Effect of the two drying approaches on the volatile profiles of button mushroom (Agaricus bisporus) by headspace GC–MS and electronic nose
F Pei, W Yang, N Ma, Y Fang, L Zhao, X An… - LWT-Food Science and …, 2016 - Elsevier
Button mushroom slices were dehydrated using freeze drying (FD) or combined with
microwave vacuum drying (FMVD), and the changes in volatile composition were …
microwave vacuum drying (FMVD), and the changes in volatile composition were …
Rough set theory for document clustering: A review
Rough set theory is a mathematical framework that can be visualized as a soft computing
tool dealing with the vagueness and uncertainty of data and is applied to pattern recognition …
tool dealing with the vagueness and uncertainty of data and is applied to pattern recognition …
Rough set based method for vehicle collision risk assessment through inferring driver's braking actions in near-crash situations
L Peng, MA Sotelo, Y He, Y Ai… - IEEE Intelligent …, 2019 - ieeexplore.ieee.org
Driving information and data under potential vehicle crashes create opportunities for
extensive real-world observations of driver behaviors and relevant factors that significantly …
extensive real-world observations of driver behaviors and relevant factors that significantly …
Prediction of instantaneous driving safety in emergency scenarios based on connected vehicle basic safety messages
K Yu, L Peng, X Ding, F Zhang… - Journal of intelligent and …, 2019 - ieeexplore.ieee.org
Purpose-Basic safety message (BSM) is a core subset of standard protocols for connected
vehicle system to transmit related safety information via vehicle-to-vehicle (V2V) and vehicle …
vehicle system to transmit related safety information via vehicle-to-vehicle (V2V) and vehicle …
An outlier detection approach in large-scale data stream using rough set
M Singh, R Pamula - Neural Computing and Applications, 2020 - Springer
Outlier detection has become an important research area in the field of stream data mining
due to its vast applications. In the literature, many methods have been proposed, but they …
due to its vast applications. In the literature, many methods have been proposed, but they …
Research on clustering analysis of Internet public opinion
XG Chen, S Duan, L Wang - Cluster Computing, 2019 - Springer
In order to enhance the real-time performance of Internet public opinion recognizing and
early warning, and improve the accuracy of the analysis of Internet public opinion for hot …
early warning, and improve the accuracy of the analysis of Internet public opinion for hot …
A novel variable precision reduction approach to comprehensive knowledge systems
A comprehensive knowledge system reveals the intangible insights hidden in an information
system by integrating information from multiple data sources in a synthetical manner. In this …
system by integrating information from multiple data sources in a synthetical manner. In this …
A Method for Vehicle Collision Risk Assessment through Inferring Driver's Braking Actions in Near-Crash Situations
L Peng, MA Sotelo, Y He, Y Ai, Z Li - arXiv preprint arXiv:2004.13761, 2020 - arxiv.org
Driving information and data under potential vehicle crashes create opportunities for
extensive real-world observations of driver behaviors and relevant factors that significantly …
extensive real-world observations of driver behaviors and relevant factors that significantly …
Semi-monolayer cover rough set: Concept, property and granular algorithm
Z Wu, N Chen, Y Gao - Information Sciences, 2018 - Elsevier
Rough set theory is known as a powerful tool for dealing with incomplete, inconsistent and
insufficient information in decision making. With the constraint that each set of cover has at …
insufficient information in decision making. With the constraint that each set of cover has at …
[HTML][HTML] Rough set based information theoretic approach for clustering uncertain categorical data
Motivation Many real applications such as businesses and health generate large categorical
datasets with uncertainty. A fundamental task is to efficiently discover hidden and non-trivial …
datasets with uncertainty. A fundamental task is to efficiently discover hidden and non-trivial …