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ICT Systems and Sustainability : Proceedings of ICT4SD 2025, Volume 4 / edited by Milan Tuba, Shyam Akashe, Amit Joshi.

Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2026 Available online

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Format:
Book
Author/Creator:
Tuba, Milan.
Series:
Lecture Notes in Networks and Systems, 2367-3389 ; 1648
Language:
English
Subjects (All):
Computational intelligence.
Telecommunication.
Cooperating objects (Computer systems).
Internet of things.
Computational Intelligence.
Communications Engineering, Networks.
Cyber-Physical Systems.
Internet of Things.
Local Subjects:
Computational Intelligence.
Communications Engineering, Networks.
Cyber-Physical Systems.
Internet of Things.
Physical Description:
1 online resource (740 pages)
Edition:
1st ed. 2026.
Place of Publication:
Cham : Springer Nature Switzerland : Imprint: Springer, 2026.
Summary:
This book proposes new technologies and discusses future solutions for ICT design infrastructures, as reflected in high-quality papers presented at the 10th International Conference on ICT for Sustainable Development (ICT4SD 2025), held in Goa, India, on 17–19 July 2025. The 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.
Contents:
Augmented Reality Software for Design and Architecture
Inventory Management Challenges and Solutions for Essential Medicines in Rural Healthcare Facilities
Deep Learning-Based Classification of Spine X-Ray Images Using
V2X Communication for Enhanced Vehicular Safety
Optimization of Routes of SDN Using GNN and DRL
Leveraging Point Cloud Data for Autonomous Vehicle Systems: A Comprehensive Dataset Pipeline and ANN Model
Brain Tumor Recognition and Classification based on MRI Images using deep learning.
Notes:
Description based on publisher supplied metadata and other sources.
Other Format:
Print version: Tuba, Milan ICT Systems and Sustainability
ISBN:
9783032066718
OCLC:
1548324050

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