Search Results - "Iseley, Tom"

Automated defect classification in sewer closed circuit television inspections using deep convolutional neural networks by Kumar, Srinath S., Abraham, Dulcy M., Jahanshahi, Mohammad R., Iseley, Tom, Starr, Justin

“…Automated interpretation of sewer CCTV inspection videos could improve the speed, accuracy, and consistency of sewer defect reporting. Previous research has…”
Get full text

Short-term load forecasting of urban gas using a hybrid model based on improved fruit fly optimization algorithm and support vector machine by Lu, Hongfang, Azimi, Mohammadamin, Iseley, Tom

“…The accurate forecasting of short-term load for urban gas is the premise of gas supply sales, pipe network planning, and energy optimization scheduling. This…”
Get full text

Application of Artificial Neural Network in Tunnel Engineering: A Systematic Review by Wang, Xiao, Lu, Hongfang, Wei, Xinjiang, Wei, Gang, Behbahani, Seyed Saleh, Iseley, Tom

“…Due to the lack of living space and the increase in population, there has been a construction boom in the underground space to improve the quality of human…”
Get full text

Leakage detection techniques for oil and gas pipelines: State-of-the-art by Lu, Hongfang, Iseley, Tom, Behbahani, Saleh, Fu, Lingdi

“…The leakage of oil and gas pipelines may cause significant safety accidents and economic losses. In order to reduce the probability of pipeline failure, leak…”
Get full text

How does trenchless technology make pipeline construction greener? A comprehensive carbon footprint and energy consumption analysis by Lu, Hongfang, Matthews, John, Iseley, Tom

“…Pipelines are the primary means of transporting energy or resources, such as oil, natural gas, or water. Nowadays, with the increasing demand for resources,…”
Get full text

A multi-objective optimizer-based model for predicting composite material properties by Lu, Hongfang, Behbahani, Saleh, Ma, Xin, Iseley, Tom

“…•A hybrid model is proposed to predict properties of the composite material.•A multi-objective optimizer is utilized.•Proposed model is applied to six…”
Get full text

Hybrid machine learning for pullback force forecasting during horizontal directional drilling by Lu, Hongfang, Iseley, Tom, Matthews, John, Liao, Wei

“…This paper presents a hybrid machine learning model for predicting the pullback force in horizontal directional drilling (HDD) construction. The model combines…”
Get full text

Trenchless Construction Technologies for Oil and Gas Pipelines: State-of-the-Art Review by Lu, Hongfang, Behbahani, Saleh, Azimi, Mohammadamin, Matthews, John C, Han, Shuai, Iseley, Tom

“…AbstractWith the accelerated construction and aging of underground oil and gas pipelines, trenchless technology (TT) has developed rapidly in recent years…”
Get full text

A jacking force study of curved steel pipe roof in Gongbei tunnel: Calculation review and monitoring data analysis by Zhang, Peng, Behbahani, Seyed Saleh, Ma, Baosong, Iseley, Tom, Tan, Lixin

“…Jacking force is one of the crucial parameters for pipe structure design, selection of pipe jacking machine and shaft structure design during jacking process…”
Get full text

Deep Learning–Based Automated Detection of Sewer Defects in CCTV Videos by Kumar, Srinath Shiv, Wang, Mingzhu, Abraham, Dulcy M, Jahanshahi, Mohammad R, Iseley, Tom, Cheng, Jack C. P

“…AbstractAutomated interpretation of closed-circuit television (CCTV) inspection videos could improve the speed and consistency of sewer condition assessment…”
Get full text

Novel Data-Driven Framework for Predicting Residual Strength of Corroded Pipelines by Lu, Hongfang, Xu, Zhao-Dong, Iseley, Tom, Matthews, John C

“…AbstractFor the residual strength prediction of corroded pipelines, the existing standard has a small application range, and the finite-element method has too…”
Get full text

Vertical tunneling in China-A case study of a hydraulic tunnel in Beihai by Wang, Xiao, Behbahani, Seyed Saleh, Iseley, Tom, Azimi, Mohammadamin, Wei, Xinjiang, Wei, Gang, Shi, Yu

“…•A detailed introduction about the vertical tunneling method is proposed.•A simple approach to back analyze the average frictional coefficient is…”
Get full text

Research on the structures and hydraulic performances of the typical direct jet nozzles for water jet technology by Wen, Jiwei, Qi, Ziwei, Behbahani, Seyed Saleh, Pei, Xiangjun, Iseley, Tom

“…Water jet technology has been widely used for many years. It is an effective and clean approach for breaking, cutting or cleaning materials. Nozzle is the…”
Get full text

A Feature Selection–Based Intelligent Framework for Predicting Maximum Depth of Corroded Pipeline Defects by Lu, Hongfang, Peng, Haoyan, Xu, Zhao-Dong, Matthews, John C., Wang, Niannian, Iseley, Tom

“…AbstractCorrosion is one of the most common defects of buried pipelines. Accurate prediction of the maximum pitting depth of corroded pipelines is conducive to…”
Get full text

Dual-Component Polyurethane Spray Technology for Repairing Concrete Pipes: A Case Study by Xi, Dongmin, Lu, Hongfang, Shi, Kebing, Ni, Houming, Iseley, Tom

“…AbstractThis study examines the feasibility and effectiveness of the sprayed-in-place pipe (SIPP) technology for concrete pipe repair, with a focus on a…”
Get full text

Leveraging Machine Learning for Pipeline Condition Assessment by Lu, Hongfang, Xu, Zhao-Dong, Zang, Xulei, Xi, Dongmin, Iseley, Tom, Matthews, John C., Wang, Niannian

“…AbstractPipeline condition assessment is a cost-effective method to determine the status of pipeline structure and predict failure probability. Although 100%…”
Get full text

Near Real-Time HDD Pullback Force Prediction Model Based on Improved Radial Basis Function Neural Networks by Lu, Hongfang, Matthews, John C, Azimi, Mohammadamin, Iseley, Tom

“…AbstractPipeline pullback is a crucial part of horizontal directional drilling (HDD) construction. Accurate pullback force prediction is the prerequisite for…”
Get full text

An ensemble model based on relevance vector machine and multi-objective salp swarm algorithm for predicting burst pressure of corroded pipelines by Lu, Hongfang, Iseley, Tom, Matthews, John, Liao, Wei, Azimi, Mohammadamin

“…Burst pressure is the key to the design of pressure pipelines, and its accurate prediction is of considerable significance to pipeline safety and integrity…”
Get full text

Modeling the Frequency of Water Main Breaks in Water Distribution Systems: Random-Parameters Negative-Binomial Approach by Zamenian, Hamed, Mannering, Fred L, Abraham, Dulcy M, Iseley, Tom

“…AbstractWater main breaks can have significant adverse social, economic, and environmental impacts. As a result, water utilities seek to be proactive and…”
Get full text

Comparison of Technologies for Condition Assessment of Small-Diameter Ductile Iron Water Pipes by Kumar, Srinath Shiv, Abraham, Dulcy M, Behbahani, Seyed Saleh, Matthews, John C, Iseley, Tom

“…AbstractAmong the various diameter classes of ductile iron pipe (DIP) used in water distribution systems, small-diameter pipes [i.e., pipes with a diameter…”
Get full text