Emerging Trends in Artificial Intelligence, Data Science and Signal Processing (eBook, PDF)

First International Conference, AIDSP 2023, Kanpur, India, October 20-21, 2023, Proceedings, Part I
Redaktion: Singh, Saurabh; Mulani, Altaf Osman; Rodriguez, Ciro Rodriguez; Arya, Karm Veer

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 196
• Erscheinungstermin: 20. Mai 2025
• Englisch
• ISBN-13: 9783031887598
• Artikelnr.: 74266419

Inhaltsangabe

.- 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.