Real-time visual analytics for in-home medical rehabilitation of stroke patient—systematic review
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 …
for brain stroke survivors. This research is at the intersection of three main domains: visual …
An incremental dimensionality reduction method for visualizing streaming multidimensional data
Dimensionality reduction (DR) methods are commonly used for analyzing and visualizing
multidimensional data. However, when data is a live streaming feed, conventional DR …
multidimensional data. However, when data is a live streaming feed, conventional DR …
A visual analytics framework for reviewing streaming performance data
Understanding and tuning the performance of extreme-scale parallel computing systems
demands a streaming approach due to the computational cost of applying offline algorithms …
demands a streaming approach due to the computational cost of applying offline algorithms …
A survey on dimension reduction algorithms in big data visualization
In practical applications, the data set we deal with is typically high dimensional, which not
only affects training speed but also makes it difficult for people to analyze and understand. It …
only affects training speed but also makes it difficult for people to analyze and understand. It …
A Parallel Framework for Streaming Dimensionality Reduction
J **a, L Huang, Y Sun, Z Deng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The visualization of streaming high-dimensional data often needs to consider the speed in
dimensionality reduction algorithms, the quality of visualized data patterns, and the stability …
dimensionality reduction algorithms, the quality of visualized data patterns, and the stability …
A framework for visual analytics of spatio-temporal sensor observations from data streams
Sensor networks generate substantial amounts of frequently updated, highly dynamic data
that are transmitted as packets in a data stream. The high frequency and continuous …
that are transmitted as packets in a data stream. The high frequency and continuous …
EVis: Visually Analyzing Environmentally Driven Events
Earth scientists are increasingly employing time series data with multiple dimensions and
high temporal resolution to study the impacts of climate and environmental changes on …
high temporal resolution to study the impacts of climate and environmental changes on …
[PDF][PDF] Visual Analysis of Multivariate Intensive Care Surveillance Data.
We present an approach for visual analysis of high-dimensional measurement data with
varying sampling rates in the context of an experimental post-surgery study performed on a …
varying sampling rates in the context of an experimental post-surgery study performed on a …
Representing multivariate data by optimal colors to uncover events of interest in time series data
In this paper, we present a visualization system for users to study multivariate time series
data. They first identify trends or anomalies from a global view and then examine details in a …
data. They first identify trends or anomalies from a global view and then examine details in a …
Diagnostic Communication and Visual System based on Vehicle UDS Protocol
H Zhang, D Li - arxiv preprint arxiv:2206.12653, 2022 - arxiv.org
Unified Diagnostic Services (UDS) is a diagnostic communication protocol used in electronic
control units (ECUs) within automotive electronics, which is specified in the ISO 14229-1. It is …
control units (ECUs) within automotive electronics, which is specified in the ISO 14229-1. It is …