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Emerging Trends in Artificial Intelligence, Data Science and Signal Processing : First International Conference, AIDSP 2023, Kanpur, India, October 20–21, 2023, Proceedings, Part I / edited by Saurabh Singh, Karm Veer Arya, Ciro Rodriguez Rodriguez, Altaf Osman Mulani.

Springer Nature - Springer Computer Science (R0) eBooks 2025 English International Available online

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Format:
Book
Contributor:
Singh, Saurabh, Editor.
Arya, Karm Veer, Editor.
Rodriguez, Ciro Rodriguez., Editor.
Mulani, Altaf Osman., Editor.
Series:
Communications in Computer and Information Science, 1865-0937 ; 2439
Language:
English
Subjects (All):
Application software.
Data mining.
Machine learning.
Computer and Information Systems Applications.
Data Mining and Knowledge Discovery.
Machine Learning.
Local Subjects:
Computer and Information Systems Applications.
Data Mining and Knowledge Discovery.
Machine Learning.
Physical Description:
1 online resource (XIV, 196 p. 130 illus., 102 illus. in color.)
Edition:
1st ed. 2025.
Place of Publication:
Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Summary:
The two-volume set, CCIS 2439 and CCIS 2440, constitutes the proceedings of the First International Conference on Emerging Trends in Artificial Intelligence, Data Science and Signal Processing, AIDSP 2023, held in Kanpur, India, in October 2023. The 25 full papers and 11 Short papers in this book were carefully reviewed and selected from 260 submissions. These papers focus on the topics such as Artificial Intelligence, Machine Learning and Signal Processing.
Contents:
Web Based - Application for Result Analysis.
Monitoring mangrove vegetation in undarbans with the help of Remote Sensing.
Face Mask Detection System Using Deep Learning: A comprehensive survey.
Detection of duplicate questions using Universal Sentence Encoder with learning.
Wireless Sensors Based User Authenticated Gun Holster System: Device for Future.
Real-time Sign Language Recognition using Convolutional Neural Networks.
Assessing machine learning methods for segregating functional user requirements and non-functional user requirements.
Smart Traffic Light Management System Using IoT and Deep Learning.
Real-Time Object Detection with Voice Feedback.
Methods of the Automatic Story Development Technique: A Critique.
Performance Analysis of DSR, AODV, AOMDV and DSDV protocols for WSN in TCP and UDP Environments.
A Secure Audio Transmission Method.
A Multi-Classification Model based on Optimization Strategy and Deep Learning Utilizing Leaf Images.
An Automated Parking Assistance and Management System.
A comparative analysis On Recent Developments For Diabetic Retinopathy Detection And Grading In Fundus Images.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
3-031-88759-X
OCLC:
1521254608

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