Search Results - "Miao, Mengqi"

Analysis of the frequency–response stability and reliability of a tower-column unstable rock mass on a high and steep slope by Zhou, Fuchuan, Liu, Xinrong, Tang, Hongmei, Miao, Mengqi, Xu, Bin, Guo, Xueyan

“…The first-order second-moment checking point method was introduced to judge the instability probability and evaluate the stability of the TCURM. The…”
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Clarification of Distinguishing Natural Super-Reduced Phase from Synthetics Based on Inclusions by Yutong Ma, Mengqi Miao, Ming Chen, Shan Qin

“…Super-reduced phases (SRPs), such as silicon carbide (SiC) and metal silicides, have increasingly been reported in various geological environments. However,…”
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A Deep Domain Adaptative Network for Remaining Useful Life Prediction of Machines Under Different Working Conditions and Fault Modes by Miao, Mengqi, Yu, Jianbo

“…As one of the key techniques in prognostic health management (PHM), remaining useful life (RUL) prediction of machine relies on sufficient prior observed…”
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Deep feature interactive network for machinery fault diagnosis using multi-source heterogeneous data by Miao, Mengqi, Yu, Jianbo

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Sparse-Representation-Network-Based Feature Learning of Vibration Signal for Machinery Fault Diagnosis by Miao, Mengqi, Yu, Jianbo

“…Although deep neural networks (DNNs) have been widely applied in machinery fault diagnosis, the key problems of impulsive component extraction and noise…”
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A sparse domain adaption network for remaining useful life prediction of rolling bearings under different working conditions by Miao, Mengqi, Yu, Jianbo, Zhao, Zhihong

“…•Sparse domain adaption network (SDAN) is proposed for RUL prediction of bearings.•A sparse domain-adversarial learning is developed to learn domain invariant…”
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Sparse Representation Convolutional Autoencoder for Feature Learning of Vibration Signals and its Applications in Machinery Fault Diagnosis by Miao, Mengqi, Sun, Yuanhang, Yu, Jianbo

“…Vibration signals are widely utilized in many fields, which can reflect machine health state. Those typical deep learning techniques cannot learn impulsive…”
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Deep sparse representation network for feature learning of vibration signals and its application in gearbox fault diagnosis by Miao, Mengqi, Sun, Yuanhang, Yu, Jianbo

“…Vibration signals play a key role in machinery fault diagnosis, which are often buried by strong noises due to complex working conditions. Typical deep neural…”
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Temporal self-supervised domain adaptation network for machinery fault diagnosis under multiple non-ideal conditions by Miao, Mengqi, Wang, Yun, Yu, Jianbo

“…•Temporal self-supervised domain adaptation network (TSSDAN) is developed for non-ideal machinery fault diagnosis.•Temporal self-supervised learning method is…”
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Adaptive Densely Connected Convolutional Auto-Encoder-Based Feature Learning of Gearbox Vibration Signals by Miao, Mengqi, Liu, Changhui, Yu, Jianbo

“…Vibration signals are widely utilized for machinery fault diagnosis. Typical deep neural networks (DNNs), e.g., convolutional neural networks (CNNs), perform…”
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Multi-source self-supervised domain adaptation network for VRLA battery anomaly detection of data center under non-ideal conditions by Miao, Mengqi, Yang, Pu, Yue, Shang, Zhou, Ruixu, Yu, Jianbo

“…As the key component of uninterruptible power supply, the anomaly detection of valve-regulated lead-acid (VRLA) batteries is the reliable guarantee for the…”
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Combining combretastatin A4 phosphate with ginsenoside Rd synergistically inhibited hepatocellular carcinoma by reducing HIF-1α via PI3K/AKT/mTOR signalling pathway by Yang, Xinxiu, Gao, Meng, Miao, Mengqi, Jiang, Cuihua, Zhang, Dongjian, Yin, Zhiqi, Ni, Yicheng, Chen, Jing, Zhang, Jian

“…Abstract Objectives Combretastatin A4 phosphate (CA4P), a vascular disrupting agent (VDA), can cause rapid tumour vessel occlusion. Subsequently, extensive…”
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Laxative effect and mechanism of Tiantian Capsule on loperamide-induced constipation in rats by Li, Tian, Hu, Mengmeng, Jiang, Cuihua, Zhang, Dongjian, Gao, Meng, Xia, Jianwei, Miao, Mengqi, Shi, Gaofeng, Li, Hui, Zhang, Jian, Yin, Zhiqi

“…Tiantian capsule (TTC), as a functional food, which consists of four herb medicines, including Aloe vera Burm.f. (25%), leaf juices, dried; Cucurbita moschata…”
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Tandem mass tag-based proteomic analysis reveals the treatment mechanism of Bushen Huoxue Formula on psychological stress-induced premature ovarian insufficiency by Miao, Mengqi, Gao, Meng, Li, Tian, Jiang, Cuihua, Lu, Yan, Chen, Si, Chen, Yue, Wang, Peijuan, Zhang, Jian

“…Bushen Huoxue formula (BSHXF) is a Chinese herbal prescription composed of eleven herbs widely used to treat psychological stress-induced premature ovarian…”
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Selective Domain Adaptation Network for Lithium-ion Battery Health Monitoring by Miao, Mengqi, Yu, Jianbo, Yang, Pu, Yue, Shang, Zhou, Ruixu

“…Lithium-ion battery health monitoring is crucial in ensuring the reliability of the power system. Due to complex and dynamic battery operating conditions…”
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SHARK: A Lightweight Model Compression Approach for Large-scale Recommender Systems by Zhang, Beichuan, Sun, Chenggen, Tan, Jianchao, Cai, Xinjun, Zhao, Jun, Miao, Mengqi, Yin, Kang, Song, Chengru, Mou, Na, Song, Yang

“…Increasing the size of embedding layers has shown to be effective in improving the performance of recommendation models, yet gradually causing their sizes to…”
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Prevent the Language Model from being Overconfident in Neural Machine Translation by Miao, Mengqi, Meng, Fandong, Liu, Yijin, Zhou, Xiao-Hua, Zhou, Jie

“…The Neural Machine Translation (NMT) model is essentially a joint language model conditioned on both the source sentence and partial translation. Therefore,…”
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Metal-Binding Antimicrobial Peptide SIF4 Kills Escherichia coli by Targeting Cytoplasmic Biomacromolecules without Cytoplasmic Membrane Damage: A Mechanistic Study by LI Yuzhen, XIAO Huaiqiu, LIU Miao, WANG Lin, ZENG Mengqi, ZHAO Mouming

“…To explore how metal-binding antimicrobial peptide SIF4 kills foodborne Escherichia coli by targeting nucleic acid and protein in the cytoplasmic membrane…”
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Inhibitory Mechanism of Metal-Binding Antimicrobial Peptide SIF4 on Respiratory and Energy Metabolism of Escherichia coli by LI Yuzhen, XIAO Huaiqiu, LIU Miao, WANG Lin, ZENG Mengqi, ZHAO Mouming

“…This study aimed to systematically elaborate on the inhibitory mechanism of metal-binding antimicrobial peptide SIF4 on the respiratory and energy metabolism…”
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