Next interest point recommendation method based on adaptive space-time diagram representation learning von CHE XIANGHONG, CHI JINZHE, LIU JIPING, XU SHENGHUA, LUO AN, WANG YONG

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Auxiliary device for electric power production maintenance von HAO WENLIANG, LI CHENG, HE LEI, GUO GENSHENG, CHI JINZHE, ZHANG BOXIANG, CHU CHUNCAI, SHAO XINGWANG, LIU XIAOFENG, ZHANG LIANYAN

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Leak-Before-Break Main Failure Prevention for Water Distribution Pipes Using Acoustic Smart Water Technologies: Case Study in Adelaide von Stephens, Mark, Gong, Jinzhe, Zhang, Chi, Marchi, Angela, Dix, Luke, Lambert, Martin F

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Detection of Emerging through-Wall Cracks for Pipe Break Early Warning in Water Distribution Systems Using Permanent Acoustic Monitoring and Acoustic Wave Analysis von Gong, Jinzhe, Lambert, Martin F., Stephens, Mark L., Cazzolato, Benjamin S., Zhang, Chi

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Phase‐Controlled Growth of 1T′‐MoS2 Nanoribbons on 1H‐MoS2 Nanosheets von Wang, Yongji, Zhai, Wei, Ren, Yi, Zhang, Qinghua, Yao, Yao, Li, Siyuan, Yang, Qi, Zhou, Xichen, Li, Zijian, Chi, Banlan, Liang, Jinzhe, He, Zhen, Gu, Lin, Zhang, Hua

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Faster Inverse Transient Analysis with a Head-Based Method of Characteristics and a Flexible Computational Grid for Pipeline Condition Assessment von Zhang, Chi, Gong, Jinzhe, Zecchin, Aaron, Lambert, Martin, Simpson, Angus

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A convolutional neural network for pipe crack and leak detection in smart water network von Zhang, Chi, Alexander, Bradley J., Stephens, Mark L., Lambert, Martin F., Gong, Jinzhe

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Phase Engineering of Nanomaterials: Transition Metal Dichalcogenides von Zhai, Wei, Li, Zijian, Wang, Yongji, Zhai, Li, Yao, Yao, Li, Siyuan, Wang, Lixin, Yang, Hua, Chi, Banlan, Liang, Jinzhe, Shi, Zhenyu, Ge, Yiyao, Lai, Zhuangchai, Yun, Qinbai, Zhang, An, Wu, Zhiying, He, Qiyuan, Chen, Bo, Huang, Zhiqi, Zhang, Hua

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Phase-Controlled Growth of 1T'-MoS 2 Nanoribbons on 1H-MoS 2 Nanosheets von Wang, Yongji, Zhai, Wei, Ren, Yi, Zhang, Qinghua, Yao, Yao, Li, Siyuan, Yang, Qi, Zhou, Xichen, Li, Zijian, Chi, Banlan, Liang, Jinzhe, He, Zhen, Gu, Lin, Zhang, Hua

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Bayesian Inverse Transient Analysis for Pipeline Condition Assessment: Parameter Estimation and Uncertainty Quantification von Zhang, Chi, Lambert, Martin F., Gong, Jinzhe, Zecchin, Aaron C., Simpson, Angus R., Stephens, Mark L.

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Acoustic Signal Classification by Support Vector Machine for Pipe Crack Early Warning in Smart Water Networks von Zhang, Chi, Stephens, Mark L, Lambert, Martin F, Alexander, Bradley J, Gong, Jinzhe

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Impedance Estimation along Pipelines by Generalized Reconstructive Method of Characteristics for Pipeline Condition Assessment von Zhang, Chi, Gong, Jinzhe, Simpson, Angus R, Zecchin, Aaron C, Lambert, Martin F

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Sensor Placement Strategy for Pipeline Condition Assessment Using Inverse Transient Analysis von Zhang, Chi, Gong, Jinzhe, Lambert, Martin F., Simpson, Angus R., Zecchin, Aaron C.

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Multi-stage parameter-constraining inverse transient analysis for pipeline condition assessment von Zhang, Chi, Zecchin, Aaron C., Lambert, Martin F., Gong, Jinzhe, Simpson, Angus R.

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Optimization of Formula of Lepista sordida and Yam Fungal Substance Beverage and Its Antioxidant Activity von Jinzhe LI, Chi ZHANG, Sijia SHENG, Fengfeng LIU, Haojie ZHU, Yaqin HUANG

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Detection of structural anomalies in a pipeline network von DIX, Luke, STEPHENS, Mark Leslie, GONG, Jinzhe, CAZZOLATO, Benjamin, LAMBERT, Martin F, ZHANG, Chi

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Method and system for detecting a structural anomaly in a pipeline network von DIX, Luke, STEPHENS, Mark Leslie, GONG, Jinzhe, CAZZOLATO, Benjamin, LAMBERT, Martin F, ZHANG, Chi

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METHOD AND SYSTEM FOR DETECTING A STRUCTURAL ANOMALY IN A PIPELINE NETWORK von DIX, Luke, STEPHENS, Mark Leslie, GONG, Jinzhe, CAZZOLATO, Benjamin, LAMBERT, Martin F, ZHANG, Chi

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DETECTION OF STRUCTURAL ANOMALIES IN A PIPELINE NETWORK von DIX, Luke, STEPHENS, Mark Leslie, GONG, Jinzhe, CAZZOLATO, Benjamin, LAMBERT, Martin F, ZHANG, Chi

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DETECTION OF STRUCTURAL ANOMALIES IN A PIPELINE NETWORK von DIX, Luke, STEPHENS, Mark Leslie, GONG, Jinzhe, CAZZOLATO, Benjamin, LAMBERT, Martin F, ZHANG, Chi

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