Fujitsu today announced the successful development of a technology for molecular dynamics (MD) simulation that enables atomic ...

By linking these technologies, Fujitsu aims to establish a new materials development workflow that accelerates materials ...

AI transforms RF engineering through neural networks that predict signal behavior and interference patterns, enabling proactive system optimization and enhanced performance. The convergence of machine ...

Reliable estimation of Chlorophyll-a concentration (Chl-a) from remotely sensed data is essential for monitoring the health of aquatic ecosystems and supporting environmental policy decisions (El ...

Although electroencephalogram (EEG) is widely used to monitor brain activity in epilepsy, limitations related to the accessibility and reproducibility of measurements may restrict its everyday use.

It can be seen that the global efficiency curves of the three layers are slightly different. More specifically, the RK layer shows the most obvious downward trend, while the RV layer has the slowest ...

Build your first neural network step by step! Learn how a perceptron works by coding it from the ground up—no libraries, just Python. FCC chair issues warning to ...

ABSTRACT: We explore the performance of various artificial neural network architectures, including a multilayer perceptron (MLP), Kolmogorov-Arnold network (KAN), LSTM-GRU hybrid recursive neural ...

Abstract: Interharmonics diagnosis is increasingly important due to the rise of power electronic devices, renewable energy systems, and related technologies. The IEC 61000-4-7 standardizes the ...