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Proceedings of the Sixth International Conference on Trends in Computational and Cognitive Engineering : TCCE 2024 / edited by M. Shamim Kaiser, Anirban Bandyopadhyay, Mufti Mahmud, Kanad Ray.

Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2026 Available online

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Format:
Book
Author/Creator:
Kaiser, M. Shamim.
Series:
Lecture Notes in Networks and Systems, 2367-3389 ; 1588
Language:
English
Subjects (All):
Computational intelligence.
Artificial intelligence.
Signal processing.
Cooperating objects (Computer systems).
Internet of things.
Computational Intelligence.
Artificial Intelligence.
Signal, Speech and Image Processing.
Cyber-Physical Systems.
Internet of Things.
Local Subjects:
Computational Intelligence.
Artificial Intelligence.
Signal, Speech and Image Processing.
Cyber-Physical Systems.
Internet of Things.
Physical Description:
1 online resource (657 pages)
Edition:
1st ed. 2026.
Place of Publication:
Singapore : Springer Nature Singapore : Imprint: Springer, 2026.
Summary:
This book presents various computational and cognitive modeling approaches in the areas of health, education, finance, environment, engineering, commerce and industry. It is a collection of selected conference papers presented at the 6th International Conference on Trends in Cognitive Computation Engineering (TCCE 2024), organized by Amity University Rajasthan, Jaipur, India, during 26 – 27 December 2024. The book shares cutting-edge insights and ideas from mathematicians, engineers, scientists, and researchers and discusses fresh perspectives on problem solving in a range of research areas.
Contents:
A Comprehensive Review on Publicly Available Datasets and ML Approaches Used for Skin Cancer Detection
Exploring Supervised and Semi-supervised Methods on a Bengali News Classification Dataset
Hybrid Deep Learning Model for ECG Classification
Exploring Stacking Algorithm for PCOS Detection
Multimodal Sentiment Analysis A Co-occurrence Network-based Bibliometric Analysis
Leveraging Supervised and Semi-Supervised Learning for Parkinson’s Disease Detection Using Speech Features.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
981-9510-69-4
9789819510696
OCLC:
1555342123

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