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LNSMM: Eye Gaze Estimation With Local Network Share Multiview Multitask
Eye gaze estimation has become increasingly significant in computer visi...
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Detecting Colluding Sybil Attackers in Robotic Networks using Backscatters
Due to the openness of wireless medium, robotic networks that consist of...
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Authenticating On-Body IoT Devices: An Adversarial Learning Approach
By adding users as a new dimension to connectivity, on-body Internet-of-...
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Recovering compressed images for automatic crack segmentation using generative models
In a structural health monitoring (SHM) system that uses digital cameras...
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Lightweight Sybil-Resilient Multi-Robot Networks by Multipath Manipulation
Wireless networking opens up many opportunities to facilitate miniaturiz...
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Interactive Attention for Semantic Text Matching
Semantic text matching, which matches a target text to a source text, is...
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Towards Motion Invariant Authentication for On-Body IoT Devices
As the rapid proliferation of on-body Internet of Things (IoT) devices, ...
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A multi-dimensional framework for characterizing the citation impact of scientific publications
The citation impact of a scientific publication is usually seen as a one...
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A multidimensional perspective on the citation impact of scientific publications
The citation impact of scientific publications is usually seen as a one-...
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Direct Citations between Citing Publications
This paper defines and explores the direct citations between citing publ...
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On Secure Transmission Design: An Information Leakage Perspective
Information leakage rate is an intuitive metric that reflects the level ...
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Greedy Graph Searching for Vascular Tracking in Angiographic Image Sequences
Vascular tracking of angiographic image sequences is one of the most cli...
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Bayesian System Identification based on Hierarchical Sparse Bayesian Learning and Gibbs Sampling with Application to Structural Damage Assessment
The focus in this paper is Bayesian system identification based on noisy...
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Robust Bayesian compressive sensing with data loss recovery for structural health monitoring signals
The application of compressive sensing (CS) to structural health monitor...
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Hierarchical sparse Bayesian learning: theory and application for inferring structural damage from incomplete modal data
Structural damage due to excessive loading or environmental degradation ...
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