Soft Computing: Theories and Applications
Proceedings of SoCTA 2024, Volume 2
Series: Lecture Notes in Networks and Systems; 1343;
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Product details:
- Publisher Springer Nature Singapore
- Date of Publication 1 September 2025
- Number of Volumes 1 pieces, Book
- ISBN 9789819659548
- Binding Paperback
- No. of pages637 pages
- Size 235x155 mm
- Language English
- Illustrations XIV, 637 p. 198 illus., 175 illus. in color. Illustrations, black & white 683
Categories
Long description:
The book is a collection of high-quality papers presented at the International Conference on Soft Computing: Theories and Applications (SoCTA 2024), held at Malaviya National Institute of Technology (MNIT) Jaipur, Rajasthan, India, during 27–29 December 2024. This book focuses on soft computing and how it can be applied to solve real-world problems arising in various domains, ranging from medicine and healthcare, to supply chain management, image processing, and cryptanalysis. The book offers valuable insights into soft computing for teachers and researchers alike; the book inspires further research in this dynamic field.
MoreTable of Contents:
Chapter 1 :A Comprehensive Study Exploring Probabilistic Fully Degenerate Bell Polynomials Linked to Random Variables.-Chapter 2 :Artificial Neural Network based Prediction of the Atmospheric attenuation and Scattering Coefficient at 1550 nm for Optical Wireless System in Foggy Atmosphere.-Chapter 3 :Early Detection of Alzheimer’s Using Customised Lightweight 3D CNN Architecture.-Chapter 4 :Optimizing Fraud Detection by Integrating Ensemble Methods and Neural Networks.-Chapter 5 :Bus Arrival Time Prediction with LSTM Networks and CTGAN-Augmented Data.-Chapter 6 :A Hybrid Improved Particle swarm optimization and Genetic algorithm for energy efficient task offloading in Industrial IoT.-Chapter 7 :Sign Spotting for Indian Sign Language.-Chapter 8 :A Crowdsourced Localization and Deep Learning-based Visual Fingerprint Update Algorithm of Smart Internet of Vehicles (IoV).-Chapter 9 :Dropout and its role in Neural Networking.-Chapter 10 :An adaptive Statistical Sugeno-Takagi Fuzzy Logic System For Damage.-Chapter 11 :Identification In Structural Elements.-Chapter 12 :E-Commerce Fake Review Detection using Natural Language Processing.-Chapter 13 :A Novel Deep Learning Framework with Global Attention Mechanism for Enhanced Heart Disease Detection and Prediction.-Chapter 14 :Multivariate Data Analysis to Classify Blood Donors Utilizing Supervised Learning Models.-Chapter 15 :Type 2 Diabetes Detection Using a Bio-Inspired Machine Learning Approach.-Chapter 16:Deep Learning Neural Network-Based Evaluation of Neuroimages for Alzheimer's Disease Diagnosis
.-Chapter 17 :Machine Learning-Based Analysis and Detection of Autism Spectrum Disorder.-Chapter 18 :Smart Traffic Control System Leveraging YOLOv8 and OCR for Improved Urban Mobility
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