Cantitate/Preț
Produs

Advanced Network Technologies and Intelligent Computing: Third International Conference, ANTIC 2023, Varanasi, India, December 20-22, 2023, Proceedings, Part II: Communications in Computer and Information Science, cartea 2091

Editat de Anshul Verma, Pradeepika Verma, Kiran Kumar Pattanaik, Sanjay Kumar Dhurandher, Isaac Woungang
en Limba Engleză Paperback – 8 sep 2024
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.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (7) 48761 lei  6-8 săpt.
  Springer Nature Switzerland – 22 mar 2023 69550 lei  3-5 săpt.
  Springer Nature Switzerland – 8 sep 2024 48761 lei  6-8 săpt.
  Springer Nature Switzerland – 4 sep 2024 48809 lei  6-8 săpt.
  Springer Nature Switzerland – 2 sep 2024 48887 lei  6-8 săpt.
  Springer Nature Switzerland – sep 2024 48903 lei  6-8 săpt.
  Springer Nature Switzerland – 22 mar 2023 57740 lei  6-8 săpt.
  Springer International Publishing – 18 feb 2022 81121 lei  6-8 săpt.

Din seria Communications in Computer and Information Science

Preț: 48761 lei

Preț vechi: 60951 lei
-20% Nou

Puncte Express: 731

Preț estimativ în valută:
8627 10066$ 7543£

Carte tipărită la comandă

Livrare economică 17-31 ianuarie 26

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783031640636
ISBN-10: 3031640632
Pagini: 372
Ilustrații: XX, 385 p.
Dimensiuni: 155 x 235 mm
Ediția:2024
Editura: Springer Nature Switzerland
Colecția Springer
Seria Communications in Computer and Information Science

Locul publicării:Cham, Switzerland

Cuprins

.- 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.

Notă biografică