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11/08/2022
An Incremental Phase Mapping Approach for X-ray Diffraction Patterns using Binary Peak Representations
Despite the huge advancement in knowledge discovery and data mining tech...
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05/25/2022
Designing an Efficient End-to-end Machine Learning Pipeline for Real-time Empty-shelf Detection
On-Shelf Availability (OSA) of products in retail stores is a critical b...
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01/26/2021
A General Framework Combining Generative Adversarial Networks and Mixture Density Networks for Inverse Modeling in Microstructural Materials Design
Microstructural materials design is one of the most important applicatio...
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07/07/2019
IRNet: A General Purpose Deep Residual Regression Framework for Materials Discovery
Materials discovery is crucial for making scientific advances in many do...
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03/07/2019
Transfer Learning Using Ensemble Neural Nets for Organic Solar Cell Screening
Organic Solar Cells are a promising technology for solving the clean ene...
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11/14/2018