Verma / Pattanaik / Dhurandher Advanced Network Technologies and Intelligent Computing

Third International Conference, ANTIC 2023, Varanasi, India, December 20-22, 2023, Proceedings, Part II
Erscheinungsjahr 2024
ISBN: 978-3-031-64064-3
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 2091, 372 Seiten, eBook

Reihe: Communications in Computer and Information Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Verma, Anshul

Verma, Pradeepika

Pattanaik, Kiran Kumar

Dhurandher, Sanjay Kumar

Woungang, Isaac

Inhaltsverzeichnis

.- 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 Alzheimer’s Victims.

Über Autor(innen)