Meat analogue products derived from plant protein sources have been widely regarded as valuable alternatives to conventional meat. The growing interest in meat alternatives stems primarily from public ...
ABSTRACT: Gearboxes are commonly used in rotary machines. Reliable fault diagnostics in gearboxes is of great importance to industries to improve production quality and reduce maintenance costs. In ...
This project implements Marginal Entropy Minimization with One Test Point (MEMO) for domain adaptation in image classification. It is based on the paper "MEMO: Test Time Robustness via Adaptation and ...
A time domain reflectometer (TDR) measures reflections along a cable. It is similar in principle to radar. To measure those reflections, the TDR transmits an incident signal into the cable and watches ...
ABSTRACT: This paper reviews fault identification and predictive maintenance techniques essential for the reliable operation of high-voltage power systems. The increasing integration of renewable ...
This valuable study employs transition-metal FRET (tmFRET) and time-correlated single-photon counting to investigate allosteric conformational changes in both isolated cyclic nucleotide-binding ...
Dayna Williams, Chief Experience Officer at The Myers-Briggs Company, brings 20+ years of expertise on leadership, teamwork and development. As a chief experience officer, I’ve encountered a common ...
A windowed sinc function can implement a low-pass filter, and a two-dimensional convolutional filter can blur or sharpen images. In part 3 of this series, we introduced a low-pass filter based on the ...
Objective: This study aims to develop a multimodal deep learning-based stress detection method (MMFD-SD) using intermittently collected physiological signals from wearable devices, including ...
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