The smart stethoscope "quickly delivers" an indication of whether someone has heart failure, atrial fibrillation or heart ...

This repository contains the implementation of a novel multi-agent reinforcement learning approach for molecular optimization and drug discovery, combining genetic algorithms with deep reinforcement ...

Scanning electron microscopy (SEM) images are already a common staple of battery research. Now, they can be paired with a simple algorithm to enable better prediction of lithium metal battery ...

During his final years as an Army commander, retired Col. Victor Suarez began noticing a troubling trend that put troops at risk in the battlefield, and Americans at home too. "We found that basic ...

Abstract: The Traveling Salesman Problem (TSP), a classic combinatorial optimization problem, has been extensively studied for many years. Recently, the Multi-solution Traveling Salesman Problem ...

Right now, quantum computers are small and error-prone compared to where they'll likely be in a few years. Even within those limitations, however, there have been regular claims that the hardware can ...

Institute of Logistics Science and Engineering of Shanghai Maritime University, Pudong, China Introduction: This study addresses the joint scheduling optimization of continuous berths and quay cranes ...

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An analysis of data from the Twins Early Development Study revealed that the association between ADHD symptoms and emotional problems increased in magnitude from ...

This paper introduces an optimized planning approach for integrating photovoltaic as distributed generation (PV-DG) into the radial distribution power systems, utilizing exhaustive load flow (ELF), ...