Soft Computing: Theories and Applications : Proceedings of SoCTA 2020, Volume 2
Soft Computing: Theories and Applications : Proceedings of SoCTA 2020, Volume 2
edited by Tarun K. Sharma, Chang Wook Ahn, Om Prakash Verma, Bijaya Ketan Panigrahi.
- First edition 2021
- 1 recurso en línea (XX, 587 páginas) 263 ilustraciones, 188 ilustraciones a color
- Advances in Intelligent Systems and Computing 1381 2194-5365 Intelligent Technologies and Robotics (SpringerNature-42732) Intelligent Technologies and Robotics (R0) (SpringerNature-43728) .
A study on the Effect of Optimal Control Strategies: An SIR Model with Delayed Logistic Growth -- Emperor Penguin Optimized Clustering for Improved Multilevel Hierarchical Routing in Wireless Sensor Networks -- A Collaborative Filtering based Recommendation System for Preliminary Detection of COVID-19 -- Frequencies of nonuniform triangular plate with two-dimensional parabolic temperature -- Machine Learning in Finance: Towards Online Prediction of Loan Defaults Using Sequential Data with LSTMs.
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. It gathers high-quality papers presented at the International Conference on Soft Computing: Theories and Applications (SoCTA 2020), organized online. The book is divided into two volumes and offers valuable insights into soft computing for teachers and researchers alike; the book will inspire further research in this dynamic field.
9789811616969
10.1007/978-981-16-1696-9 doi
Informática
QA76.9.S63 / 2021 EB
A study on the Effect of Optimal Control Strategies: An SIR Model with Delayed Logistic Growth -- Emperor Penguin Optimized Clustering for Improved Multilevel Hierarchical Routing in Wireless Sensor Networks -- A Collaborative Filtering based Recommendation System for Preliminary Detection of COVID-19 -- Frequencies of nonuniform triangular plate with two-dimensional parabolic temperature -- Machine Learning in Finance: Towards Online Prediction of Loan Defaults Using Sequential Data with LSTMs.
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. It gathers high-quality papers presented at the International Conference on Soft Computing: Theories and Applications (SoCTA 2020), organized online. The book is divided into two volumes and offers valuable insights into soft computing for teachers and researchers alike; the book will inspire further research in this dynamic field.
9789811616969
10.1007/978-981-16-1696-9 doi
Informática
QA76.9.S63 / 2021 EB