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Machine Learning, Deep Learning, and Blockchain: Fourth International Research Conference, IRCICD 2023, Chennai, India, April 2829, 2023, Proceedings [Pehme köide]

  • Formaat: Paperback / softback, 115 pages, kõrgus x laius: 235x155 mm, 40 Illustrations, color; 21 Illustrations, black and white; XII, 115 p. 61 illus., 40 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 2385
  • Ilmumisaeg: 17-Apr-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031882369
  • ISBN-13: 9783031882364
  • Pehme köide
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  • Formaat: Paperback / softback, 115 pages, kõrgus x laius: 235x155 mm, 40 Illustrations, color; 21 Illustrations, black and white; XII, 115 p. 61 illus., 40 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 2385
  • Ilmumisaeg: 17-Apr-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031882369
  • ISBN-13: 9783031882364
This book constitutes the refereed proceedings of Fourth International Research Conference on Machine Learning, Deep Learning, and Blockchain, IRCICD 2023, held in Chennai, India, during April 2829, 2023. 



The 9 full papers presented were carefully reviewed and selected from 147 submissions. They were organized in topical sections as follows: machine learning; deep learning; and block chain.
.- Machine Learning.


.- Weakly Supervised Learning for Textual Propaganda Detection on Twitter and
a Multi label Tweet Propaganda Dataset.


.- Interpretability of a Joint Learning Problem.


.- Development of an Intrusion Detection Model Using A Support Vector Machine
To Identify Cyberattacks.


.- Deep Learning.


.- VectorQuest: A Faster and Better Open-Domain Question Answering System.


.- Deep Learning Approach to Indian Sign Language Recognition.


.- False Data Injection Attack Prediction using Federated Deep Learning
Approach.


.- Block chain.


.- Blockchain Ballot : A Secure and Transparent E Voting System.


.- Combination of IoT and Blockchain for Safe Data Management.


.- A Prototype for Secure and Efficient Real Estate Transactions using IPFS
and Blockchain Technology.