Ran Liu
Chongqing University
32 Papers
60 Citations
Ran Liu is an academic researcher from Chongqing University. The author has contributed to research in topics: Computer science & Stereoscopy. The author has an hindex of 6, co-authored 27 publications.
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Papers
Lung cancer detection via breath by electronic nose enhanced with a sparse group feature selection approach
Bei Liu,Huiqing Yu,Xiaoping Zeng,Dan Zhang,Juan Gong,Ling Tian,Junhui Qian,Leilei Zhao,Shuya Zhang,Ran Liu +9 more
TL;DR: An E-nose platform with a novel thermal desorption preconcentration subsystem is designed to verify whether analyzing VOCs can reliably differentiate lung cancer patients from healthy individuals and patients with benign pulmonary diseases.
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A Weighted Discriminative Extreme Learning Machine Design for Lung Cancer Detection by an Electronic Nose System
TL;DR: In this paper, a novel classification method named weighted discriminative extreme learning machine (WDELM) was proposed for lung cancer diagnosis, which assigns a different weight to each particular sample by using a flexible weighting strategy, which enables it to perform classification tasks with the unbalanced class distribution.
54
Design of Multisensor Electronic Nose Based on Conformal Sensor Chamber
TL;DR: The sensor comprehensive responses toward the exhaled gases of healthy people and patients under different sensor chamber conditions demonstrate that the sweeping speed obtained by the Newton method is analytically proved optimal.
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Cryptanalysis and improvement of a reversible data-hiding scheme in encrypted images by redundant space transfer
TL;DR: This paper demonstrates that the encryption method of this scheme can be broken by chosen-plaintext attack (CPA), and introduces 2-D Logistic-adjusted-sine map (2D-LASM) to produce the encryption sequences with the control parameters generated from the plain image.
27
Application of Fractal Geometry in Gas Sensor: A Review
TL;DR: Fractal geometry can be successfully used in the design of macro and micro structure of gas sensors to improve the performance of sensors as discussed by the authors, and the advantages of fractal analysis in the characterization of film morphology and properties are discussed.
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