Machine Learning (Emerging Trends and Applications)

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Dr. Ketan Kotecha‬

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.

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.

BOOK CHAPTER SUBMISSIONS
  • Proposal submissions must be original and must not be under consideration for publication elsewhere.
  • All proposals must follow the guidelines of the template available on the Book Project page.
  • The Review and final Acceptance decisions will be based on relevance, quality, innovative content, and the originality of research approaches and results.
  • Proposals should be submitted via the Online Proposal Submission Form.
APPLY TO CONTRIBUTE TO THIS BOOK
if you want to contribute to this book , you can send your request
Book Information
ISBN: 978-1-8381524-1-3
Important Dates
Proposal Deadline: 20 Nov 2022
Full Chapter Due: 20 Jan 2023
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