Innovations of Intelligent Informatics, Networking, and Cybersecurity - Al-Mamory, Safaa O.; Al-Sherbaz, Ali; Kanakis, Triantafyllos;(szerk.) - Prospero Internetes Könyváruház

 
A termék adatai:

ISBN13:9783031810640
ISBN10:3031810643
Kötéstípus:Puhakötés
Terjedelem:253 oldal
Méret:235x155 mm
Nyelv:angol
Illusztrációk: 92 Illustrations, black & white
700
Témakör:

Innovations of Intelligent Informatics, Networking, and Cybersecurity

Second International Conference, 3INC 2024, Babylon, Iraq, October 15?16, 2024, Proceedings
 
Kiadó: Springer
Megjelenés dátuma:
Kötetek száma: 1 pieces, Book
 
Normál ár:

Kiadói listaár:
EUR 74.89
Becsült forint ár:
32 554 Ft (31 004 Ft + 5% áfa)
Miért becsült?
 
Az Ön ára:

26 043 (24 803 Ft + 5% áfa )
Kedvezmény(ek): 20% (kb. 6 511 Ft)
A kedvezmény érvényes eddig: 2024. december 31.
A kedvezmény csak az 'Értesítés a kedvenc témákról' hírlevelünk címzettjeinek rendeléseire érvényes.
Kattintson ide a feliratkozáshoz
 
Beszerezhetőség:

Még nem jelent meg, de rendelhető. A megjelenéstől számított néhány héten belül megérkezik.
 
  példányt

 
Hosszú leírás:

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.

Tartalomjegyzék:

.- 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.