A machine learning-driven framework accurately predicts MPA exposure and supports individualized dosing in childhood-onset LN.
The Massachusetts Institute of Technology (MIT) Center for Transportation & Logistics and Mecalux have developed an artificial intelligence-based simulator designed to optimise inventory distribution ...
Read more about AI and machine learning drive digital transformation across global mining operations on Devdiscourse ...
Abstract: The current aquaculture industry is facing dual challenges of dynamic environment and multitasking demands. This article proposes a targeted dynamic task priority adjustment mechanism based ...
Abstract: Hybrid energy storage systems (HESS) in microgrids(MGs) enhance efficiency and performance. HESS offers high energy density, rapid response, and long-duration storage, but scheduling is ...