Buch, Englisch, 324 Seiten, Format (B × H): 155 mm x 235 mm
ICCCT 2026, Volume 2
Buch, Englisch, 324 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Lecture Notes in Networks and Systems
ISBN: 978-3-032-35840-0
Verlag: Springer
This book gathers selected papers presented at 8th International Conference on Communication and Computational Technologies (ICCCT 2026), jointly organized by Soft Computing Research Society (SCRS) and National Forensic Sciences University Goa Campus, India, during February 13–14, 2026. The book is a collection of state-of-the art research work in cutting-edge technologies related to communication and intelligent systems. The topics covered are algorithms and applications of intelligent systems, informatics and applications, and communication and control systems.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
A Machine Learning and Deep Learning–Based Approach for Real-Time DDoS Attacks Detection in 5G Networks.- AI-Driven Motor Imagery EEG Analysis for Neural-Interface Exoskeleton Control.- Research on the influence of wheel braking torque on the braking quality of 1.25-ton trucks.- Hate Speech Detection in Indic Languages: A Review and Future Directions for Low-Resource Scenarios.- A Cross-Encoder Framework with BERT and Bi-LSTM for Entity Linking with Knowledge Base.- A Survey on Anxiety Detection Using EEG Signals with Artificial Intelligence.- Neural Misinformation Characterization using Transformer Attention Compression.- IVIMS: An Asynchronous Agentic Framework for Real-Time Semantic Visual Profiling in Smart Cities.- A Hybrid Approach of Combining Temporal Difference and Monte Carlo Based Learning for Better Credit Assignment in MountainCar-v0 Environment.- Emerging Deep Learning Paradigms for Automated Plant Disease Classification.- An Optimized Brain Tumor Segmentation using UNet Transformers.- Malicious URL Detection Powered by LLM and Machine Learning Analysis.- A Hybrid Task Scheduling Approach to Optimize Resource Utilization in Cloud Fog Environment.- Noninvasive Soluble Solids Content Prediction in Watermelons Using Hyperspectral Imaging and Chemometric Machine Learning Techniques.- A Practical and Interpretable Multimodal Artificial Intelligence Framework for Early Screening of Parkinson’s Disease.- Etc.




