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Soft Computing: Theories and Applications : Proceedings of SoCTA 2025, Volume 2 / edited by Tarun Kumar Sharma, Lipo Wang, Om Prakash Verma, Jitendra Rajpurohit.

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

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Format:
Book
Author/Creator:
Sharma, Tarun Kumar.
Series:
Lecture Notes in Networks and Systems, 2367-3389 ; 1981
Language:
English
Subjects (All):
Computational intelligence.
Artificial intelligence.
Automatic control.
Robotics.
Automation.
Signal processing.
Computational Intelligence.
Artificial Intelligence.
Control, Robotics, Automation.
Signal, Speech and Image Processing.
Local Subjects:
Computational Intelligence.
Artificial Intelligence.
Control, Robotics, Automation.
Signal, Speech and Image Processing.
Physical Description:
1 online resource (659 pages)
Edition:
1st ed. 2026.
Place of Publication:
Cham : Springer Nature Switzerland : Imprint: Springer, 2026.
Summary:
The book is a collection of high-quality papers presented at the International Conference on Soft Computing: Theories and Applications (SoCTA 2025), held at National Institute of Technology Jalandhar, India, during 27–29 December 2025. 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.
Contents:
Comparative Life-Cycle Assessment of HDDs vs SSDs: Energy Efficiency and Carbon Footprint in Data-Centric Workloads
A Committee-Guided Social Algorithm for Few-Feature Selection
Multi-Class Dental Structures Detection via Deep Learning Based Instance Segmentation
Performance Analysis of Range Sensor for Autonomous Mobile Robots in Indoor Environments
Quantifying the Path Dependence Theory in Institutions
The Artificial Intelligence in Marketing Management: The Collaboration of Decision-Makers and Machines
Fractal-Based Statistical Framework for Detecting Unusual Patterns in Blockchain Transactions
An Integrated AI Ecosystem for Emotionally Aware and Productive: “MIRA 1.0”
Enhancing Clinical Reliability in Diabetic Retinopathy Detection
A Sustainable Inventory Framework for Deteriorating Items Considering Inspection, Advanced Payment, and Carbon-Reducing Green Technology Investment
Comparative Analysis of Carbon Footprint Predictions for Electronic Product Categories Using Random Forest, Federated Learning, and Contrastive Learning Models
Real-Time Intraday Trading Using Renko-MACD Strategy: Design, Implementation and Empirical Evaluation
Beyond the Black Box: Counterfactual and Reward-Based Interpretations for Transparent Reinforcement Learning
Real-Time Diabetic Retinopathy Detection using Convolutional Neural Networks
Advanced Machine Learning Models for Prediction, and Performance Optimization in Renewable Energy
A Comparative and Ensemble Learning Approach to Citrus Leaf Disease Classification.
Notes:
Print version record.
Other Format:
Print version: Sharma, Tarun Kumar Soft Computing: Theories and Applications
ISBN:
9783032263735
OCLC:
1610751393

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