Swarm Intelligence and Evolutionary Computation: Theory, Advances and Applications in Machine Learning and Deep Learning

Swarm Intelligence and Evolutionary Comp

📁 Swarm Intelligence and Evolutionary Computation: Theory, Advances and Applications in Machine Learning and Deep Learning

✍ Georgios Kouziokas (editor) 📂 Library 📅 2023 🏛 CRC Press 🌐 English

The aim of this book is to present and analyse theoretical advances and also emerging practical applications of swarm and evolutionary intelligence. It comprises nine chapters. Chapter 1 provides a theoretical introduction of the computational optimization techniques regarding the gradient-bas

Swarm Intelligence and Machine Learning:

📁 Swarm Intelligence and Machine Learning: Applications in Healthcare

✍ Manish Gupta (editor), Jitendra Agrawal (editor), Dac-Nhuong Le (editor), Shikha 📂 Library 📅 2022 🏛 CRC Press 🌐 English

Today the healthcare sector is facing challenges such as detecting the cause of ailments, disease prevention, high operating costs, availability of skilled technicians and infrastructure bottlenecks. Intelligent healthcare management technologies are needed to manage these challenges. Healt

Swarm Intelligence and Machine Learning:

📁 Swarm Intelligence and Machine Learning: Applications in Healthcare

✍ Manish Gupta, Jitendra Agrawal, Dac-Nhuong Le, Shikha Agarwal 📂 Library 📅 2022 🏛 CRC Press 🌐 English

Today the healthcare sector is facing challenges such as detecting the cause of ailments, disease prevention, high operating costs, availability of skilled technicians and infrastructure bottlenecks. Intelligent healthcare management technologies are needed to manage these challenges. Healt

Swarm Intelligence and Machine Learning:

📁 Swarm Intelligence and Machine Learning: Applications in Healthcare

✍ Manish Gupta, Jitendra Agrawal, Dac-Nhuong Le, Shikha Agarwal 📂 Library 📅 2022 🏛 CRC Press 🌐 English

Today the healthcare sector is facing challenges such as detecting the cause of ailments, disease prevention, high operating costs, availability of skilled technicians and infrastructure bottlenecks. Intelligent healthcare management technologies are needed to manage these challenges. Healt

Deep Learning Applications, Volume 3 (Ad

📁 Deep Learning Applications, Volume 3 (Advances in Intelligent Systems and Computing)

✍ M. Arif Wani (editor), Bhiksha Raj (editor), Feng Luo (editor), Dejing Dou (edit 📂 Library 📅 2021 🏛 Springer 🌐 English

This book presents a compilation of extended version of selected papers from the 19th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2020) and focuses on deep learning networks in applications such as pneumonia detection in chest X-ray images, object detection and

Deep Learning Theory and Applications (C

📁 Deep Learning Theory and Applications (Communications in Computer and Information Science)

✍ Ana Fred (editor), Carlo Sansone (editor), Kurosh Madani (editor) 📂 Library 📅 2023 🏛 Springer 🌐 English

This book constitutes the refereed post-proceedings of the First International Conference and Second International Conference on Deep Learning Theory and Applications, DeLTA 2020 and DeLTA 2021, was held virtually due to the COVID-19 crisis on July 8-10, 2020 and July 7–9, 2021. The 7 full

Swarm Intelligence and Evolutionary Computation: Theory, Advances and Applications in Machine Learning and Deep Learning

✦ Synopsis