04536nam 2201225z- 450 991056648470332120220506(CKB)5680000000037532(oapen)https://directory.doabooks.org/handle/20.500.12854/80994(oapen)doab80994(EXLCZ)99568000000003753220202205d2022 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierMachine Learning in Sensors and ImagingBaselMDPI - Multidisciplinary Digital Publishing Institute20221 online resource (302 p.)3-0365-3753-8 3-0365-3754-6 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.History of engineering & technologybicsscTechnology: general issuesbicsscactivity recognitionartificial neural networkBLDCBP artificial neural networkburr formationcapacitivechaotic systemcolor prior modelcompressive sensingcomputer visionconiferous plantationsconvex optimizationconvolutional neural networkcut interruptiondeep learningdisplayelectric machine protectionexplainable artificial intelligenceextrinsic camera calibrationfiber laserforest growing stem volumefuzzyimage classificationimage denoisingimage encryptionimbalanced activitiesintelligent vehicleslaser cuttingmachine learningmachine learning-based classificationmarinemaximum likelihood estimationmixed Poisson-Gaussian likelihoodmodulation transfer functionNaïve bayesneural networknoisynon-uniform foundationobject detectionobstacle avoidanceon-shelf availabilitypath planningpiston error detectionplaintext relatedplanktonQ-learningquality monitoringrandom forestreal-worldred-edge bandreinforcement learningrisk assessmentrobot armsampling methodssegmented telescopesemi-supervisedsemi-supervised learningSNRstar imagestochastic analysisstructure from motionstylustarget reachingtemperature estimationtexture featuretouchscreentransmission-line corridorsvariable selectionvehicle-pavement-foundation interactionwearable sensorswildfireYOLO algorithmHistory of engineering & technologyTechnology: general issuesNam Hyoungsikedt1322435Nam HyoungsikothBOOK9910566484703321Machine Learning in Sensors and Imaging3034999UNINA