ABSTRACT: This study evaluates the projected impacts of climate change on surface water availability in the Diaguiri River Basin, a sub-catchment of the Gambia River in West Africa, using the ...

Abstract: The paper proposes using alternative loss functions beyond mean squared error (MSE) for geoscience image regression tasks with neural networks. The ...

Note to readers: The News-Press and Naples Daily News recently caught up with Amy Siewe, famously known as the Python Huntress. Siewe gave a lecture at J.N. Ding Darling National Wildlife Refuge on ...

Abstract: This work addresses the design of resilient estimators for stochastic systems. To this end, we introduce a minimum mean-squared error resilient (MMSE-R ...

The race is uncertain, but that doesn’t mean the outcome will be close. In the final days before the 2020 presidential election, polls generally pointed to a clear victory for now-President Joe Biden.

ABSTRACT: The incidence of prediabetes is in a dangerous condition in the USA. The likelihood of increasing chronic and complex health issues is very high if this stage of prediabetes is ignored. So, ...

The Cerebros package is an ultra-precise Neural Architecture Search (NAS) / AutoML that is intended to much more closely mimic biological neurons than conventional neural network architecture ...

Add a description, image, and links to the mean-squared-error topic page so that developers can more easily learn about it.