[AISWorld] Fwd: Call for Book Chapter in CRC Focus Series
Umakanta Bera
umakantaberacgec2021 at gmail.com
Wed Feb 1 05:45:20 EST 2023
---------- Forwarded message ---------
From: Umakanta Bera <umakantaberacgec2021 at gmail.com>
Date: Wed, Feb 1, 2023 at 4:11 PM
Subject: Call for Book Chapter in CRC Focus Series
To:
Call for Chapter Proposal: Internet of Things based Machine Learning in
Healthcare: Technology and Applications [Publication in CRC Focus Series]
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** Please forward to anyone who might be interested **
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Dear Scientists/Professors/Researchers,
Trust this email finds you in the best of health and spirit.
It is a great pleasure to inform you that we are in the process of editing
a volume titled “Internet of Things based Machine Learning in Healthcare:
Technology and Applications” to be published by CRC Press in 2023.
This book aims to highlight different Internet of Things (IoT) and Machine
Learning (ML) based approaches for sensing, processing, classification,
approximation, prediction, etc. The objective is to demonstrate how they
have been used in the healthcare sector. The aim of this book is to present
state-of-the-art research, which uses ML technologies on IoT-generated
medical data. It will thoroughly analyze the limitations of different ML
prediction algorithms depending on the IoT-generated data. This book is
targeted to overcome these limitations by introducing new ML and IoT
concepts, which will help in optimizing the critical decision-making
processes in the healthcare system.
*Editors of the book are:*
1. Dr. Prasenjit Dey, Assistant Professor, Cooch Behar Government
Engineering College, Coochbehar
2. Dr. Sudip Kumar Adhikari, Assistant Professor, Cooch Behar Government
Engineering College, Coochbehar
3. Dr. Sourav De, Associate Professor, Cooch Behar Government Engineering
College, Coochbehar
4. Mr. Indrajit Kar, Siemens Advanta, Bengaluru, Karnataka
We would like to request you to consider contributing a quality chapter in
the proposed volume to enrich its scholarly content. We invite contributory
chapters for submissions on all topics related to Internet of Things and
machine learning in healthcare. Topics discussed will include, but are not
limited to:
• Deep learning applications in healthcare
• IoT applications in healthcare
• Artificial intelligence and smart computing in IoT based healthcare
• Data analytics and mining in IoT based healthcare support system
• Edge computing in IoT based healthcare support system
• Fog computing in IoT based healthcare support system
• Computer-aided detection and diagnosis using machine learning
• Deep learning in IoT based healthcare support system
• Machine learning in IoT based healthcare support system
• 5G networks, Internet of Things and healthcare: prospective and
potential
• Threats and its impact on IoT based healthcare
• Necessity of information security and privacy in IoT based
healthcare
• Protecting digital information of patients in IoT based healthcare
• Machine learning with noisy and/or sparse medical data/labels
• Unsupervised deep learning for medical analysis
• Supervised deep learning for medical analysis
• Transfer learning for healthcare
• IoT and machine learning in healthcare industry
• Biomedical Engineering
• Application of machine learning and deep learning in medical
science
• Smart Hospitals and Pathological labs with IoT devices.
• Wearable devices and IoT: Applications and constraints
You are requested to submit chapter abstracts in the following mail
address: *prasenjit.dey at cgec.org.in <prasenjit.dey at cgec.org.in>*. It may be
noted that the full chapter submission will be through CRC press* Manuscript
Submission System.*
*Important dates*
· Abstract Submission: 25th February 2023
· Notification of Acceptance of Abstract: 5th March 2023
· Full Chapter Submission: 15th April 2023
· Chapter Review Notification: 15th May 2023
· Interim Version Due: 15th June 2023
· Final Notification: 15th July 2023
· Final Revised Chapter Due: 30th July 2023
· Final Acceptance: 20th August 2023
Please feel free to distribute this information to interested colleagues
and peers.
Best Regards
-------------
*Editors*
Internet of Things based Machine Learning in Healthcare: Technology and
Applications
--
Thanks & Regards,
Mr. Umakanta Bera,
Technical Assistant (WBGS),
Coochbehar Government Engineering College
Coochbehar, W.B., India
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