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    Discussion of “Solution for Water Distribution Systems under Pressure-Deficient Conditions” by Wah Khim Ang and Paul W. Jowitt 

    Source: Journal of Water Resources Planning and Management:;2007:;Volume ( 133 ):;issue: 006
    Author(s): Zheng Yi Wu
    Publisher: American Society of Civil Engineers
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    Time Series Data Decomposition-Based Anomaly Detection and Evaluation Framework for Operational Management of Smart Water Grid 

    Source: Journal of Water Resources Planning and Management:;2021:;Volume ( 147 ):;issue: 009:;page 04021059-1
    Author(s): Zheng Yi Wu; Yekun He
    Publisher: ASCE
    Abstract: With the increasing adoption of advanced meter infrastructure (AMI), smarter sensors, and temporary and/or permanent data loggers, it is imperative to leverage data analytics methods with hydraulic modeling to improve the ...
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    Crack Detection and Segmentation Using Deep Learning with 3D Reality Mesh Model for Quantitative Assessment and Integrated Visualization 

    Source: Journal of Computing in Civil Engineering:;2020:;Volume ( 034 ):;issue: 003
    Author(s): Rony Kalfarisi; Zheng Yi Wu; Ken Soh
    Publisher: ASCE
    Abstract: Crack detection has been an active research topic for civil infrastructure inspection. Over the last few years, many research efforts have focused on applying deep learning-based techniques to automatically detect cracks ...
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    Evolutionary Deep Learning with Extended Kalman Filter for Effective Prediction Modeling and Efficient Data Assimilation 

    Source: Journal of Computing in Civil Engineering:;2019:;Volume ( 033 ):;issue: 003
    Author(s): Qiao Li; Zheng Yi Wu; Atiqur Rahman
    Publisher: American Society of Civil Engineers
    Abstract: With increasing concerns about infrastructure sustainability, ubiquitous sensing is an integral part of smart infrastructure in the context of smart cities. It generates large data sets containing hidden patterns and ...
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    Closure to “Effective Approach for Solving Battle of Water Calibration Network Problem” by Zheng Yi Wu and Thomas M. Walski 

    Source: Journal of Water Resources Planning and Management:;2014:;Volume ( 140 ):;issue: 001
    Author(s): Zheng Yi Wu; Thomas M. Walski
    Publisher: American Society of Civil Engineers
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    Effective Approach for Solving Battle of Water Calibration Network Problem 

    Source: Journal of Water Resources Planning and Management:;2012:;Volume ( 138 ):;issue: 005
    Author(s): Zheng Yi Wu; Thomas M. Walski
    Publisher: American Society of Civil Engineers
    Abstract: This paper presents an effective approach for calibrating an extended period simulation (EPS) model of water distribution system. By using the benchmark model calibration problem, set up for Battle of Water Calibration ...
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    Pressure-Dependent Leak Detection Model and Its Application to a District Water System 

    Source: Journal of Water Resources Planning and Management:;2010:;Volume ( 136 ):;issue: 001
    Author(s): Zheng Yi Wu; Paul Sage; David Turtle
    Publisher: American Society of Civil Engineers
    Abstract: Cost-effective reduction of water loss is a compelling but challenging task for water utilities. This paper presents a model-based optimization method for leakage detection of water distribution systems. Leakage hotspots ...
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    Characteristics and Small-Scale Variations of Raindrop Size Distribution over the Yangtze River Delta in East China 

    Source: Journal of Hydrologic Engineering:;2020:;Volume ( 025 ):;issue: 007
    Author(s): Yi Li; Xichuan Liu; Yi Wu; Shuai Hu
    Publisher: ASCE
    Abstract: To understand rain microphysics at the scale of 100 km over the Yangtze River Delta in East China, the characteristics and small-scale variations of raindrop size distribution (DSD) are investigated using data from ...
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    Semantic Deep Learning Integrated with RGB Feature-Based Rule Optimization for Facility Surface Corrosion Detection and Evaluation 

    Source: Journal of Computing in Civil Engineering:;2021:;Volume ( 035 ):;issue: 006:;page 04021018-1
    Author(s): Atiqur Rahman; Zheng Yi Wu; Rony Kalfarisi
    Publisher: ASCE
    Abstract: Over the last few years, convolutional neural networks (CNNs) have been applied to detect corrosion in images. Unfortunately, the corrosion is detected in bounding boxes, without precisely segmenting the corrosion elements ...
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    Detecting and Geolocating City-Scale Soft-Story Buildings by Deep Machine Learning for Urban Seismic Resilience 

    Source: Natural Hazards Review:;2021:;Volume ( 023 ):;issue: 001:;page 04021062
    Author(s): Rony Kalfarisi; Maadh Hmosze; Zheng Yi Wu
    Publisher: ASCE
    Abstract: Seismic resilience is of great concern and vital importance for cities in earthquake zones. It is not only desirable but also mandatory for the cities to prepare an emergency response plan for possible seismic events. One ...
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