UID:
almahu_9950000754402882
Umfang:
XII, 115 p. 61 illus., 40 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2025.
ISBN:
9783031882371
Serie:
Communications in Computer and Information Science, 2385
Inhalt:
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 28-29, 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.
Anmerkung:
-- 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.
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9783031882364
Weitere Ausg.:
Printed edition: ISBN 9783031882388
Sprache:
Englisch
DOI:
10.1007/978-3-031-88237-1
URL:
https://doi.org/10.1007/978-3-031-88237-1
Bookmarklink
