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dc.contributor.editorNam, Hyoungsik
dc.date.accessioned2022-05-06T11:20:29Z
dc.date.available2022-05-06T11:20:29Z
dc.date.issued2022
dc.identifierONIX_20220506_9783036537535_60
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/80994
dc.description.abstractMachine 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.
dc.languageEnglish
dc.subject.classificationbic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
dc.subject.classificationbic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
dc.subject.otherstar image
dc.subject.otherimage denoising
dc.subject.otherreinforcement learning
dc.subject.othermaximum likelihood estimation
dc.subject.othermixed Poisson–Gaussian likelihood
dc.subject.othermachine learning-based classification
dc.subject.othernon-uniform foundation
dc.subject.otherstochastic analysis
dc.subject.othervehicle–pavement–foundation interaction
dc.subject.otherforest growing stem volume
dc.subject.otherconiferous plantations
dc.subject.othervariable selection
dc.subject.othertexture feature
dc.subject.otherrandom forest
dc.subject.otherred-edge band
dc.subject.otheron-shelf availability
dc.subject.othersemi-supervised learning
dc.subject.otherdeep learning
dc.subject.otherimage classification
dc.subject.othermachine learning
dc.subject.otherexplainable artificial intelligence
dc.subject.otherwildfire
dc.subject.otherrisk assessment
dc.subject.otherNaïve bayes
dc.subject.othertransmission-line corridors
dc.subject.otherimage encryption
dc.subject.othercompressive sensing
dc.subject.otherplaintext related
dc.subject.otherchaotic system
dc.subject.otherconvolutional neural network
dc.subject.othercolor prior model
dc.subject.otherobject detection
dc.subject.otherpiston error detection
dc.subject.othersegmented telescope
dc.subject.otherBP artificial neural network
dc.subject.othermodulation transfer function
dc.subject.othercomputer vision
dc.subject.otherintelligent vehicles
dc.subject.otherextrinsic camera calibration
dc.subject.otherstructure from motion
dc.subject.otherconvex optimization
dc.subject.othertemperature estimation
dc.subject.otherBLDC
dc.subject.otherelectric machine protection
dc.subject.othertouchscreen
dc.subject.othercapacitive
dc.subject.otherdisplay
dc.subject.otherSNR
dc.subject.otherstylus
dc.subject.otherlaser cutting
dc.subject.otherquality monitoring
dc.subject.otherartificial neural network
dc.subject.otherburr formation
dc.subject.othercut interruption
dc.subject.otherfiber laser
dc.subject.othersemi-supervised
dc.subject.otherfuzzy
dc.subject.othernoisy
dc.subject.otherreal-world
dc.subject.otherplankton
dc.subject.othermarine
dc.subject.otheractivity recognition
dc.subject.otherwearable sensors
dc.subject.otherimbalanced activities
dc.subject.othersampling methods
dc.subject.otherpath planning
dc.subject.otherQ-learning
dc.subject.otherneural network
dc.subject.otherYOLO algorithm
dc.subject.otherrobot arm
dc.subject.othertarget reaching
dc.subject.otherobstacle avoidance
dc.titleMachine Learning in Sensors and Imaging
dc.typebook
oapen.identifier.doi10.3390/books978-3-0365-3754-2
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn9783036537535
oapen.relation.isbn9783036537542
oapen.pages302
oapen.place.publicationBasel


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