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Computer Vision and Machine Learning for Intelligent Sensing Systems

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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

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