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| Autore: |
Verma Anshul
|
| Titolo: |
Advanced Network Technologies and Intelligent Computing : Third International Conference, ANTIC 2023, Varanasi, India, December 20-22, 2023, Proceedings, Part II / / edited by Anshul Verma, Pradeepika Verma, Kiran Kumar Pattanaik, Sanjay Kumar Dhurandher, Isaac Woungang
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| Pubblicazione: | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Edizione: | 1st ed. 2024. |
| Descrizione fisica: | 1 online resource (389 pages) |
| Disciplina: | 621.39 |
| 004.6 | |
| Soggetto topico: | Computer engineering |
| Computer networks | |
| Cryptography | |
| Data encryption (Computer science) | |
| Software engineering | |
| Coding theory | |
| Information theory | |
| Computer Engineering and Networks | |
| Cryptology | |
| Software Engineering | |
| Computer Communication Networks | |
| Coding and Information Theory | |
| Altri autori: |
VermaPradeepika
PattanaikKiran Kumar
DhurandherSanjay Kumar
WoungangIsaac
|
| Nota di contenuto: | -- 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. |
| Sommario/riassunto: | 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. |
| Titolo autorizzato: | Advanced Network Technologies and Intelligent Computing ![]() |
| ISBN: | 3-031-64064-0 |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910879595803321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |