Abstract: Numerical optimization-based solution to directional overcurrent relay (DOCR) coordination problem has been a widely addressed research problem in the recent past. Many linear (LP), ...

PyTorch code for SpERT: "Span-based Entity and Relation Transformer". For a description of the model and experiments, see our paper: https://arxiv.org/abs/1909.07755 ...

Economic Viability Evaluated under METI's "FY2023 Supplementary Funds for The Global South Future-Oriented Co-Creation Program" --- An analysis was conducted, in collaboration with Hygenco-MHI's partn ...

Trevor Bonjour, a UC San Diego computer science teaching professor and one of the lead faculty in the AI program, teaching the CSE25: Intro to AI course. Photos by David Baillot / Jacobs School of ...

The generative AI era began for most people with the launch of OpenAI's ChatGPT in late 2022, but the underlying technology — the "Transformer" neural network architecture that allows AI models to ...

We developed a novel algorithm to train robust decision tree based models (notably, Gradient Boosted Decision Tree). This repo contains our implementation under the XGBoost framework. We plan to merge ...

The accessibility of medical services in Mainland China had been on the rise, leading to a surge in the number of Magnetic Resonance Imaging (MRI) scans. This increase had caused substantial delays in ...

Livestock feed formulation has significant impacts on livestock production and the environment. Linear and nonlinear constraints, framed as nutritional requirements and specific objectives, present a ...

In the evolving landscape of decision intelligence, few mathematical breakthroughs have had as profound an impact as linear programming. At the heart of this revolutionary approach stands a brilliant ...

Mixed Integer Linear Programming (MILP) is essential for modeling complex decision-making problems but faces challenges in computational tractability and requires expert formulation. Current deep ...