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Advanced Network Technologies and Intelligent Computing: Third International Conference, ANTIC 2023, Varanasi, India, December 20-22, 2023, Proceedings, Part II 2024 ed. [Pehme köide]

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  • Formaat: Paperback / softback, 372 pages, kõrgus x laius: 235x155 mm, 136 Illustrations, color; 32 Illustrations, black and white; XXI, 372 p. 168 illus., 136 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 2091
  • Ilmumisaeg: 26-Jul-2024
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031640632
  • ISBN-13: 9783031640636
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  • Formaat: Paperback / softback, 372 pages, kõrgus x laius: 235x155 mm, 136 Illustrations, color; 32 Illustrations, black and white; XXI, 372 p. 168 illus., 136 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 2091
  • Ilmumisaeg: 26-Jul-2024
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031640632
  • ISBN-13: 9783031640636
The 4-volume proceedings set CCIS 2090, 2091,2092 and 2093 constitute the refereed post-conference proceedings of the Third International Conference on Advanced Network Technologies and Intelligent Computing, ANTIC 2023, held in Varanasi, India, during December 20-22, 2023.





The 87 full papers and 11 short papers included in this book were carefully reviewed and selected from 487 submissions. The conference papers are organized in topical sections on: 





Part I - Advanced Network Technologies.





Part II - Advanced Network Technologies; Intelligent Computing.





Part III - IV - Intelligent Computing.
.- Advanced Network Technologies. 



.- An Insider Threat Resilient Framework Based on Honey Traps in a
Function-Based Access Control Environment.



.- Performance comparison of QoS aware power allocation and optimization
techniques for the small-cell 5G networks.



.- Reduced Competitive ratio of Sparse Semi-oblivious routing using social
spider algorithm.



.- Underwater Wireless Sensor Network Based on Mulithop Transmission using
Ant Colony Optimization Algorithm.



.- Detection of Malicious Network Traffic Attacks using Support Vector
Machine.



.- IoT Based Safety Monitoring and Communication System for Underground Coal
Mines.



.- Enhancing Network Security: A Hybrid Approach for Detection and Mitigation
of Distributed Denial-of-Service Attacks Using Machine Learning.



.- A Comparative Study of Low Power Wide Area Network Technologies for Smart
Agriculture.



.- OpenGNN: Augmenting Graph Neural Networks for Open-Set Node Prediction in
Complex Networks.



.- Optimizing Amazon SageMaker Workloads with Predictive Compute Type
Selection Strategies.



.- Threshold Based VM Placement Using MAD and IQR.



.- On Designing an Intelligent Shipping Algorithm for  Decentralized
E-Commerce Systems.



.- PwnShield: An Automated Approach To Detect And Exploit Buffer Overflows
And Bypassing Modern Mitigation Techniques.



.- Analysis of the Impacts of Flooding-based DDoS Attacks on SDN-enabled
Cloud.



.- Tree Topologies and Node Covers for Efficient Communication in Wireless
Sensor Networks.



.- Binary Computation Offloading in Edge Computing using Deep Reinforcement
Learning.



.- Data Agent-Based Volumetric Progress Monitoring over Mobile Ad-hoc Network
in Disaster Management.



.- Intelligent Computing. 



.- Deep Neural Networks for efficient Image Caption Generator.



.- Computing Social Presence in Online Discussions Using Natural Language
Processing Algorithms: A Conceptual Proposal in Python.



.- Applications of Data Science and Machine Learning for Combating COVID-19.



.- Hate Speech Detection in Audio using SHAP - An Explainable AI.



.- Distributed Random Forest for Predicting Forest Wildfires Based on Weather
Data.



.- Audio-text Retrieval: Exploring Shared Parameters and Intra-Modal
Constraint Loss.



.- Grey Wolf Optimization based Hyper-Parameter Optimized Deep EfficientNet
for Chest X-Ray based Detection of COVID-19.



.- An Assorted Ensemble Method for Prediction of Terminal Care Preference by
Caregivers of Alzheimers Victims.