Automated Organization ProfileAssistant Professor, University of Liberal Arts Bangladesh
Assistant Professor, University of Liberal Arts Bangladesh
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets in this organization
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the organization's datasets
Total Mentions
Total mentions of the organization'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: 12.2 (sum of 3 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The capital city of Dhaka has only 7% traffic roads (compared to 25% urban standard) in presence of approximately 8 million computers a day with in 306 sq km area. The senario of Dhaka traffic is unique which poses complex new challanges in terms of automated traffic detection. To solve the problem using advances in AI-based technology and ICT solutions, we are calling for splutions to automatic Dhaka traffic detection problems on optical images. This new AI-Based Dhaka Traffic Detection Challenge aims at accessing the ability of state-of-the-art methods to detect and recognize traffic vehicles. This solution is encountered in mordern cities where multile cultures live and communicate together, where users see various scripts and languages in a way that prevents using much a priori knowledge. Alos, at the same time, the academics and researches from region who are experts in AI or interested in exploring possibilities could be brought to a networking community throug this campaign. Working together on a common problem statement can create the right synergies needed to build AI-based community in South-East Asia.
Authors
- Shihavuddin, ASM ;
- Ahmmad Rashid, Mohammad Rifat
:unav
Authors
- Shihavuddin, ASM ;
- Rashid, Mohammad Rifat Ahmmad