Learn how to calculate hazard rate, its practical implications in engineering and finance, and why it's critical in ...

Abstract: Reliable and accurate wind power prediction is fundamental for efficient operation of wind energy system. However, the stochasticity and volatility cause a lot of colored noises, making wind ...

In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...

Detailed price information for Arizona Sonoran Copper Company Inc (ASCU-T) from The Globe and Mail including charting and trades.

Abstract: Often, while transmitting measurements from a sensor over a communication channel, the channel may be susceptible to cyber-attacks. Thus, the received measurements are corrupted with false ...

This valuable study analyzes aging-related chromatin changes through the lens of intra-chromosomal gene correlation length, which is a novel computational metric that captures spatial correlations in ...

Conspecific negative density dependence (CNDD) has been considered a cornerstone of species coexistence in highly diverse ...

Trained on quantum data, a new model makes computations more accurate while keeping computer costs low ...

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...

This is a repository with source code for the paper "DapFall: Dynamic Amplitude Probability Density Profile based WiFi CSI Sensing for Fall Detection" . Using Wi-Fi Channel State Information (CSI) is ...