Machine Learning in Sensors and Imaging (Record no. 2990635)

MARC details
000 -LEADER
fixed length control field 04664naaaa2201177uu 4500
001 - CONTROL NUMBER
control field https://directory.doabooks.org/handle/20.500.12854/80994
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220714171628.0
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number books978-3-0365-3754-2
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783036537535
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783036537542
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.3390/books978-3-0365-3754-2
Terms of availability doi
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title English
042 ## - AUTHENTICATION CODE
Authentication code dc
072 #7 - SUBJECT CATEGORY CODE
Subject category code TB
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code TBX
Source bicssc
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Nam, Hyoungsik
Relator code edt
9 (RLIN) 1585861
245 10 - TITLE STATEMENT
Title Machine Learning in Sensors and Imaging
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Basel
Name of publisher, distributor, etc MDPI - Multidisciplinary Digital Publishing Institute
Date of publication, distribution, etc 2022
300 ## - PHYSICAL DESCRIPTION
Extent 1 electronic resource (302 p.)
506 0# - RESTRICTIONS ON ACCESS NOTE
Terms governing access Open Access
Source of term star
Standardized terminology for access restriction Unrestricted online access
520 ## - SUMMARY, ETC.
Summary, etc Machine learning is extending its applications in various fields, such as image processing, the Internet of Things, user interface, big data, manufacturing, management, etc. As data are required to build machine learning networks, sensors are one of the most important technologies. In addition, machine learning networks can contribute to the improvement in sensor performance and the creation of new sensor applications. This Special Issue addresses all types of machine learning applications related to sensors and imaging. It covers computer vision-based control, activity recognition, fuzzy label classification, failure classification, motor temperature estimation, the camera calibration of intelligent vehicles, error detection, color prior model, compressive sensing, wildfire risk assessment, shelf auditing, forest-growing stem volume estimation, road management, image denoising, and touchscreens.
540 ## - TERMS GOVERNING USE AND REPRODUCTION NOTE
Terms governing use and reproduction Creative Commons
-- https://creativecommons.org/licenses/by/4.0/
-- cc
-- https://creativecommons.org/licenses/by/4.0/
546 ## - LANGUAGE NOTE
Language note English
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Technology: general issues
Source of heading or term bicssc
9 (RLIN) 928609
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element History of engineering & technology
Source of heading or term bicssc
9 (RLIN) 1129967
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Uncontrolled term star image
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Uncontrolled term image denoising
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Uncontrolled term reinforcement learning
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Uncontrolled term maximum likelihood estimation
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Uncontrolled term mixed Poisson-Gaussian likelihood
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Uncontrolled term machine learning-based classification
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Uncontrolled term non-uniform foundation
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Uncontrolled term stochastic analysis
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Uncontrolled term vehicle-pavement-foundation interaction
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Uncontrolled term forest growing stem volume
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Uncontrolled term coniferous plantations
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Uncontrolled term variable selection
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Uncontrolled term texture feature
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Uncontrolled term random forest
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Uncontrolled term red-edge band
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Uncontrolled term on-shelf availability
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Uncontrolled term semi-supervised learning
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Uncontrolled term deep learning
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Uncontrolled term image classification
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Uncontrolled term machine learning
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Uncontrolled term explainable artificial intelligence
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Uncontrolled term wildfire
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Uncontrolled term risk assessment
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Uncontrolled term Naïve bayes
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Uncontrolled term transmission-line corridors
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Uncontrolled term image encryption
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Uncontrolled term compressive sensing
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Uncontrolled term plaintext related
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Uncontrolled term chaotic system
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Uncontrolled term convolutional neural network
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Uncontrolled term color prior model
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Uncontrolled term object detection
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Uncontrolled term piston error detection
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Uncontrolled term segmented telescope
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Uncontrolled term BP artificial neural network
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Uncontrolled term modulation transfer function
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Uncontrolled term computer vision
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Uncontrolled term intelligent vehicles
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Uncontrolled term extrinsic camera calibration
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Uncontrolled term structure from motion
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Uncontrolled term convex optimization
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Uncontrolled term temperature estimation
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Uncontrolled term BLDC
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Uncontrolled term electric machine protection
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Uncontrolled term touchscreen
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Uncontrolled term capacitive
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Uncontrolled term display
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Uncontrolled term SNR
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Uncontrolled term stylus
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Uncontrolled term laser cutting
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Uncontrolled term artificial neural network
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Uncontrolled term burr formation
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Uncontrolled term fiber laser
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Uncontrolled term semi-supervised
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Uncontrolled term fuzzy
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Uncontrolled term noisy
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Uncontrolled term real-world
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Uncontrolled term plankton
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Uncontrolled term marine
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Uncontrolled term activity recognition
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Uncontrolled term wearable sensors
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Uncontrolled term imbalanced activities
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Uncontrolled term sampling methods
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Uncontrolled term path planning
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Uncontrolled term Q-learning
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Uncontrolled term neural network
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Uncontrolled term YOLO algorithm
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Uncontrolled term robot arm
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Uncontrolled term target reaching
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Uncontrolled term obstacle avoidance
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Nam, Hyoungsik
Relator code oth
9 (RLIN) 1585861
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name www.oapen.org
Uniform Resource Identifier <a href="https://mdpi.com/books/pdfview/book/5335">https://mdpi.com/books/pdfview/book/5335</a>
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Public note DOAB: download the publication
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name www.oapen.org
Uniform Resource Identifier <a href="https://directory.doabooks.org/handle/20.500.12854/80994">https://directory.doabooks.org/handle/20.500.12854/80994</a>
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Public note DOAB: description of the publication
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