Abstract: Modern manufacturers often require handling multiple tasks simultaneously under dynamic environments by sharing constrained machines. Existing multitask scheduling algorithms typically focus ...

Abstract: Accurate simulation of robotic milling forces is difficult owing to the coupled effects of pose-dependent dynamics and cutting geometry. In this study, a force-position coupling iterative ...

In the event of an upstream grid fault, the Active Distribution Network (ADN) can switch to autonomous operation, coordinating controllable Distributed Generators (DGs) and Energy Storage Systems (ESS ...

A fault-tolerant distributed task scheduling system implemented in Python using FastAPI. The project simulates a distributed computing environment in which a central scheduler assigns tasks to ...

Atieh AI is a real-world decision intelligence prototype designed to demonstrate how operational clinic data can be transformed into actionable insights through AI-driven analysis. The system combines ...