UID:
almahu_9949482363702882
Umfang:
XXIX, 951 p. 322 illus., 271 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2023.
ISBN:
9789811998584
Serie:
Lecture Notes in Networks and Systems, 627
Inhalt:
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.
Anmerkung:
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.
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9789811998577
Weitere Ausg.:
Printed edition: ISBN 9789811998591
Sprache:
Englisch
DOI:
10.1007/978-981-19-9858-4
URL:
https://doi.org/10.1007/978-981-19-9858-4
URL:
Volltext
(URL des Erstveröffentlichers)
