14 citations · 50 across the 14 of their papers we have counts for
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A Data-Efficient Sequential Learning Framework for Melt Pool Defect Classification in Laser Powder Bed Fusion
Ahmed Shoyeb Raihan, Austin Harper, Israt Zarin Era +4
Ensuring the quality and reliability of Metal Additive Manufacturing (MAM) components is crucial, especially in the Laser Powder Bed Fusion (L-PBF) process, where melt pool defects…
In-Situ Melt Pool Characterization via Thermal Imaging for Defect Detection in Directed Energy Deposition Using Vision Transformers
Israt Zarin Era, Fan Zhou, Ahmed Shoyeb Raihan +5
Directed Energy Deposition (DED) offers significant potential for manufacturing complex and multi-material parts. However, internal defects such as porosity and cracks can compromi…
A Comprehensive Approach to Carbon Dioxide Emission Analysis in High Human Development Index Countries using Statistical and Machine Learning Techniques
Hamed Khosravi, Ahmed Shoyeb Raihan, Farzana Islam +2
Reducing Carbon dioxide (CO2) emission is vital at both global and national levels, given their significant role in exacerbating climate change. CO2 emission, stemming from a varie…
An Augmented Surprise-guided Sequential Learning Framework for Predicting the Melt Pool Geometry
Ahmed Shoyeb Raihan, Hamed Khosravi, Tanveer Hossain Bhuiyan +1
Metal Additive Manufacturing (MAM) has reshaped the manufacturing industry, offering benefits like intricate design, minimal waste, rapid prototyping, material versatility, and cus…