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Innovations of Intelligent Informatics, Networking, and Cybersecurity

Second International Conference, 3INC 2024, Babylon, Iraq, October 15–16, 2024, Proceedings
Buch | Softcover
XX, 229 Seiten
2025
Springer International Publishing (Verlag)
978-3-031-81064-0 (ISBN)
CHF 104,80 inkl. MwSt
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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.

.- 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.

Erscheint lt. Verlag 4.2.2025
Reihe/Serie Communications in Computer and Information Science
Zusatzinfo XX, 229 p.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Weitere Themen Hardware
Schlagworte Biometric • classification • Computing Methodologies • Feature Selection • information systems • Intrusion Detection • Penetration Testing • Recognition • Security and Privacy • Social Media
ISBN-10 3-031-81064-3 / 3031810643
ISBN-13 978-3-031-81064-0 / 9783031810640
Zustand Neuware
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