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Recent Advances in Artificial Intelligence and Smart Applications : Proceedings of RAAISA 2024 / edited by Jyotsna K. Mandal, Mike Hinchey, Satyajit Chakrabarti.

Springer eBooks EBA - Engineering Collection 2025 Available online

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Format:
Book
Author/Creator:
Mandal, Jyotsna K.
Contributor:
Hinchey, Mike.
Chakrabarti, Satyajit.
Series:
Lecture Notes in Networks and Systems, 2367-3389 ; 1380
Language:
English
Subjects (All):
Artificial intelligence.
Computational intelligence.
Telecommunication.
Artificial Intelligence.
Computational Intelligence.
Communications Engineering, Networks.
Local Subjects:
Artificial Intelligence.
Computational Intelligence.
Communications Engineering, Networks.
Physical Description:
1 online resource (625 pages)
Edition:
1st ed. 2025.
Place of Publication:
Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Summary:
This book includes original unpublished contributions presented in the Second International Conference on Recent Advances in Artificial Intelligence and Smart Applications (RAAISA 2024), organized by the Department of CSE, University of Engineering and Management, Kolkata, India, during December 14–15, 2024. The topics covered are progression of artificial intelligence techniques like smart agent-based systems, human–computer interaction technologies, reinforcement learning, sentiment analysis, recurrent neural networks and its applications, genetic algorithms, and neural networks.
Contents:
1. Application of Chaotic Map and DNA Encoding for Securing Stereo Audio Data
2. Designing an Audio CODEC with Synthesizing Generative Adversarial Networks
3. An instant messaging (IM) platform using AI
4. Prediction of Groundwater Depth Using Average Rainfall-Groundwater Correlations in Kolkata, India
5. Improved IoT Network Real-Time Anomaly Detection A Machine Learning Approach to Boosting Security and Performance
6. Leaf Disease Detection Using YOLOv8
7. AI enabled Real-time Next Generation Attendance Monitoring System with Facial Recognition
8. Prediction of Gaze Point using Deep Learning and Raspberry Pi.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
981-9658-22-5
OCLC:
1544974958

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