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Computer Vision and Machine Learning for Intelligent Sensing Systems

The reprint offers a selection of high-quality research articles that tackle the major difficulties in computer vision and machine learning for intelligent sensing systems from both theoretical and practical standpoints. This publication includes intelligent sensing techniques, twelve foundational i...

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Salvato in:
Natura: Online
Lingua:inglese
Pubblicazione: MDPI - Multidisciplinary Digital Publishing Institute 2023
Soggetti:
mobile edge computaing
simultaneous wireless information and power transfer
energy minimization
5G
wireless sensing network
IoT
fiber bragg grating
optical fiber sensor
distributed temperature sensor
deep learning algorithms
fully connected neural network
convolutional neural network
MADS dataset
human segmentation
human tracking
convolutional neural networks
targeted advertising
emotion-based recommendation
augmented reality
computer vision
deep learning
clustering
similarity measure
geodesic measure
Euclidean measure
depth fusion
TSDF
sensor noises
gaze estimation based on feature
eye landmark detection
self-attention
synthetic eye images
heuristic attention
perceptual grouping
self-supervised learning
visual representation learning
intelligent sensors
robotics
event-based camera
contrast maximization
optical flow
motion estimation
human action recognition
graph neural network
attention module
big five personality traits
cultural algorithm
hyper-parameter optimization
personality perception
online self-calibration
voxel information
n/a
thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries
thema EDItEUR::U Computing and Information Technology::UY Computer science
Accesso online:ONIX_20230714_9783036578682_102
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Riassunto:The reprint offers a selection of high-quality research articles that tackle the major difficulties in computer vision and machine learning for intelligent sensing systems from both theoretical and practical standpoints. This publication includes intelligent sensing techniques, twelve foundational investigations into sense-making methods, and discusses particular uses of intelligent sensing systems in autonomous driving and virtual reality.

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