Abstract: This article introduces a learning-based model predictive control (MPC) framework that leverages Gaussian mixture models (GMMs) to address dynamic system uncertainties effectively. To ...

Abstract: Path tracking is a core technology for autonomous vehicles. Model predictive control (MPC) is well recognized as one of the promising approaches in this field. This article presents an ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...

The expanded program is seven times larger than initial survey and aims to define the full extent of a 900-metre-deep system that widened at depth and remained open beyond previous survey limits ...

Taming PDFs doesn’t have to be a headache. Between slow editing, messy conversions, and clunky annotations, handling documents can eat up time and patience. PDF Agile Premium brings all the essential ...

Objective: This systematic review intends to systematically assess the application status and accuracy of ML in predicting KOA progression, and compare the predictive performance of ML, traditional ...

While Gemini 3 is still making waves, Google's not taking the foot off the gas in terms of releasing new models. Yesterday, the company released FunctionGemma, a specialized 270-million parameter AI ...

Microsoft's New On-Device AI Model Can Control Your PC The 16.6GB 'Fara-7B' model is smart enough to handle buying something online or booking online travel on behalf of the user. Importantly, it runs ...

During the peer-review process the editor and reviewers write an eLife assessment that summarises the significance of the findings reported in the article (on a scale ranging from landmark to useful) ...