Description

Book Synopsis

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 health care, to supply chain management, image processing and cryptanalysis. It gathers high-quality papers presented at the International Conference on Soft Computing: Theories and Applications (SoCTA 2022), held at University Institute of Technology, Himachal Pradesh University Shimla, Himachal Pradesh, India. The book offers valuable insights into soft computing for teachers and researchers alike; the book inspires further research in this dynamic field.



Table of Contents
Chapter 1. A CNN-based Approach for Facial Emotion Detection.- Chapter 2. Implementation of Artificial Neural Network for Demanufacturing Operation in the Rail Industry.- Chapter 3. Diversified Recommendation Generation using Graph Convolution Neural Network.- Chapter 4. Brain Tumor detection with GLCM feature extraction and hybrid classification approach.- Chapter 5. Optimization of an inventory model with selling price and stock sensitive demand along with trade credit policy.- Chapter 6. A new family of generalized Euler-Genocchi polynomials associated with Hermite polynomials.- Chapter 7. 6G-Enabled Internet of Medical Things.- Chapter 8. An Inductively Degenerated LNA for ISM Applications: Design & Performance Comparison.- Chapter 9. Prostate Cancer Risk Analysis Using Artificial Neural Network.- Chapter 10. On two bivariate kinds of (p; q)-Euler polynomials.- Chapter 11. Different stages of Watermelon Diseases Detection Using optimized CNN.- Chapter 12. Machine Learning: An Analytical Approach for Pattern Detection in Diabetes.- Chapter 13. A Dynamic Weighted Federated Learning for Android Malware Classification.- Chapter 14. Entropy measure for the linguistic q-rung orthopair fuzzy set.- Chapter 15. Empirical Analysis of Unsupervised Link Prediction Algorithms in Wighted Networks.

Soft Computing: Theories and Applications:

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A Paperback / softback by Rajesh Kumar, Ajit Kumar Verma, Tarun K. Sharma

3 in stock


    View other formats and editions of Soft Computing: Theories and Applications: by Rajesh Kumar

    Publisher: Springer Verlag, Singapore
    Publication Date: 25/04/2023
    ISBN13: 9789811998577, 978-9811998577
    ISBN10: 9811998574

    Description

    Book Synopsis

    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 health care, to supply chain management, image processing and cryptanalysis. It gathers high-quality papers presented at the International Conference on Soft Computing: Theories and Applications (SoCTA 2022), held at University Institute of Technology, Himachal Pradesh University Shimla, Himachal Pradesh, India. The book offers valuable insights into soft computing for teachers and researchers alike; the book inspires further research in this dynamic field.



    Table of Contents
    Chapter 1. A CNN-based Approach for Facial Emotion Detection.- Chapter 2. Implementation of Artificial Neural Network for Demanufacturing Operation in the Rail Industry.- Chapter 3. Diversified Recommendation Generation using Graph Convolution Neural Network.- Chapter 4. Brain Tumor detection with GLCM feature extraction and hybrid classification approach.- Chapter 5. Optimization of an inventory model with selling price and stock sensitive demand along with trade credit policy.- Chapter 6. A new family of generalized Euler-Genocchi polynomials associated with Hermite polynomials.- Chapter 7. 6G-Enabled Internet of Medical Things.- Chapter 8. An Inductively Degenerated LNA for ISM Applications: Design & Performance Comparison.- Chapter 9. Prostate Cancer Risk Analysis Using Artificial Neural Network.- Chapter 10. On two bivariate kinds of (p; q)-Euler polynomials.- Chapter 11. Different stages of Watermelon Diseases Detection Using optimized CNN.- Chapter 12. Machine Learning: An Analytical Approach for Pattern Detection in Diabetes.- Chapter 13. A Dynamic Weighted Federated Learning for Android Malware Classification.- Chapter 14. Entropy measure for the linguistic q-rung orthopair fuzzy set.- Chapter 15. Empirical Analysis of Unsupervised Link Prediction Algorithms in Wighted Networks.

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