Fr. 97.00

Innovations of Intelligent Informatics, Networking, and Cybersecurity - Second International Conference, 3INC 2024, Babylon, Iraq, October 15-16, 2024, Proceedings

Anglais · Livre de poche

Expédition généralement dans un délai de 6 à 7 semaines

Description

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This book constitutes the proceedings of the Second International Conference on Innovations of Intelligent Informatics, Networking and Cybersecurity, 3INC 2024, which took place in Babylon, Iraq, during October 15-16 2024. 
The 15 full papers included in this volume were carefully reviewed and selected from 69 submissions. They were organized in topical sections as follows: Information systems; computing methodologies; and security and privacy.

Table des matières

.- Information System.
.- Localization in WSNs Based On Machine Learning Approach.
.- Improved Clustering-Based Feature Selection Using Feature Extraction Based On Principal Component Analysis.
.- Computing Methodologies.
.- Real-Time Arabic Speech Recognition from Lips Movement Based On Deep Learning.
.- Parkinson's Disease Prediction and Progression Based On Voice Analysis: A Literature Survey.
.- BGWO-Based Classification of Parkinson's Disease Via MEG Signnals.
.- Enhancing Twitter Comment Classification Using Convolutional Neural Networks and Support Vector Machines.
.- High-Stakes Deception Detection Leveraging 3D Facial Landmarks.
.- Enhancement of Low Light Images Using Residual Deep Learning.
.- Hybrid Model for Hospital Services Quality Prediction Based On Patient Viewpoint.
.- Security and privacy.
.- Advanced Text Vectorization and Deep Learning Models for Enhanced Fake News Detection On Social Media.
.- Utilizing Graph Neural Networks for The Detection of Fake News Through Analysis of Relationships Among Various Social Media Entities.
.- Classification of Internet of Things Cybersecurity Attacks Using a Hybrid Deep Learning Approach.
.- Hybrid Multimodal Biometric Identification System: Integrating Face and Palmprint Traits Through Feature-Level Fusion.
.- Improving Machine Learning-Based Intrusion Detection Systems: A Comparative Study On NSL-KDD Dataset.
.- Enhancing Penetration Testing: Leveraging Machine Learning for Ethical Hacking.

Détails du produit

Collaboration Alharith A. Abdullah (Editeur), Ahmed Al-Ajeli (Editeur), Ahmed S. Albahri (Editeur), Safaa O. Al-Mamory (Editeur), Sura Zaki Alrashid (Editeur), Eman S. Alshamery (Editeur), Ali Al-Sherbaz (Editeur), Wesam S. Bhaya (Editeur), Triantafyllos Kanakis (Editeur), Triantafyllos Kanakis et al (Editeur)
Edition Springer, Berlin
 
Langues Anglais
Format d'édition Livre de poche
Sortie 06.03.2025
 
EAN 9783031810640
ISBN 978-3-0-3181064-0
Pages 249
Dimensions 155 mm x 14 mm x 235 mm
Poids 406 g
Illustrations XIV, 249 p. 107 illus., 84 illus. in color.
Thème Communications in Computer and Information Science
Catégories Sciences naturelles, médecine, informatique, technique > Informatique, ordinateurs > Hardware

Computersicherheit, Penetration Testing, Social Media, Netzwerksicherheit, angewandte informatik, Classification, recognition, Intrusion Detection, Data and Information Security, Computer and Information Systems Applications, Information systems, Computer Engineering and Networks, security and privacy, Computing methodologies, feature selection, Biometric

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