Soft Computing: Theories and Applications (eBook, PDF)

Proceedings of SoCTA 2024, Volume 1
Redaktion: Kumar, Rajesh; Rajpurohit, Jitendra; Verma, Om Prakash; Verma, Ajit Kumar

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 612
• Erscheinungstermin: 31. August 2025
• Englisch
• ISBN-13: 9789819659586
• Artikelnr.: 75334242

Inhaltsangabe

Chapter 1 :Performance Evaluation of Machine Learning Models on Loan Default Prediction Using Artificial Bee Colony for Feature Selection.- Chapter 2 : YOLO for Urban Traffic: Insights from Helsinki Port Surveillance.- Chapter 3 :Review of Digital and Medical Image-based Compression Techniques.- Chapter 4 :Enhanced Scalable Multicriteria Based Recommendation System Using Fuzzy Clustering.- Chapter 5 :Optimal Soft Computing Surrogate Models: Prediction of Self-Compacting Concrete Strength.- Chapter 6 :Enhanced Recognition of Human Emotion via Multi-modal Inputs using Fusion LSTM++ model.- Chapter 7 :Enhanced Default Risk Assessment: The Integration of Outlier Detection, Borrower Network Similarity, and Explainable AI.- Chapter 8 :Choice of Baseline Model: Impact on Transfer Learning- Based Detection of Diabetic Retinopathy.- Chapter 9 :GNN Based Disease Prediction Model.- Chapter 10 :A survey on Machine Learning Based Reliability Solutions for Engineering Systems.- Chapter 11 :Some Results in Modied Intuitionistic b-Fuzzy Soft Environment.- Chapter 12 :A Optimal Solution for Video Forgery Detection using Optical Flow Method.- Chapter 13 :Impact of color channels on performance of U-Net for blood vessel segmentation.