SCE-UA is a lightweight Python package implementing the Shuffled Complex Evolution (SCE-UA) algorithm for global optimization. Designed primarily for hydrological model calibration, it leverages NumPy ...

Model2Vec is a technique to turn any sentence transformer into a really small static model, reducing model size by a factor up to 50 and making the models up to 500 times faster, with a small drop in ...

ABSTRACT: Cameroon’s energy security hangs precariously in the balance as accelerated hydroelectric dam development becomes a vital strategic lever nationwide suddenly. This dynamic has frequently ...

ABSTRACT: Pronounced seasonal variability inherent in tropical river flow regimes greatly hinders rational exploitation of Cameroon’s considerable hydroelectric potential. Instability can severely ...

A new method for accelerating the maturation of neuronal cell models and brain organoids is poised to make it possible to track the etiology of neurodegenerative diseases that develop over decades.

Abstract: This study proposes HydroCortex, a unified optimization framework for water resource management that explicitly integrates deep learning-based hydrological forecasting with constraint-aware ...

Introduction Waterborne diseases are leading concerns in emergencies. Humanitarian guidelines stipulate universal water chlorination targets, but these fail to reliably protect water as ...

Abstract: The increasing frequency and severity of storms due to climate change is magnifying flooding impacts. The Internet of Things (IoT) revolution promises more ubiquitous sensing capabilities.