Abstract: This paper introduces EcoSwarm, a bio-inspired hybrid optimization algorithm aimed at enhancing cost efficiency and charge management in electric vehicle (EV) fleets. EcoSwarm leverages ...
Background Artificial intelligence ECG (AI-ECG) models can predict cardiovascular outcomes, but their clinical adoption is limited by restricted access to training data and uncertain generalisability.
This project proposes a generative framework integrating diffusion transformers with a novel algebraic language representation, encoding 3D shell metamaterial geometries as mathematical sentences for ...
Abstract: This study presents a machine learning approach for rapid and accurate prediction of sugar yield per metric ton of sugarcane, using multiple physicochemical and environmental parameters.
A wall of blackened storm clouds, backlit by flashes of lightening and announced by rolling thunder, gathers and grows the western sky. While in Burlington area backyards, the birds go silent and the ...
An adjusted preoperative prediction model demonstrated acceptable performance in forecasting patient postoperative opioid requirements, underscoring the need to utilize this model in the clinical ...
Google launched its Gemma 4 open models this spring, promising a new level of power and performance for local AI. Google’s take on edge AI could be getting even faster already with the release of ...
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