Soft Computing: Theories and Applications

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.

• Erscheinungsdatum: 31.08.2025
• Autor/Autorin: Rajesh Kumar
• Reihe: Springer Nature Proceedings excluding Computer Science
• Format: E-Book
• Dateiformat: PDF
• Kopierschutz: Wasserzeichen
• Dateigröße: 39.7 MB
• Verlag: SPRINGER
• Sprache: Englisch
• Umfang: 500 Seiten
• ISBN: 9789819659586
• Lieferung: Sofort per Download
• Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
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