Innovations of Intelligent Informatics, Networking, and Cybersecurity (eBook, PDF)

Second International Conference, 3INC 2024, Babylon, Iraq, October 15-16, 2024, Proceedings
Redaktion: Al-Mamory, Safaa O.; Alrashid, Sura Zaki; Al-Ajeli, Ahmed; Abdullah, Alharith A.; Alshamery, Eman S.; Bhaya, Wesam S.; Albahri, Ahmed S.; Kanakis, Triantafyllos; Al-Sherbaz, Ali

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 249
• Erscheinungstermin: 15. Januar 2025
• Englisch
• ISBN-13: 9783031810657
• Artikelnr.: 72838029

Inhaltsangabe

.- 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.