Search Results - "Ghosh Mondal, Tarutal"

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  1. 1

    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

    Published in Structural control and health monitoring (01-04-2020)
    “…Timely assessment of damages induced to buildings due to an earthquake is critical for ensuring life safety, mitigating financial losses, and expediting the…”
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    Journal Article
  2. 2

    Fusion of color and hallucinated depth features for enhanced multimodal deep learning-based damage segmentation by Mondal, Tarutal Ghosh, Jahanshahi, Mohammad Reza

    “…Recent advances in computer vision and deep learning have shown that the fusion of depth information can significantly enhance the performance of RGB-based…”
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    Journal Article
  3. 3

    Deep Learning-Based RGB-D Fusion for Multimodal Condition Assessment of Civil Infrastructure by Ghosh Mondal, Tarutal, Jahanshahi, Mohammad R., Wu, Zheng Yi

    Published in Journal of computing in civil engineering (01-07-2023)
    “…AbstractRecent advancements in the areas of computer vision and deep learning have broadened the scope of vision-based autonomous condition assessment of civil…”
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    Journal Article
  4. 4

    Artificial intelligence in civil infrastructure health monitoring—Historical perspectives, current trends, and future visions by Mondal, Tarutal Ghosh, Chen, Genda

    Published in Frontiers in built environment (23-09-2022)
    “…Over the past 2 decades, the use of artificial intelligence (AI) has exponentially increased toward complete automation of structural inspection and assessment…”
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    Journal Article
  5. 5

    Deep Learning–Based Autonomous Road Condition Assessment Leveraging Inexpensive RGB and Depth Sensors and Heterogeneous Data Fusion: Pothole Detection and Quantification by Huang, Yu-Ting, Jahanshahi, Mohammad R., Shen, Fangjia, Mondal, Tarutal Ghosh

    “…AbstractPoor condition of roads is a major factor for traffic accidents and damage to vehicles. A significant portion of car accidents is attributed to severe…”
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    Journal Article
  6. 6

    Multifunctional Models in Digital and Physical Twinning of the Built Environment—A University Campus Case Study by Chen, Genda, Alomari, Ibrahim, Taffese, Woubishet Zewdu, Shi, Zhenhua, Afsharmovahed, Mohammad Hossein, Mondal, Tarutal Ghosh, Nguyen, Son

    Published in Smart cities (Basel) (01-04-2024)
    “…The digital twin (DT) concept has been developed for a single function in previous studies. This study aims to empower DTs with a layered integration of…”
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    Journal Article
  7. 7

    Deep spatiotemporal fusion network for vision-based robotic inspection of structures by Mondal, Tarutal Ghosh, Shi, Zhenhua, Zhang, Haibin, Chen, Genda

    “…The convolutional neural networks commonly deployed for semantic understanding of visual inspection data can, in general, learn robust spatial features…”
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    Journal Article
  8. 8

    A Deep Learning-Informed Design Scheme for Shear Friction at Concrete-to-Concrete Interface: Recommendations for Inclusion in AASHTO LRFD Guidelines by Mondal, Tarutal Ghosh, Edgmond, Nikkolas, Sneed, Lesley, Chen, Genda

    Published in Transportation research record (01-04-2024)
    “…Recent advancements in construction technology have led to high-strength concrete and steel. However, these developments have depreciated the accuracy of the…”
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    Journal Article
  9. 9

    Early Detection of Pipeline Natural Gas Leakage from Hyperspectral Imaging by Vegetation Indicators and Deep Neural Networks by Ma, Pengfei, Mondal, Tarutal Ghosh, Shi, Zhenhua, Afsharmovahed, Mohammad Hossein, Romans, Kevin, Li, Liujun, Zhuo, Ying, Chen, Genda

    Published in Environmental science & technology (09-07-2024)
    “…The timely detection of underground natural gas (NG) leaks in pipeline transmission systems presents a promising opportunity for reducing the potential…”
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    Journal Article
  10. 10

    Effect of tension stiffening on the behaviour of reinforced concrete circular columns under torsion by Mondal, Tarutal Ghosh, Prakash, S. Suriya

    Published in Engineering structures (01-06-2015)
    “…•Tension stiffening effect on behaviour of RC circular columns under torsion is studied.•Three different tension stiffening models are considered for…”
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    Journal Article
  11. 11

    Analytical and finite element studies on behavior of FRP strengthened RC beams under torsion by Ganganagoudar, Anand, Mondal, Tarutal Ghosh, Suriya Prakash, S.

    Published in Composite structures (01-10-2016)
    “…This paper presents analytical and finite element (FE) studies on behavior of FRP (fiber reinforced polymer) composite strengthened reinforced concrete (RC)…”
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    Journal Article
  12. 12

    Nonlinear Finite-Element Analysis of RC Bridge Columns under Torsion with and without Axial Compression by Mondal, Tarutal Ghosh, Prakash, S. Suriya

    Published in Journal of bridge engineering (01-02-2016)
    “…AbstractFinite-element (FE) modeling of RC structures under combined loading has received considerable attention in recent years. However, the combination of…”
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    Journal Article
  13. 13

    Development of Multimodal Fusion-Based Visual Data Analytics for Robotic Inspection and Condition Assessment by Mondal, Tarutal Ghosh

    Published 01-01-2021
    “…This dissertation broadly focuses on autonomous condition assessment of civil infrastructures using vision-based methods, which present a plausible alternative…”
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    Dissertation
  14. 14

    Improved Softened Membrane Model for Reinforced Concrete Circular Bridge Columns under Torsional Loading by Ganganagoudar, Anand, Mondal, Tarutal Ghosh, Prakash, S. Suriya

    Published in Journal of bridge engineering (01-07-2016)
    “…AbstractThis paper presents an improved softened membrane model for the analysis of reinforced concrete (RC) circular bridge columns under torsion loading…”
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    Journal Article
  15. 15

    Reconfigurable swarm robots for structural health monitoring: a brief review by Jahanshahi, Mohammad R., Shen, Wei-Men, Mondal, Tarutal Ghosh, Abdelbarr, Mohamed, Masri, Sami F., Qidwai, Uvais A.

    “…Autonomous monitoring of infrastructure systems offers a promising alternative to manual inspection techniques which are mostly tedious, expensive and prone to…”
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    Journal Article