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MARS: Mixed Virtual and Real Wearable Sensors for Human Activity Recognition with Multi-Domain Deep Learning Model
Human activity recognition (HAR) using wearable Inertial Measurement Uni...
09/20/2020 ∙ by Ling Pei, et al. ∙
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A Self Contour-based Rotation and Translation-Invariant Transformation for Point Clouds Recognition
Recently, several direct processing point cloud models have achieved sta...
09/15/2020 ∙ by Dongrui Liu, et al. ∙
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A Deep Learning Method for Complex Human Activity Recognition Using Virtual Wearable Sensors
Sensor-based human activity recognition (HAR) is now a research hotspot ...
03/04/2020 ∙ by Fanyi Xiao, et al. ∙
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Robust Precoding Design for Coarsely Quantized MU-MIMO Under Channel Uncertainties
Recently, multi-user multiple input multiple output (MU-MIMO) systems wi...
05/14/2019 ∙ by Lei Chu, et al. ∙
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LEMO: Learn to Equalize for MIMO-OFDM Systems with Low-Resolution ADCs
This paper develops a new deep neural network optimized equalization fra...
05/14/2019 ∙ by Lei Chu, et al. ∙
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Nonconvex Regularization Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine Learning
In the past decade, sparse and low-rank recovery have drawn much attenti...
08/16/2018 ∙ by Fei Wen, et al. ∙
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A New Approach of Exploiting Self-Adjoint Matrix Polynomials of Large Random Matrices for Anomaly Detection and Fault Location
Synchronized measurements of a large power grid enable an unprecedented ...
02/10/2018 ∙ by Zenan Ling, et al. ∙
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An Accurate and Real-time Self-blast Glass Insulator Location Method Based On Faster R-CNN and U-net with Aerial Images
The location of broken insulators in aerial images is a challenging task...
01/16/2018 ∙ by Zenan Ling, et al. ∙
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Incipient Fault Detection and Location in Distribution Networks: A Data-Driven Approach
In this paper, a data-driven Methodology is developed for the incipient ...
01/05/2018 ∙ by Xin Shi, et al. ∙
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Detection and Estimation of the Invisible Units Using Utility Data Based on Random Matrix Theory
Invisible units refer mainly to small-scale units that are not monitored...
10/30/2017 ∙ by Xing He, et al. ∙
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Individual Recognition in Schizophrenia using Deep Learning Methods with Random Forest and Voting Classifiers: Insights from Resting State EEG Streams
Recently, there has been a growing interest in monitoring brain activity...
06/20/2017 ∙ by Lei Chu, et al. ∙
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