Search Results - "Gao, Liang"

Extend the field of view of selective plan illumination microscopy by tiling the excitation light sheet by Gao, Liang

“…Selective Plane Illumination Microscopy (SPIM) is attractive for its ability to acquire 3D images with high 3D spatial resolution, good optical sectioning…”
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An effective hybrid genetic algorithm and tabu search for flexible job shop scheduling problem by Li, Xinyu, Gao, Liang

“…Flexible job shop scheduling problem (FJSP) which is an extension of the classical job shop scheduling problem is a very important problem in the modern…”
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A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method by Wen, Long, Li, Xinyu, Gao, Liang, Zhang, Yuyan

“…Fault diagnosis is vital in manufacturing system, since early detections on the emerging problem can save invaluable time and cost. With the development of…”
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Ultrafast light field tomography for snapshot transient and non-line-of-sight imaging by Feng, Xiaohua, Gao, Liang

“…Cameras with extreme speeds are enabling technologies in both fundamental and applied sciences. However, existing ultrafast cameras are incapable of coping…”
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A New Deep Transfer Learning Based on Sparse Auto-Encoder for Fault Diagnosis by Wen, Long, Gao, Liang, Li, Xinyu

“…Fault diagnosis plays an important role in modern industry. With the development of smart manufacturing, the data-driven fault diagnosis becomes hot. However,…”
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A New Reinforcement Learning Based Learning Rate Scheduler for Convolutional Neural Network in Fault Classification by Wen, Long, Li, Xinyu, Gao, Liang

“…Convolutional neural network (CNN) has gained increasing attention in fault classification. However, the performance of CNN is sensitive to its learning rate…”
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Concurrent topology optimization of multiscale composite structures in Matlab by Gao, Jie, Luo, Zhen, Xia, Liang, Gao, Liang

“…This paper presents the compact and efficient Matlab codes for the concurrent topology optimization of multiscale composite structures not only in 2D scenario…”
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A semi-supervised convolutional neural network-based method for steel surface defect recognition by Gao, Yiping, Gao, Liang, Li, Xinyu, Yan, Xuguo

“…•Labeling large-scale data for steel surface defect recognition is costly and hard.•A semi-supervised learning method is proposed with limited labeled…”
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Dual Microenvironment Modulation of Pd Nanoparticles in Covalent Organic Frameworks for Semihydrogenation of Alkynes by Guo, Mingchun, Meng, Qiangqiang, Chen, Wenyao, Meng, Zheng, Gao, Ming‐Liang, Li, Qunxiang, Duan, Xuezhi, Jiang, Hai‐Long

“…The chemical microenvironment modulation of metal nanoparticles (NPs) holds promise for tackling the long‐lasting challenge of the trade‐off effect between…”
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Optimizing Pt Electronic States through Formation of a Schottky Junction on Non‐reducible Metal–Organic Frameworks for Enhanced Photocatalysis by Sun, Zi‐Xuan, Sun, Kang, Gao, Ming‐Liang, Metin, Önder, Jiang, Hai‐Long

“…Charge transfer between metal sites and supports is crucial for catalysis. Redox‐inert supports are usually unfavorable due to their less electronic…”
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A design framework for gradually stiffer mechanical metamaterial induced by negative Poisson's ratio property by Ye, Mengli, Gao, Liang, Li, Hao

“…Gradually stiffer (GS) mechanical metamaterial is a novel kind of adaptive structures under nonlinear varying loads for cushioning and vibration damping in…”
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Energy-efficient permutation flow shop scheduling problem using a hybrid multi-objective backtracking search algorithm by Lu, Chao, Gao, Liang, Li, Xinyu, Pan, Quanke, Wang, Qi

“…Permutation flow shop scheduling problems (PFSPs) have been extensively studied because of its broad industrial applications. However, setup and transportation…”
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Spatial-varying multi-phase infill design using density-based topology optimization by Li, Hang, Gao, Liang, Li, Hao, Tong, Haifeng

“…Porous infill structures have been widely studied and used in additive manufacturing because of their lightweight and excellent mechanical properties. However,…”
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A discrete artificial bee colony algorithm for the distributed heterogeneous no-wait flowshop scheduling problem by Li, Haoran, Li, Xinyu, Gao, Liang

“…With the development of globalization, distributed manufacturing has become one of the main modes of manufacturing. The situation in which a number of…”
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A steel property optimization model based on the XGBoost algorithm and improved PSO by Song, Kai, Yan, Feng, Ding, Ting, Gao, Liang, Lu, Songbao

“…[Display omitted] •The state-of-the-art XGBoost algorithm is chosen as the mapping function of the tensile strength and plasticity.•The important features are…”
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Side-Chain Isomerization on an n‑type Organic Semiconductor ITIC Acceptor Makes 11.77% High Efficiency Polymer Solar Cells by Yang, Yankang, Zhang, Zhi-Guo, Bin, Haijun, Chen, Shanshan, Gao, Liang, Xue, Lingwei, Yang, Changduk, Li, Yongfang

“…Low bandgap n-type organic semiconductor (n-OS) ITIC has attracted great attention for the application as an acceptor with medium bandgap p-type conjugated…”
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Single-shot compressed ultrafast photography at one hundred billion frames per second by Gao, Liang, Liang, Jinyang, Li, Chiye, Wang, Lihong V.

“…A technique based on compressed imaging with a streak camera is reported that can videotape transient events in two dimensions with temporal resolution down to…”
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Design of shell-infill structures by a multiscale level set topology optimization method by Fu, Junjian, Li, Hao, Gao, Liang, Xiao, Mi

“…•A multiscale level set based topology optimization method is proposed for the design of shell-infill structures.•The uniform shell and the infill are…”
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Photoacoustic microscopy and computed tomography: from bench to bedside by Wang, Lihong V, Gao, Liang

“…Photoacoustic imaging (PAI) of biological tissue has seen immense growth in the past decade, providing unprecedented spatial resolution and functional…”
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A new subset based deep feature learning method for intelligent fault diagnosis of bearing by Zhang, Yuyan, Li, Xinyu, Gao, Liang, Li, Peigen

“…•A subset approach for bearing vibration signal is proposed.•A subset based deep auto-encoder feature learning model is proposed.•A self-adaptive fine-tuning…”
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