Frontiers

Hybrid Hydroinformatics: Integrating Machine Learning and Process-Based Modeling for Climate-Resilient Water Systems

The hydrologic system is subjected unprecedented stresses and increasing demands driven by climate variabilities, landuse changes, groundwater ...
Frontiers

Early Warning Systems for Coastal and Nearshore Infrastructure: Integrating Forecasting, Data Assimilation, and Machine Learning

Coastal and nearshore zones face growing pressure from storms, flooding, erosion, and sea-level rise, which threaten civil infrastructure such as ports, ...

Saturday Citations: Predicting earthquakes; two types of water; observing event horizons

Howdy, pards, here's a quick roundup of the week's science news: Moose, previously thought to be a transplanted species, are ...

Hidden seismicity patterns before large earthquakes uncovered

When and where the next large earthquake will strike remains one of the most difficult questions in geoscience. Researchers ...
Informationsdienst Wissenschaft

New measurement campaign improves weather forecasts for thunderstorms and heavy rain

Leibniz-Institut für Troposphärenforschung e. V. Leibniz-Institut für Troposphärenforschung e. V.
IEEE

Solving Multiobjective Combinatorial Optimization via Learning to Improve Method

Abstract: Recently, neural combinatorial optimization (NCO) methods have been prevailing for solving multiobjective combinatorial optimization problems (MOCOPs). Most NCO methods are based on the ...
IEEE

Continual Learning With Neuromorphic Computing: Foundations, Methods, and Emerging Applications

Abstract: The challenging deployment of compute- and memory-intensive methods from Deep Neural Network (DNN)-based Continual Learning (CL), underscores the critical need for a paradigm shift towards ...