Buch, Englisch, Band 1764, 283 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 458 g
6th International Conference, NTICT 2022, Baghdad, Iraq, November 16-17, 2022, Proceedings
Buch, Englisch, Band 1764, 283 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 458 g
Reihe: Communications in Computer and Information Science
ISBN: 978-3-031-35441-0
Verlag: Springer Nature Switzerland
This book constitutes the refereed proceedings of the 6th International Conference on New Trends in Information and Communications Technology Applications, NTICT 2022, held in Baghdad, Iraq, during November 16–17, 2022.
The 14 full papers included in this book were carefully reviewed and selected from 53 submissions. They were organized in topical sections as follows: computing methodologies; information systems; network; security and privacy.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Computing Methodologies.- Estimating Blur Parameters to Reconstruct the Motion Blurred Images.- Enhancing Service Classification for Network Slicing in 5G using Machine Learning Algorithms.- MesoNet3: A Deepfakes Facial Video Detection Network based on Object behavior analysis.- Computer Vision Techniques for Hand Gesture Recognition: Survey.- A Comprehensive Review in Using the Advances of Deep Learning in the 3D Race Classification.- Multi-Agents as Data Mining Classifiers and Crawlers to Get Intelligent Eadvertisements.- Automated Multi-Style Iraqi Cars License Recognition Based on Convolutional Neural Network Technology.- Information Systems.- Food recommendation system based on data clustering techniques and user nutrition records.- EEG Data Compression Using Tap9/7 Wavelet Transform and Double Shift-Coding.- Network.- Implementation of network slicing for multi-controller environment based on FlowVisor.- Security and privacy.- A Novel Ensemble Method for Network-Based Anomaly Intrusion Detection System.- New Security Mechanism of Health Data Based on Blockchain –NFV.- Use Multichannel EEG-based Biometrics Authentication Signal in Real Time Using Neural Network.- Machine Learning-Based DDoS Attack Detection in Software-Defined Networking.
