Search Results - "Hong, Yinghan"

Finite-Time Stability and Stabilization of Impulsive Stochastic Delayed Neural Networks With Rous and Rons by Chen, Tao, Peng, Shiguo, Hong, Yinghan, Mai, Guizhen

“…This paper mainly tends to investigate finite-time stability and stabilization of impulsive stochastic delayed neural networks with randomly occurring…”
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Running-Time Analysis of Brain Storm Optimization Based on Average Gain Model by Mai, Guizhen, Liu, Fangqing, Hong, Yinghan, Liu, Dingrong, Su, Junpeng, Yang, Xiaowei, Huang, Han

“…The brain storm optimization (BSO) algorithm has received increased attention in the field of evolutionary computation. While BSO has been applied in numerous…”
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Causal Discovery Combining K2 with Brain Storm Optimization Algorithm by Hong, Yinghan, Hao, Zhifeng, Mai, Guizhen, Huang, Han, Kumar Sangaiah, Arun

“…Exploring and detecting the causal relations among variables have shown huge practical values in recent years, with numerous opportunities for scientific…”
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Distinguish Markov Equivalence Classes from Large-Scale Linear Non-Gaussian Data by Mai, Guizhen, Hong, Yinghan, Chen, Pinghua, Chen, Kexi, Huang, Han, Zheng, Gengzhong

“…In the problem of causal discovery, conditional independence (CI) tests are generally used to detect the causal relationships among observed data. Due to the…”
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Inferring Causal Direction From Multi-Dimensional Causal Networks for Assessing Harmful Factors in Security Analysis by Mai, Guizhen, Hong, Yinghan, Peng, Shiguo, Peng, Yuzhong

“…In many scenarios of security analysis, Bayesian methods are often used for assessing harmful factors like attacks, as Bayesian causal model can estimate or…”
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Dynamic scheduling strategy and algorithm for mixed batch scheduling in vacuum freeze-dried fruit processes by Huang, JinDian, Hong, YingHan, Lin, KeYe

“…Vacuum freeze-dried fruit processes consisting of heating and holding are modelled as a mixed batch scheduling with the objective of minimizing the makespan…”
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Fast Causal Division for Supporting High Dimensional Causal Discovery by Guizhen Mai, Shiguo Peng, Yinghan Hong, Pinghua Chen

“…Discovering the causal relationship from the observational data is a key problem in many scientific research fields. However, it is not easy to discovery the…”
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High-dimensional causal discovery based on heuristic causal partitioning by Hong, Yinghan, Guo, Junping, Mai, Guizhen, Lin, Yingqing, Zhang, Hao, Hao, Zhifeng, Zheng, Gengzhong

“…Causal discovery is one of the most important research directions in the field of machine learning, aiming to discover the underlying causal relationships in…”
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An efficient algorithm for large-scale causal discovery by Hong, Yinghan, Liu, Zhusong, Mai, Guizhen

“…Causal discovery is a fundamental problem in scientific research. Although many researchers are committed to finding causal relationships from observational…”
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An Approach for Inferring Causal Directions from Multi-Dimensional Networks by Yinghan Hong, Zhifeng Hao, Guizhen Mai, Bingfeng Chen, Rui Xie

“…Inferring causal directions from observed variables is one of the fundamental problems in many scientific fields. In this paper, a new approach for…”
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The automatic detection system of flexible printed circuit board’s defect in computer equipment based on picture processing and pattern recognition by Ren, Ke, Hong, Yinghan

“…Purpose – The purpose of this paper is to make the test of flexible printed circuit (FPC) board be more efficient and accurate. Design/methodology/approach –…”
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Optimization of Lennard-Jones clusters by particle swarm optimization with quasi-physical strategy by Mai, Guizhen, Hong, Yinghan, Fu, Shen, Lin, Yingqing, Hao, Zhifeng, Huang, Han, Zhu, Yuanhao

“…The goal of Lennard-Jones (LJ) clusters optimization is to find the minimum value of the potential function of a cluster and thereby determine the stable…”
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Design of Intelligent Guide System Based on Internet of Things Technology by Hong, Yinghan, Liang, Sirui, Mai, Guizhen, Luo, Jialuo, Huang, Ziying, Li, Xingxing

“…Despite societal and technological advancements, visually impaired individuals still face travel and daily life challenges. This paper proposes an intelligent…”
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