Search Results - "Jahanshahi, Mohammad R"

NB-CNN: Deep Learning-Based Crack Detection Using Convolutional Neural Network and Naïve Bayes Data Fusion by Chen, Fu-Chen, Jahanshahi, Mohammad R.

“…Regular inspection of nuclear power plant components is important to guarantee safe operations. However, current practice is time consuming, tedious, and…”
Get full text

Evaluation of deep learning approaches based on convolutional neural networks for corrosion detection by Atha, Deegan J, Jahanshahi, Mohammad R

“…Corrosion is a major defect in structural systems that has a significant economic impact and can pose safety risks if left untended. Currently, an inspector…”
Get full text

Deep Convolutional Neural Network for Structural Dynamic Response Estimation and System Identification by Wu, Rih-Teng, Jahanshahi, Mohammad R

“…AbstractThis study presents a deep convolutional neural network (CNN)-based approach to estimate the dynamic response of a linear single-degree-of-freedom…”
Get full text

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

Estimating Pavement Roughness by Fusing Color and Depth Data Obtained from an Inexpensive RGB-D Sensor by Mahmoudzadeh, Ahmadreza, Golroo, Amir, Jahanshahi, Mohammad R, Firoozi Yeganeh, Sayna

“…Measuring pavement roughness and detecting pavement surface defects are two of the most important tasks in pavement management. While existing pavement…”
Get full text

NB-FCN: Real-Time Accurate Crack Detection in Inspection Videos Using Deep Fully Convolutional Network and Parametric Data Fusion by Chen, Fu-Chen, Jahanshahi, Mohammad R.

“…For the safe operations of nuclear power plants, it is important to inspect the reactor internal components frequently. However, current practice involves…”
Get full text

An evaluation of image‐based structural health monitoring using integrated unmanned aerial vehicle platform by Akbar, Muhammad Ali, Qidwai, Uvais, Jahanshahi, Mohammad R.

“…Summary Increasing number of skyscrapers along with the large number of tall bridges in the urban setting throughout the world also increases the demand of…”
Get full text

An innovative methodology for detection and quantification of cracks through incorporation of depth perception by Jahanshahi, Mohammad R., Masri, Sami F., Padgett, Curtis W., Sukhatme, Gaurav S.

“…Visual inspection of structures is a highly qualitative method in which inspectors visually assess a structure’s condition. If a region is inaccessible,…”
Get full text

Computer-Aided Approach for Rapid Post-Event Visual Evaluation of a Building Façade by Choi, Jongseong, Yeum, Chul Min, Dyke, Shirley J, Jahanshahi, Mohammad R

“…After a disaster strikes an urban area, damage to the façades of a building may produce dangerous falling hazards that jeopardize pedestrians and vehicles…”
Get full text

Wheat Spike Blast Image Classification Using Deep Convolutional Neural Networks by Fernández-Campos, Mariela, Huang, Yu-Ting, Jahanshahi, Mohammad R., Wang, Tao, Jin, Jian, Telenko, Darcy E. P., Góngora-Canul, Carlos, Cruz, C. D.

“…Wheat blast is a threat to global wheat production, and limited blast-resistant cultivars are available. The current estimations of wheat spike blast severity…”
Get full text

Active perception based on deep reinforcement learning for autonomous robotic damage inspection by Tang, Wen, Jahanshahi, Mohammad R.

“…In this study, an artificial intelligence framework is developed to facilitate the use of robotics for autonomous damage inspection. While considerable…”
Get full text

Adaptive vision-based crack detection using 3D scene reconstruction for condition assessment of structures by Jahanshahi, Mohammad R., Masri, Sami F.

“…Current inspection standards require an inspector to travel to a target structure site and visually assess the structure's condition. This approach is…”
Get full text

Design of one-dimensional acoustic metamaterials using machine learning and cell concatenation by Wu, Rih-Teng, Liu, Ting-Wei, Jahanshahi, Mohammad R., Semperlotti, Fabio

“…Metamaterial systems have opened new, unexpected, and exciting paths for the design of acoustic devices that only few years ago were considered completely out…”
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

Deep learning‐based multi‐class damage detection for autonomous post‐disaster reconnaissance by Ghosh Mondal, Tarutal, Jahanshahi, Mohammad R., Wu, Rih‐Teng, Wu, Zheng Yi

“…Timely assessment of damages induced to buildings due to an earthquake is critical for ensuring life safety, mitigating financial losses, and expediting the…”
Get full text

ARF-Crack: rotation invariant deep fully convolutional network for pixel-level crack detection by Chen, Fu-Chen, Jahanshahi, Mohammad R.

“…Autonomous detection of structural defect from images is a promising, but also challenging task to replace manual inspection. With the development of deep…”
Get full text

Corrigendum to “A physics-constrained deep learning based approach for acoustic inverse scattering problems” [Mechan. Syst. Sign. Process. 164 (2022) 108190] by Wu, Rih-Teng, Jokar, Mehdi, Jahanshahi, Mohammad R., Semperlotti, Fabio

Get full text

Unsupervised Approach for Autonomous Pavement-Defect Detection and Quantification Using an Inexpensive Depth Sensor by Jahanshahi, Mohammad R, Jazizadeh, Farrokh, Masri, Sami F, Becerik-Gerber, Burcin

“…AbstractCurrent pavement condition–assessment procedures are extensively time consuming and laborious; in addition, these approaches pose safety threats to the…”
Get full text

Pruning deep convolutional neural networks for efficient edge computing in condition assessment of infrastructures by Wu, Rih‐Teng, Singla, Ankush, Jahanshahi, Mohammad R., Bertino, Elisa, Ko, Bong Jun, Verma, Dinesh

“…Health monitoring of civil infrastructures is a key application of Internet of things (IoT), while edge computing is an important component of IoT. In this…”
Get full text

A texture‐Based Video Processing Methodology Using Bayesian Data Fusion for Autonomous Crack Detection on Metallic Surfaces by Chen, Fu‐Chen, Jahanshahi, Mohammad R., Wu, Rih‐Teng, Joffe, Chris

“…Regular inspection of the components of nuclear power plants is important to improve their resilience. However, current inspection practices are time…”
Get full text