Books by Keyword: Machine Learning

Books

Edited by: Dr. Manoj A. Kumbhalkar and Dr. Radheshyam H. Gajghat
Online since: December 2023
Description: ICRAMEN 2023 was a two day event that aimed to showcase state-of-the-art methodologies and technologies in mechanical engineering and nanomaterials. It focused on new ideas to pave the way and disseminate the latest innovations and practices in the related fields. It provided opportunities to network, collaborate, and exchange ideas with renowned leaders, scientists, and researchers in engineering and technology. As a platform for industry and academia fostering innovative ideas, theories, frameworks, and applications, ICRAMEN 2023 encouraged recent and futuristic advancements, challenges, and new strategies in the frontiers of science, engineering and nanomaterials.
Edited by: Assoc. Prof. Dr. Triwiyanto Triwiyanto
Online since: June 2023
Description:

This book highlights actual topics on biomedical engineering and health informatics. The themes were chosen because of the current revolutionary growth and development in medical electronics, and intelligent system in biomedical based on signal and image processing. This edition will be attractive to many researchers in biomedical engineering and will become a beneficial source for future research.
The articles comprised here were selected from the 3rd International Conference on Electronics, Biomedical Engineering, and Health Informatics (ICEBEHI 2022), held on October 04-05, 2022, Surabaya, Indonesia.

Edited by: Dr. S. Prasanna Devi, Dr. G. Paavai Anand, Dr. M. Durgadevi, Dr. Golda Dilip and Dr. S. Kannadhasan
Online since: February 2023
Description: This edition collects the selected peer-reviewed full text papers from the International Research Conference on IoT, Cloud and Data Science (IRCICD'22), held on May 06-07, 2022, in Chennai, India. One of the most significant characteristics of the evolving digital age is the convergence of technologies that includes sensors (Internet of Things: IoT), data storage (cloud), information management (databases), data collection (big data), data applications (analytics), knowledge discovery (data science), algorithms (machine learning), transparency (open data) and API services (micro services, containerization). The Research Conference on IoT, Cloud and Data Science - IRCICD'22 aimed at bringing together researchers from the industry, academicians and business delegates, scholars and graduate students to exchange and share their experiences, new ideas, and research results across aspects of IoT, Cloud and Data Sciences. The conference focused on promoting recent advances and innovation in the field of IoT, Cloud and Data Science.
Edited by: Assoc. Prof. Dr. Triwiyanto Triwiyanto
Online since: March 2022
Description:

This special issue of the "Journal of Biomimetics, Biomaterials and Biomedical Engineering" highlights actual topics in biomedical engineering and health informatics. The themes were chosen because of the current revolutionary growth and development in electronics, communication, methods of signal and image processing, and biomedicine in general. This volume will be attractive for many researchers in biomedical engineering and become a beneficial source in future research.

Edited by: Prof. Abdel-Badeeh Mohamed Salem and Prof. Sergei Gorlatch
Online since: April 2021
Description: This book includes papers presented at the International Conference on Materials, Computer Engineering and Education Technology (MCEET 2020, December 19-20, 2020, China). MCEET 2020 provided an excellent international forum for sharing knowledge and results in materials science, machinery design, robotics and mechatronics, computer engineering, information technologies, and education.
Edited by: Rayner Alfred, Ag. Asri Ag Ibrahim, Joe Henry Obit, Raymond Alfred and Kim On Chin
Online since: June 2019
Description: This book is the proceedings of the Third International Conference on Computational Science and Engineering (ICCSE2018, August 29-30, 2018, Kota Kinabalu, Sabah, Malaysia) and contains the selected peer-reviewed papers which reflect recent achievements in the field of application of the computational methods and algorithms in scientific research and engineering design. We hope that this volume of the journal will be useful, interesting and informative for a wide range of scientists, engineers, and students.
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