3 citations · 5 across the 5 of their papers we have counts for
6 papers
TEMPL: A Resource-Efficient and Transparent Model-Free Framework for Pseudo-Label Generation in Material CT Scans
Ashiqur Rahman, Venkata Devesh Reddy Seethi, Austin Yunker +2
The scarcity of large annotated datasets limits deep learning (DL) segmentation in material CT analysis. DL-based pseudo-labeling can help, but it is often computationally expensiv…
Proposing a Framework for Machine Learning Adoption on Legacy Systems
Ashiqur Rahman, Hamed Alhoori
The integration of machine learning (ML) is critical for industrial competitiveness, yet its adoption is frequently stalled by the prohibitive costs and operational disruptions of…
Effective Defect Detection Using Instance Segmentation for NDI
Ashiqur Rahman, Venkata Devesh Reddy Seethi, Austin Yunker +3
Ultrasonic testing is a common Non-Destructive Inspection (NDI) method used in aerospace manufacturing. However, the complexity and size of the ultrasonic scans make it challenging…
Public interest in science or bots? Selective amplification of scientific articles on Twitter
Ashiqur Rahman, Ehsan Mohammadi, Hamed Alhoori
With the remarkable capability to reach the public instantly, social media has become integral in sharing scholarly articles to measure public response. Since spamming by bots on s…
Cutting through the noise to motivate people: A comprehensive analysis of COVID-19 social media posts de/motivating vaccination
Ashiqur Rahman, Ehsan Mohammadi, Hamed Alhoori
The COVID-19 pandemic exposed significant weaknesses in the healthcare information system. The overwhelming volume of misinformation on social media and other socioeconomic factors…
Visualizing Relation Between (De)Motivating Topics and Public Stance toward COVID-19 Vaccine
Ashiqur Rahman, Hamed Alhoori
While social media plays a vital role in communication nowadays, misinformation and trolls can easily take over the conversation and steer public opinion on these platforms. We saw…