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National Institute of Technology Tiruchirappalli
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Achieving high accuracy in resolving sharp boundary layers, the Petrov-Galerkin VPINN framework redefines how we approach two-dimensional singularly perturbed problems.
Starshaped set filtering slashes computation time and boosts robustness for robot planning in noisy environments, outperforming traditional convex optimization methods.
Finally, a virtualized industrial cybersecurity testbed allows researchers to emulate realistic, multi-stage APT attacks spanning IT, OT, and IIoT environments.
Robots can now adapt their safety behavior on the fly in response to changing real-world contexts, without needing pre-programmed rules or maps.
