Muutke küpsiste eelistusi

E-raamat: Advanced Network Technologies and Intelligent Computing: Third International Conference, ANTIC 2023, Varanasi, India, December 20-22, 2023, Proceedings, Part II

Edited by , Edited by , Edited by , Edited by , Edited by
  • Formaat - PDF+DRM
  • Hind: 80,26 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

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.