Real-time visual analytics for in-home medical rehabilitation of stroke patient—systematic review

M Boumrah, S Garbaya, A Radgui - Medical & Biological Engineering & …, 2022 - Springer
This paper is focused on real-time visual analytics for home-based rehabilitation dedicated
for brain stroke survivors. This research is at the intersection of three main domains: visual …

[PDF][PDF] TokenVis: 面向以太坊区块链ERC-20 智能合约演变模式的可视分析方法

李国政, 赵琮, 刘驰, 陈思明, 王国仁 - 电子学报, 2024 - ejournal.org.cn
区块链技术近年来受到了广泛关注. 区块链技术驱动的加密货币市场复杂且不稳定,
容易受到政治, 经济, 社会等各方面因素的影响. 现有的研究工作集中于原生加密货币 …

FRLDM: Empowering K-nearest neighbor (KNN) through FPGA-based reduced-rank local distance metric

A Samiee, Y Huang, Y Bai - … Conference on Big Data (Big Data …, 2018 - ieeexplore.ieee.org
While fast and accurate data classification techniques are vital to many applications, K-
Nearest Neighbor algorithm (KNN) is considered the most important algorithm used in data …

Spatial-temporal anomaly detection using security visual analytics via entropy graph and eigen matrix

M Sinda, Q Liao - 2017 IEEE 15th Intl Conf on Dependable …, 2017 - ieeexplore.ieee.org
Much of the big data which is produced is due to IoT devices and various sensor networks.
This data often comes with spatial as well as temporal properties that can tell investigators …