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Advanced Network Technologies and Intelligent Computing: 4th International Conference, ANTIC 2024, Varanasi, India, December 1921, 2024, Proceedings, Part II [Pehme köide]

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  • Formaat: Paperback / softback, 470 pages, kõrgus x laius: 235x155 mm, 191 Illustrations, color; 163 Illustrations, black and white; XIX, 470 p. 354 illus., 191 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 2334
  • Ilmumisaeg: 11-Mar-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031837894
  • ISBN-13: 9783031837890
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  • Formaat: Paperback / softback, 470 pages, kõrgus x laius: 235x155 mm, 191 Illustrations, color; 163 Illustrations, black and white; XIX, 470 p. 354 illus., 191 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 2334
  • Ilmumisaeg: 11-Mar-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031837894
  • ISBN-13: 9783031837890
This book constitutes the refereed proceedings of the 4th International Conference on Advanced Network Technologies and Intelligent Computing, ANTIC 2024, held in Varanasi, India, during December 1921, 2024.





The 95 full papers and 15 short papers included in this book were carefully reviewed and selected from 507 submissions. They were organized in topical sections as follows: Advance Network Technologies; and Intelligent Computing.
.- Advance Network Technologies..- Ameliorated Standardization Framework
for Post-Quantum Cryptographic Algorithms..- Integrating IoT and Machine
Learning for Human Fall Detection  and Activity Monitoring..- A Novel
Protocol for Authentication and Group Key Distribution for Secure Data
Transmission in VANET Environment Using Theory of Number..- Revolutionizing
Urban Mobility: ZoomBikes..- Lane Detection in Autonomous Vehicles Using
Unsupervised Machine Learning and Light Detection and Ranging..- Secure
Intelligence Development Lifecycle (SIDL) Model for Vulnerability
Detection..- Predictive VM Placement Algorithm for Resource Optimization:
Leveraging Deep Learning Forecasting and Resource Relationship Modeling..-
Analysis of Different Gravity Models to Determine Key Nodes in Social
Networks..- PUF-Based Ownership transfer using Blockchain..- Intelligent
Computing..- Comprehensive Water Quality Analysis and Prediction Using
Ensemble Machine Learning Models..- Efficient Sparse Tensor Core Networks for
Real-Time Insect Classification in Agriculture..- Detection model for
Pulmonary TB on Augmented X-ray Images Enhanced through Histogram
Equalization..- Comparing the Performance of Supervised, Unsupervised and
Hybrid Learning on Medical Insurance Fraud Detection..- Deep-MFR: A Deep
Learning Ensemble Approach for Improved Masked Face Recognition..- Reduced
Kernel Principal Component Analysis approach for Microarray Spot
Classification..- Detection of Vitiligo using Ensemble Learning..-
Integration of Multi-Feature Analysis with Lightweight CNN Model for Heart
Sound Classification..- Vaccine Sentiment Analysis:  A Twitter Study using
NLP and ML approach..- COMPUTER-AIDED DIAGNOSTIC SYSTEM FOR ALZHEIMER'S
DISEASE USING 3D MRI IMAGES..- Impact of Virtual Reality on Cultural
Heritages: Development of Mobile VR Tour of the Museum Site of Chandigarh,
India..- Interpretable Liver Fibrosis Classification Using 1D-CNN..- Software
Defects Prediction using Generative Adversarial Network based Data
Balancing..- CRNet: Convolutive Recurrent Network for Suspect Face
Identification..- Integrating Optimized CNN and Deep CNN Model for Enhanced
Maize Plant Leaf Disease Classification and Prediction Systems..- Lung Region
Segmentation from Chest-Radiographs Using EfficientNetB7..- EnigmaArt: Dual
Image Encryption and Compression via Autoencoding and Pixel Conversion..-
Artificial neural networks with soft attention: Natural language processing
for phishing email detection optimized with modified metaheuristics..- Reddit
Sentiment Analysis Using AWS Services..- Enhancing Security in
Software-Defined Networks: A Machine Learning-Driven Hybrid Intrusion
Detection System with Optimized Feature Selection.