Buch, Englisch, Band 1872, 523 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 809 g
Proceedings of ICTCS 2025, Volume 6
Buch, Englisch, Band 1872, 523 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 809 g
Reihe: Lecture Notes in Networks and Systems
ISBN: 978-3-032-19677-4
Verlag: Springer
This book contains best-selected research papers presented at ICTCS 2025: Tenth International Conference on Information and Communication Technology for Competitive Strategies. The conference is organized in Jaipur, India during 15–17 December 2025. This book covers state-of-the-art as well as emerging topics pertaining to ICT and effective strategies for its implementation for engineering and managerial applications. This book contains papers mainly focused on ICT for computation, algorithms and data analytics and IT security. This book is presented in twelve volumes.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Netzwerksicherheit
- Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
Weitere Infos & Material
Psychological Triggers of Impulse Buying in Online Shopping: Factors and Consumer Behavior Insights.- Determinants of Digital Financial Literacy Among Undergraduate Students.- End-to-End Connectivity and Throughput Testing in a Virtual 5G Network Using Open5GS and UERANSIM.- Next-Gen Solar Tracking for Real-Time Energy Harvesting.- Design And Analysis Of Folding Bike.- Towards Improved Healthcare: Smart Medicine Box for Efficient Medication Management and enhanced patient adherence.- Reconfigurable Intelligent Surface: Emerging Trends and Techniques Shaping Future for Integrated Sensing and Communication.- Autoencoder-Powered Deep Learning Pipeline for Cervical Cancer Prediction with Soft Voting Ensemble.- Rule-Based Bilingual Chatbot for Student Support in Higher Education.- A Student-Centric Event Recommendation System Based on Graph Neural Networks and Contrastive Learning.




