Muutke küpsiste eelistusi

Advanced Network Technologies and Intelligent Computing: 4th International Conference, ANTIC 2024, Varanasi, India, December 1921, 2024, Proceedings, Part IV [Pehme köide]

Edited by , Edited by , Edited by , Edited by , Edited by
  • Formaat: Paperback / softback, 380 pages, kõrgus x laius: 235x155 mm, 123 Illustrations, color; 19 Illustrations, black and white; XIX, 380 p. 142 illus., 123 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 2336
  • Ilmumisaeg: 05-Mar-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031837959
  • ISBN-13: 9783031837951
Teised raamatud teemal:
  • Pehme köide
  • Hind: 71,86 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Tavahind: 84,54 €
  • Säästad 15%
  • Raamatu kohalejõudmiseks kirjastusest kulub orienteeruvalt 2-4 nädalat
  • Kogus:
  • Lisa ostukorvi
  • Tasuta tarne
  • Tellimisaeg 2-4 nädalat
  • Lisa soovinimekirja
Advanced Network Technologies and Intelligent Computing: 4th International Conference, ANTIC 2024, Varanasi, India, December 1921, 2024, Proceedings, Part IVSuurem pilt
  • Formaat: Paperback / softback, 380 pages, kõrgus x laius: 235x155 mm, 123 Illustrations, color; 19 Illustrations, black and white; XIX, 380 p. 142 illus., 123 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 2336
  • Ilmumisaeg: 05-Mar-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031837959
  • ISBN-13: 9783031837951
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783031837951.html
Märksõnad:
This book constitutes the refereed proceedings of the 4th International Conference on Advanced Network Technologies and Intelligent Computing, ANTIC 2024, held in Varanasi, India, during December 1921, 2024.





The 95 full papers and 15 short papers included in this book were carefully reviewed and selected from 507 submissions. They were organized in topical sections as follows: Advance Network Technologies; and Intelligent Computing.
.- Intelligent Computing..- DDoS Attack Detection Using Explainable AI
in Machine Learning..- XcUNet for Skin Lesion Segmentation followed by
 Clustering based Post-processing..- Exploratory Study on Different
Transformer Models..- VisionLingua: Empowering Multimodal Understanding with
Cutting-Edge Language Models..- Human Action Recognition using Mediapipe
Holistic Keypoints: A Deep Learning Approach..- Machine Learning for
Waste-to-Energy: Optimization and Predictive Analytics..- Enhanced Traffic
Forecasting for Urban planning  Using DeepWalk Embeddings and
 Spatio-Temporal Graph Ordinary Differential  Equation model..- Fault
Detection in Semiconductor Manufacturing Using Advanced Machine Learning
Techniques with Interpretability..- Fine-Tuning RetinaNet for  Few-Shot Fruit
Detection..- Smart Street: AI-Powered Traffic Flow Enhancement with Adaptive
Signal Control..- A Hybrid Machine Learning Approach for  Accurate Milk
Quality Classification..- Designing VoiceGPT Chatterbox Concierge: A Personal
AI Assistant for Daily Services using Supervised Machine Learning Based
Speech Recognition Techniques..- Improved Classification Techniques Using
Convolutional  Neural Networks for Rice Plant Disease Detection..- Enhancing
Customer Segmentation and Behavior Prediction through Machine Learning and
Medium Gaussian SVM..- Grapevine SDLC Model for Real-Time Fake News
Classification..- Detecting AI-Generated Text Using Fine-Tuned Transformers:
A Study on Academic Integrity..- MoReco: AI Model Recommendation and
Optimization for B5G Networks..- File Prefetching Accuracy Enhancement using
Deep Learning Approaches..- Mamba based conditional GAN for optical cloud
removal of satellite images..- A hybrid quantum machine learning model for
multi-class classifier..- Adaptive Resource Management in Massive
Machine-Type Communications Using Reinforcement Learning..- Advanced Machine
Learning and Features based Data Analytics of Electricity Consumption in USA
and India..- Cross-Domain Adversarial Attacks and Defense Mechanisms in
Multimodal Neural Networks..- Deep Feature Fusion of Local and Global
Patterns for Early Detection of Lung Abnormalities in Chest X-Rays.