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Uma Maheswari on Muck Rack

Uma Maheswari

As seen in: Frontiers, MDPI, ACS Publications, Royal Society of Chemistry, Sulekha, Dialnet - Universidad de La Rioja, Journal of Cleft Lip Palate and Craniofacial Anomalies

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Articles

Computer Science > Machine Learning

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By Uma Maheswari, Raghuram Bharadwaj
| arXiv
Model-Agnostic Meta-Learning (MAML) is a widely used framework for reinforcement learning (RL) that enables efficient transfer by learning global policy parameters that can be rapidly adapted to new tasks. MAML training proceeds in two loops: an inner loop where the global parameters are adapted to task-specific parameters, and an outer loop where these task-specific parameters are evaluated and losses are back-propagated to improve the global parameters.
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TinyViT: Field Deployable Transformer Pipeline for Solar Panel Surface Fault and Severity Screening

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By Mohamed Mansoor Roomi, Uma Maheswari
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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Synergistic effects of titanium dioxide nanoparticles and microplastics on lentil seeds by a non-invasive biospeckle optical coherence tomography

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By Uma Maheswari
| Frontiers
Abstract Titanium dioxide nanoparticles (TiO2 NPs) are used in agriculture, cosmetics, energy, and environmental applications, necessitating advanced methods to evaluate their effects on biological systems such as plant growth.
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