| Record Type: |
Electronic resources
: Monograph/item
|
| Title/Author: |
Smart trends in computing and communications/ edited by Tomonobu Senjyu, Chakchai So-In, Amit Joshi. |
| Reminder of title: |
proceedings of SmartCom 2024. |
| remainder title: |
SmartCom 2024 |
| other author: |
Senjyu, Tomonobu. |
| Published: |
Singapore :Springer Nature Singapore : : 2024., |
| Description: |
xx, 519 p. :ill. (some col.), digital ;24 cm. |
| [NT 15003449]: |
Chapter 1: A Comprehensive Analysis of Machine Learning Models for IDS -- Chapter 2: An Overview of Artificial Intelligence Applications in Cyber Security Domains -- Chapter 3: Enhancing Security in Wireless Communications through Blockchain and Smart Contracts: A Comprehensive Study -- Chapter 4: Racist And Abusive Memes Classification Using Deep Learning Techniques -- Chapter 5: Comparative study of learning effectiveness across NEPs on network fault correlation -- Chapter 6: Securing Networks: A Machine Learning Approach to Intrusion Detection Systems -- Chapter 7: NL2Code: Harnessing Transformers for Automatic Code Generation from Natural Language Descriptions -- Chapter 8: A Comprehensive Survey and Future Standpoints on Big Data Analytics of Mobile Data -- Chapter 9: An approach to detect violations of Social Distancing norms in the public domain -- Chapter 10: AI Art Authenticator: Deep Learning Image Classification. etc. |
| Contained By: |
Springer Nature eBook |
| Subject: |
Computer networks - Congresses. - |
| Online resource: |
https://doi.org/10.1007/978-981-97-1326-4 |
| ISBN: |
9789819713264 |