Mohammad R. Jahanshahi

发表

Pruning deep convolutional neural networks for efficient edge computing in condition assessment of infrastructures

Elisa Bertino, Dinesh C. Verma, Rih-Teng Wu, 2019, Comput. Aided Civ. Infrastructure Eng..

Autonomous vision-based damage chronology for spatiotemporal condition assessment of civil infrastructure using unmanned aerial vehicle

Mohammad R. Jahanshahi, Tarutal Ghosh Mondal, 2020 .

Vision-based Crack Detection on Metallic Surfaces using Deep Convolutional Neural Network with Patch Clustering

Mohammad R. Jahanshahi, Fu-Chen Chen, 2017 .

Multi-image stitching and scene reconstruction for evaluating defect evolution in structures

Gaurav S. Sukhatme, Sami F. Masri, Mohammad R. Jahanshahi, 2011 .

Corrosion Detection using Deep Convolutional Neural Networks

Mohammad R. Jahanshahi, Deegan J. Atha, 2017 .

Color and depth data fusion using an RGB‐D sensor for inexpensive and contactless dynamic displacement‐field measurement

Mohammad R. Jahanshahi, Sami F. Masri, Yulu Luke Chen, 2018 .

Real-Time Non-Contact Road Defect Detection Using Inexpensive Sensors

Shutao Wang, Da Cheng, Mohammad R. Jahanshahi, 2018 .

Vision-based quantitative assessment of microcracks on reactor internal components of nuclear power plants

Sami F. Masri, Mohammad R. Jahanshahi, Fu-Chen Chen, 2017 .

Estimating Pavement Roughness by Fusing Color and Depth Data Obtained from an Inexpensive RGB-D Sensor

Amir Golroo, Mohammad R. Jahanshahi, Ahmadreza Mahmoudzadeh, 2019, Sensors.

Deep Convolutional Neural Network for Structural Dynamic Response Estimation and System Identification

Rih-Teng Wu, Mohammad R. Jahanshahi, Rih-Teng Wu, 2019, Journal of Engineering Mechanics.

An Inexpensive Vision-Based Approach for the Autonomous Detection, Localization, and Quantification of Pavement Defects

Burcin Becerik-Gerber, Sami F. Masri, Mohammad R. Jahanshahi, 2015 .

NB-FCN: Real-Time Accurate Crack Detection in Inspection Videos Using Deep Fully Convolutional Network and Parametric Data Fusion

Mohammad R. Jahanshahi, Fu-Chen Chen, M. Jahanshahi, 2020, IEEE Transactions on Instrumentation and Measurement.

Video-based crack detection using deep learning and Nave Bayes data fusion

Mohammad R. Jahanshahi, Fu-Chen Chen, M. Jahanshahi, 2018, Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

A novel system for road surface monitoring using an inexpensive infrared laser sensor

Burcin Becerik-Gerber, Farrokh Jazizadeh, Mohammad R. Jahanshahi, 2012, Smart Structures.

A new methodology for non-contact accurate crack width measurement through photogrammetry for automated structural safety evaluation

Sami F. Masri, Mohammad R. Jahanshahi, S. Masri, 2013 .

Performance of Reinforced Concrete Buildings in the 2016 Taiwan (Meinong) Earthquake

Chao-Hsien Li, Santiago Pujol, Rih-Teng Wu, 2017 .

Reconfigurable swarm robots for structural health monitoring: a brief review

Wei-Min Shen, Sami F. Masri, Mohammad R. Jahanshahi, 2017, International Journal of Intelligent Robotics and Applications.

Accurate and Robust Scene Reconstruction in the Presence of Misassociated Features for Aerial Sensing

David S. Bayard, Mohammad R. Jahanshahi, Fu-Chen Chen, 2017, J. Comput. Civ. Eng..

Parametric Performance Evaluation of Wavelet-Based Corrosion Detection Algorithms for Condition Assessment of Civil Infrastructure Systems

Sami F. Masri, Mohammad R. Jahanshahi, S. Masri, 2013, J. Comput. Civ. Eng..

Adaptive vision-based crack detection using 3D scene reconstruction for condition assessment of structures

Sami F. Masri, Mohammad R. Jahanshahi, S. Masri, 2012 .

Inexpensive Multimodal Sensor Fusion System for Autonomous Data Acquisition of Road Surface Conditions

Burcin Becerik-Gerber, Sami F. Masri, John P. Caffrey, 2016, IEEE Sensors Journal.

Data fusion approaches for structural health monitoring and system identification: Past, present, and future

Rih-Teng Wu, Mohammad R. Jahanshahi, Rih-Teng Wu, 2018, Structural Health Monitoring.

Evaluation of deep learning approaches based on convolutional neural networks for corrosion detection

Mohammad R. Jahanshahi, Deegan J. Atha, M. Jahanshahi, 2018 .

Color and depth data fusion using an RGB‐D sensor for inexpensive and contactless dynamic displacement‐field measurement

Mohammad R. Jahanshahi, Sami F. Masri, Yulu Luke Chen, 2017 .

Nondestructive vision-based approaches for condition assessment of structures

Mohammad R. Jahanshahi, Sami F. Masri, 2011, Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

Adaptive and Cost-Effective Collection of High-Quality Data for Critical Infrastructure and Emergency Management in Smart Cities—Framework and Challenges

Elisa Bertino, Mohammad R. Jahanshahi, 2018, ACM J. Data Inf. Qual..

Pruning Deep Neural Networks for Efficient Edge Computing in Internet of Things: A Structural Health Monitoring Case Study

Elisa Bertino, Rih-Teng Wu, Ankush Singla, 2019 .

A texture‐Based Video Processing Methodology Using Bayesian Data Fusion for Autonomous Crack Detection on Metallic Surfaces

Rih-Teng Wu, Mohammad R. Jahanshahi, Chris Joffe, 2017, Comput. Aided Civ. Infrastructure Eng..

Progressive image stitching algorithm for vision based automated inspection

Wei-Min Shen, Uvais Qidwai, Sami F. Masri, 2016, 2016 International Conference on Machine Learning and Cybernetics (ICMLC).

Unsupervised Approach for Autonomous Pavement-Defect Detection and Quantification Using an Inexpensive Depth Sensor

Burcin Becerik-Gerber, Farrokh Jazizadeh, Sami F. Masri, 2013 .

Application and Evaluation of Promising Image-Based Approaches for Condition Assessment of Bridge Structures

Gaurav S. Sukhatme, Sami F. Masri, Mohammad R. Jahanshahi, 2010 .

3D dynamic displacement-field measurement for structural health monitoring using inexpensive RGB-D based sensor

Uvais Qidwai, Mohammad R. Jahanshahi, Sami F. Masri, 2017 .

Automated defect classification in sewer closed circuit television inspections using deep convolutional neural networks

Dulcy M. Abraham, Tom Iseley, Mohammad R. Jahanshahi, 2018, Automation in Construction.

A Novel Crack Detection Approach for Condition Assessment of Structures

Sami F. Masri, Mohammad R. Jahanshahi, S. Masri, 2011 .

Computer-Aided Approach for Rapid Post-Event Visual Evaluation of a Building Façade

Mohammad R. Jahanshahi, Jongseong Choi, Chul Min Yeum, 2018, Sensors.

NB-CNN: Deep Learning-Based Crack Detection Using Convolutional Neural Network and Naïve Bayes Data Fusion

Mohammad R. Jahanshahi, Fu-Chen Chen, M. Jahanshahi, 2018, IEEE Transactions on Industrial Electronics.

ARF-Crack: rotation invariant deep fully convolutional network for pixel-level crack detection

Mohammad R. Jahanshahi, Fu-Chen Chen, M. Jahanshahi, 2020, Machine Vision and Applications.

An evaluation of image‐based structural health monitoring using integrated unmanned aerial vehicle platform

Mohammad R. Jahanshahi, Muhammad Ali Akbar, Uvais Qidwai, 2018, Structural Control and Health Monitoring.

Multi-Image Stitching and Scene Reconstruction for Evaluating Change Evolution in Structures

Sami F. Masri, Mohammad R. Jahanshahi, 2011 .

Deep learning‐based multi‐class damage detection for autonomous post‐disaster reconnaissance

Zheng Yi Wu, Rih-Teng Wu, Mohammad R. Jahanshahi, 2020, Structural Control and Health Monitoring.

A survey and evaluation of promising approaches for automatic image-based defect detection of bridge structures

Gaurav S. Sukhatme, Sami F. Masri, Mohammad R. Jahanshahi, 2009 .

Deep Learning-Based Automated Detection of Sewer Defects in CCTV Videos

Dulcy M. Abraham, Jack Chin Pang Cheng, Tom Iseley, 2020, J. Comput. Civ. Eng..

Automated Rutting Measurement Using an Inexpensive RGB-D Sensor Fusion Approach

Amir Golroo, Mohammad R. Jahanshahi, Sayna Firoozi Yeganeh, 2019, Journal of Transportation Engineering, Part B: Pavements.

Design of one-dimensional acoustic metamaterials using machine learning and cell concatenation

Rih-Teng Wu, Mohammad R. Jahanshahi, Fabio Semperlotti, 2021, Structural and Multidisciplinary Optimization.

Link Slab Details and Materials

Mohammad R. Jahanshahi, Julio A. Ramirez, Sandra Villamizar, 2019 .