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Recent advances in artificial intell...

International Conference on Recent Advances in Artificial Intelligence and Smart Applications (2024 :)

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Recent advances in artificial intelligence and smart applications = proceedings of RAAISA 2024 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Recent advances in artificial intelligence and smart applications/ edited by Jyotsna K. Mandal, Mike Hinchey, Satyajit Chakrabarti.
Reminder of title:	proceedings of RAAISA 2024 /
remainder title:	RAAISA 2024
other author:	Mandal, Jyotsna Kumar.
corporate name:	International Conference on Recent Advances in Artificial Intelligence and Smart Applications
Published:	Singapore :Springer Nature Singapore : : 2025.,
Description:	x, 495 p. :ill. (chiefly col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence - Congresses. -
Online resource:	https://doi.org/10.1007/978-981-96-5822-0
ISBN:	9789819658220

Recent advances in artificial intelligence and smart applications = proceedings of RAAISA 2024 /
Recent advances in artificial intelligence and smart applicationsproceedings of RAAISA 2024 /[electronic resource] :RAAISA 2024edited by Jyotsna K. Mandal, Mike Hinchey, Satyajit Chakrabarti. - Singapore :Springer Nature Singapore :2025. - x, 495 p. :ill. (chiefly col.), digital ;24 cm. - Lecture notes in networks and systems,v. 13802367-3389 ;. - Lecture notes in networks and systems ;v. 1380..

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.

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.

ISBN: 9789819658220

Standard No.: 10.1007/978-981-96-5822-0doiSubjects--Topical Terms:

606815
Artificial intelligence
--Congresses.

LC Class. No.: Q335

Dewey Class. No.: 006.3

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505 0 $a 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.
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