Accurate streamflow estimation is essential for effective water resource management and
adapting to extreme events in the face of changing climate conditions. Hydrological models …

We propose a novel time window-based analysis technique to investigate the convergence
behavior of the stochastic gradient descent method with momentum (SGDM) in nonconvex …

Taste is crucial in driving food choice and preference. Umami is one of the basic tastes
defined by characteristic deliciousness and mouthfulness that it imparts to foods …

Assigning a query individual animal or plant to its derived population is a prime task in
diverse applications related to organismal genealogy. Such endeavors have conventionally …

The rapid development of Artificial Intelligence has made it possible for applying DFT to the
design of complex catalysts. This paper investigates the effectiveness of Graph Neural …

Efficient and high-accuracy filtering of cryo-electron microscopy (cryo-EM) micrographs is an
emerging challenge with the growing speed of data collection and sizes of datasets …

Exercise-based rehabilitation programs have proven to be effective in enhancing the quality
of life and reducing mortality and rehospitalization rates. AI-driven virtual rehabilitation …

Background Radiographic evaluation of the implant configuration after reverse shoulder
arthroplasty (RSA) is time-consuming and subject to interobserver disagreement. The final …

We present ArtiDock-the deep learning technique for predicting ligand poses in the protein
binding pockets (aka" AI docking"), which is based on augmenting inherently limited training …

Im urbanen Raum, insbesondere vor signalisierten Knotenpunkten, entstehen die meisten
Emissionen des Straßenverkehrs. Eine Möglichkeit, um diese Emissionen zu senken, sind …