Buch, Englisch, Band 1877, 543 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 832 g
Proceedings of ICTCS 2025, Volume 1
Buch, Englisch, Band 1877, 543 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 832 g
Reihe: Lecture Notes in Networks and Systems
ISBN: 978-3-032-19671-2
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 Informatik Künstliche Intelligenz
- Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Netzwerksicherheit
- Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit
- Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
Weitere Infos & Material
Integral Progression of AI to Deep Learning Algorithmic Sequences for Detection of Liver Cancer.- 10 Gbps RoF Transmission model at 60 GHz using NRZ for 5G Networks.- Emotion Recognition Leveraging Contextual Information from the EMOTIC Dataset.- Innovations in Prime Harmonious Labeling and Their Relevance to Communication Networks.- Machine Learning Approaches for Mitigating Distrib-uted Denial of Service Attacks: A Systematic Review of Advanced Security System.- Capital Structure Strategies: A Comparative Analysis of Indian and U.S. IT Sectors.- Document Image Analysis: A Review of Existing Approaches and Future Scope.- JurisAI: IPC Section Detection System.- The use of Honeypot-based cybersecurity in the construction sector: A Bibliometric Review.- Advancing Sustainable Agriculture through Machine Learning and Deep Learning-Based Crop Yield Prediction.




