Machine learning and iot : (Record no. 70726)

000 -LEADER
fixed length control field 03370nam a2200517Ii 4500
001 - CONTROL NUMBER
control field 9781351029940
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 180727s2018 fluab ob 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781351029940
-- (e-book : PDF)
082 04 - CLASSIFICATION NUMBER
Call Number 570.285
245 00 - TITLE STATEMENT
Title Machine learning and iot :
Sub Title a biological perspective /
250 ## - EDITION STATEMENT
Edition statement First edition.
300 ## - PHYSICAL DESCRIPTION
Number of Pages 1 online resource (374 pages) :
505 0# - FORMATTED CONTENTS NOTE
Remark 2 chapter 1 Machine Learning: A Powerful Tool for Biologists -- chapter 2 Mining and Analysis of Bioprocess Data -- chapter 3 Data Mining in Nutrigenomics -- chapter 4 Machine Learning in Metabolic Engineering -- chapter 5 Big Data and Transcriptomics -- chapter 6 Comparative Study of Predictive Models in Microbial-Induced Corrosion -- chapter 7 Application of Data Mining Techniques in Autoimmune Diseases Research and Treatment -- chapter 8 Data Mining Techniques in Imaging of Embryogenesis -- chapter 9 Machine Learning Approach to Overcome the Challenges in Theranostics: A Review -- chapter 10 Emotion Detection System -- chapter 11 Segmentation and Clinical Outcome Prediction in Brain Lesions -- chapter 12 Machine Learning Based Hospital-Acquired Infection Control System -- chapter 13 No Human Doctor: Learning of the Machine -- chapter 14 The IoT Revolution -- chapter 15 Healthcare IoT (H-IoT): Applications and Ethical Concerns -- chapter 16 Brain-Computer Interface -- chapter 17 IoT-Based Wearable Medical Devices -- chapter 18 People with Disabilities: The Helping Hand of IoT -- chapter 19 Smart Analytical Lab -- chapter 20 Crop and Animal Farming IoT (CAF-IoT).
520 3# - SUMMARY, ETC.
Summary, etc This book discusses some of the innumerable ways in which computational methods can be used to facilitate research in biology and medicine - from storing enormous amounts of biological data to solving complex biological problems and enhancing treatment of various grave diseases.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
General subdivision Data processing
700 1# - AUTHOR 2
Author 2 Datta, Leonid,
700 1# - AUTHOR 2
Author 2 Sen, Shampa,
700 1# - AUTHOR 2
Author 2 Mitra, Sayak,
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://www.taylorfrancis.com/books/9781351029940
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Boca Raton, FL :
-- CRC Press, an imprint of Taylor and Francis,
-- 2018.
336 ## -
-- text
-- rdacontent
337 ## -
-- computer
-- rdamedia
338 ## -
-- online resource
-- rdacarrier
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Bioinformatics
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Biology
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
-- NATURE / Reference.
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
-- SCIENCE / Life Sciences / Biology.
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
-- SCIENCE / Life Sciences / General.
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
-- MEDICAL / Biotechnology.
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
-- MEDICAL / Hospital Administration & Care.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Bioprocess Data.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Brain Computer Interface.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Healthcare Iot.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Machine Learning.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Nutrigenomics.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Transcritomics.

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