Publications by authors named "Akhil Thomas"

Article Synopsis
  • Large language models learn language patterns through statistical methods, while ontologies provide symbolic knowledge that can enhance these models; both can work together effectively.
  • The MaterioMiner dataset links materials mechanics concepts with textual data, featuring 179 classes annotated by three raters across four publications, leading to a total of 2191 curated entities.
  • The study also evaluates annotation consistency among raters and demonstrates how pre-trained language models can be fine-tuned for named entity recognition, paving the way for advances in materials language models and knowledge graph creation.
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Concerns about fishmeal use and its ecological footprints must be addressed for the aquaculture industry to move on as a sustainable food production sector. Through recent research outcomes, the insect-based meals in fish diets have promise and harnessed promises for commercial applications. In this midst, the efficiency of the selected insects in valorizing biological waste, as well as the nutritional profile of the harvested insects for use in fish diets, will be the driving forces behind such an approach.

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The local prediction of fatigue damage within polycrystals in a high-cycle fatigue setting is a long-lasting and challenging task. It requires identifying grains tending to accumulate plastic deformation under cyclic loading. We address this task by transcribing ferritic steel microtexture and damage maps from experiments into a microstructure graph.

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Objectives: Mask adherence continues to be a critical public health measure to prevent transmission of aerosol pathogens, such as SARS-CoV-2. We aimed to develop and deploy a computer vision algorithm to provide real-time feedback of mask wearing among staff in a hospital.

Design: Single-site, observational cohort study.

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Article Synopsis
  • The COVID-19 pandemic has led to the development of contactless patient evaluation methods in hospitals to reduce virus transmission and conserve protective gear.
  • A mobile robotic system named Dr. Spot has been created to remotely monitor vital signs such as skin temperature, respiratory rate, and heart rate, allowing healthcare workers to maintain social distancing.
  • The system uses advanced techniques to improve measurement accuracy, achieving significant reductions in temperature error and providing reliable monitoring results in various conditions and distances.
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Automated, reliable, and objective microstructure inference from micrographs is essential for a comprehensive understanding of process-microstructure-property relations and tailored materials development. However, such inference, with the increasing complexity of microstructures, requires advanced segmentation methodologies. While deep learning offers new opportunities, an intuition about the required data quality/quantity and a methodological guideline for microstructure quantification is still missing.

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The digitization of materials is the prerequisite for accelerating product development. However, technologically, this is only beneficial when reliability is maintained. This requires comprehension of the microstructure-driven fatigue damage mechanisms across scales.

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