The rapid uptake of supervised machine learning (ML) in clinical prediction modelling, particularly for binary outcomes based on tabular data, has sparked debate about its comparative advantage over ...

All numerical experiments are reproducible from publicly available data. The codebase is written in MATLAB and is structured for clarity, modularity, and scientific correctness. Diffusion-weighted MRI ...

A research team from Northeastern University has shown that they could manipulate core systems inside the Tesla operating environment by exploiting vulnerabilities in the vehicle’s internal networking ...

As global power grids transition from centralized fossil-based generation to decentralized, renewable sources, system stability has become a critical challenge. The phasing out of synchronous ...

Sarcopenia has a high incidence among patients undergoing maintenance hemodialysis (MHD), significantly increasing the risk of falls, fractures, and mortality. Traditional diagnostic methods, however, ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...

Former OpenAI CTO Mira Murati's new venture, Thinking Machines Lab, has launched Tinker, a flexible API for fine-tuning AI models, backed by a $2B seed round. Thinking Machines Lab, the high-profile ...

A rotating cylinder with its side cut away to expose the core, showing patches of purple, blue, green, yellow, and orange that are dense in the middle and more diffuse toward the edges. This rotating ...

Abstract: Synchronous machines form the principal source of electrical power in power systems. Modeling of the synchronous machines for transient analysis has always been an active topic of research.