Call for Chapters

Machine Learning (Emerging Trends and Applications)

Editor: 

Dr. Ketan Kotecha‬
Head, Symbiosis Centre for Applied AI ( SCAAI)
Director, Symbiosis Institute of Technology
CEO, Symbiosis Centre for Entrepreneurship and Innovation (SCEI)
Dean, Faculty of Engineering, Symbiosis International (Deemed University)

Call for a book chapter

Use this exclusive opportunity to extend your research work and contribute to our upcoming Open Access book, Machine Learning (Emerging Trends and Applications) with ISBN 978-1-8381524-1-3. Prepare your proposal and submit it via the online submission form. Make sure to stipulate that you agree to publish your chapter as part of the Open Access Book. Upon successful screening by the editorial board to ensure that the proposal adheres to the quality and focus requirements, your proposal will be sent for a double-blind peer-review process. If your book proposal is accepted, you will receive an open-access publication confirmation. You will then work closely with the Book Editor to deliver the final manuscript.

Due to the critical nature of the topic, all publication costs will be covered by Diamond Scientific Publishing, and the book Chapter Authors will not pay any Chapter Processing Fee.

Important Dates

  • Proposals Submission Deadline: 10 November 2020
  • Full Chapters Due: 18 December 2020

About the Book

Use this exclusive opportunity to extend your research work and contribute to our upcoming Open Access book, Machine Learning (Emerging Trends and Applications). Prepare your proposal and submit it via the online submission form. Make sure to stipulate that you agree to publish your chapter as part of the Open Access Book. Upon successful screening by the editorial board to ensure that the proposal adheres to the quality and focus requirements, your proposal will be sent for a double-blind peer-review process. If your book proposal is accepted, you will receive an open-access publication confirmation. You will then work closely with the Book Editor to deliver the final manuscript.

An exceptional scientific revolution in the field of AI and Machine Learning has been instigated recently with the advent of deep learning and high-power graphical processing units. Exploiting such tremendous potential of Machine Learning as part of a digital transformation strategy will be a key component in creating intelligent endeavors of future. Machine Learning has seen exponential rise in the past few years due to its applicability to various aspects of our daily lives. It has proved to play a significant role in serving enterprises re-imagine and re-design their products and services, increase their revenues, realize business efficiencies, and enrich customer experience. Moreover, ML has been able to find solutions to problems which were not available until very recently. Some noteworthy examples being: voice-based assistants such as SIRI, Alexa, autonomous vehicles such as Google Cars, Autonomous drones for defense applications and applications in medical and healthcare domains. The field is growing at a dizzying rate and its very much apt to keep a pace for the same.

ISBN: 978-1-8381524-1-3

The Book will be published in collaboration with Proud Pen, Open Access books Publisher.

Apply to contribute to this book

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