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Computer Vision and Machine Learning for Intelligent Sensing Systems
Jing Tian (editor)
2023
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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.
This book is included in DOAB.
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Keywords
- 5G
- attention module
- augmented reality
- Big Five personality traits
- Clustering
- Computer science
- Computer vision
- Computing & information technology
- contrast maximization
- convolutional neural network
- convolutional neural networks
- cultural algorithm
- deep learning
- Deep Learning Algorithms
- depth fusion
- distributed temperature sensor
- Economics, finance, business & management
- emotion-based recommendation
- energy minimization
- Euclidean measure
- event-based camera
- eye landmark detection
- fiber Bragg grating
- fully connected neural network
- gaze estimation based on feature
- geodesic measure
- graph neural network
- heuristic attention
- human action recognition
- human segmentation
- human tracking
- hyper-parameter optimization
- Industry & industrial studies
- Information technology industries
- intelligent sensors
- IoT
- MADS dataset
- Media, information & communication industries
- mobile edge computaing
- motion estimation
- n/a
- online self-calibration
- optical fiber sensor
- optical flow
- perceptual grouping
- personality perception
- robotics
- self-attention
- self-supervised learning
- sensor noises
- similarity measure
- simultaneous wireless information and power transfer
- synthetic eye images
- targeted advertising
- thema EDItEUR::U Computing and Information Technology::UY Computer science
- TSDF
- visual representation learning
- voxel information
- wireless sensing network
Links
DOI: 10.3390/books978-3-0365-7869-9Editions