A BIM-based automated site layout planning framework for congested construction sites SS Kumar, JCP Cheng Automation in Construction 59, 24-37, 2015 | 225 | 2015 |
Automated defect classification in sewer closed circuit television inspections using deep convolutional neural networks SS Kumar, DM Abraham, MR Jahanshahi, T Iseley, J Starr Automation in Construction 91, 273-283, 2018 | 216 | 2018 |
Deep learning–based automated detection of sewer defects in CCTV videos SS Kumar, M Wang, DM Abraham, MR Jahanshahi, T Iseley, JCP Cheng Journal of Computing in Civil Engineering 34 (1), 04019047, 2020 | 111 | 2020 |
Social BIMCloud: a distributed cloud-based BIM platform for object-based lifecycle information exchange M Das, JCP Cheng, SS Kumar Visualization in Engineering 3, 1-20, 2015 | 56 | 2015 |
Automated sewer pipe defect tracking in CCTV videos based on defect detection and metric learning M Wang, SS Kumar, JCP Cheng Automation in Construction 121, 103438, 2021 | 43 | 2021 |
BIMCloud: a distributed cloud-based social BIM framework for project collaboration M Das, JCP Cheng, S Shiv Kumar Computing in Civil and Building Engineering (2014), 41-48, 2014 | 36 | 2014 |
A BIM-based framework for material logistics planning JCP Cheng, S Kumar 23rd Annual Conference of the International Group for Lean Construction, 33-42, 2015 | 28 | 2015 |
A BIM based construction site layout planning framework considering actual travel paths JCP Cheng, SS Kumar ISARC. Proceedings of the International Symposium on Automation and Robotics …, 2014 | 27 | 2014 |
A deep learning based automated structural defect detection system for sewer pipelines SS Kumar, DM Abraham ASCE International Conference on Computing in Civil Engineering 2019, 226-233, 2019 | 22 | 2019 |
Colloidal CsPbX3 (X= Cl, Br, I) Nanocrystals 2.0: Zwitterionic capping ligands for improved durability and stability. ACS Energy Lett 3: 641 F Krieg, ST Ochsenbein, S Yakunin, S Ten Brinck, P Aellen, A Suess, ... | 11 | 2018 |
Exposure estimates of chromeplaters in India: an exploratory study R Budhwar, M Das, V Bihari, S Kumar Biomarkers 10 (4), 252-257, 2005 | 10 | 2005 |
Comparison of technologies for condition assessment of small-diameter ductile iron water pipes SS Kumar, DM Abraham, SS Behbahani, JC Matthews, T Iseley Journal of Pipeline Systems Engineering and Practice 11 (4), 04020039, 2020 | 7 | 2020 |
ACS Energy Lett. 3, 641 (2018) F Krieg, ST Ochsenbein, S Yakunin, S Ten Brinck, P Aellen, A Süess, ... | 7 | |
Leveraging visualization techniques to develop improved deep neural network architecture for sewer defect identification SS Kumar, D Abraham, M Rosenthal Construction Research Congress 2020, 827-835, 2020 | 4 | 2020 |
Leveraging Big Data and Deep Learning for Economical Condition Assessment of Wastewater Pipelines SS Kumar Purdue University, 2020 | 2 | 2020 |
An evaluation of the failure modes and condition assessment technologies for small diameter ductile iron pipes SS Kumar, H Zamenian, DM Abraham, DT Iseley Construction Research Congress 2018, 678-687, 2018 | 2 | 2018 |
Using Backing Cameras to Prevent Work Zone Accidents Involving Mobile Equipment C Ferreira, SS Kumar, DM Abraham Practice Periodical on Structural Design and Construction 22 (4), 2017 | 2 | 2017 |
A BIM-based framework for site layout optimization and material logistics planning on congested construction sites SS Kumar | 2 | 2015 |
A hybrid framework for mining spatial characteristics of sewer defects from inspection databases SS Kumar, D Abraham, J Choi Urban Water Journal 19 (1), 51-61, 2022 | 1 | 2022 |
Intelligent water drop algorithm for workflow scheduling in cloud computing CB Sivaparthipan, J Rathinaraja, SS Kumar International Journal of Advance Information and Engineering Technology 9 (9 …, 2015 | 1 | 2015 |