mythology, Feminist Fiction, and Film.- Secure and Efficient Digital Evidence Management using Blockchain and IPFS.- Designing High Performance Cryptographic Primitives from Permutations for Modern Symmetric Cryptography.- Meeting Transcript Summarization Using Fine Tuned BART A Query Focused Approach on the QMSum Dataset.- Voice Enabled Autonomous AI Shopping Agent VASA Using NLP.




