Automated Author ProfileMansur, Ahmed Al
Green University of Bangladesh
Mansur, Ahmed Al
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 1.8 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Replication Data for Remote Damage Detection of Power Plants using Deep Learning-based drone image analysisThermal Solar, Large Solar, Small Solar, Wind turbine image dataset of drone inspection with damages annotated. Some of the images being collected from the following reference.Estefanía Alfaro-Mejía, Humberto Loaiza-Correa, Edinson Franco-Mejía, Andrés David Restrepo-Girón, Sandra Esperanza Nope-Rodríguez, Dataset for recognition of snail trails and hot spot failures in monocrystalline Si solar panels, Data in Brief, Volume 26, 2019, 104441, ISSN 2352-3409, https://doi.org/10.1016/j.dib.2019.104441.S. Mehta, A. P. Azad, S. A. Chemmengath, V. Raykar, and S. Kalyanaraman, DeepSolarEye: Power Loss Prediction and Weakly Supervised Soiling Localization via Fully Convolutional Networks for Solar Panels," 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), Lake Tahoe, NV, 2018, pp. 333-342.Shihavuddin, A.S.M., Chen, X., Fedorov, V., Nymark Christensen, A., Andre Brogaard Riis, N., Branner, K., Bjorholm Dahl, A. and Reinhold Paulsen, R., 2019. Wind turbine surface damage detection by deep learning aided drone inspection analysis. Energies, 12(4), p.676.
Authors
- Shihavuddin, ASM ;
- Ahmmad Rashid, Mohammad Rifat ;
- Chen, Xiao ;
- Maruf, Md Hasan ;
- UL Haq, Mohammad Asif ;
- Abul Hasan, Muhammad ;
- Mansur, Ahmed Al