Abstract: Early fault classification using the Motor Current Signature Analysis approach is extremely challenging for many reasons: prior knowledge of the descriptive parameters of the acquired stator ...

1 Department of Plant Production, College of Agriculture and Food, Qassim University, Buraydah, Qassim, Saudi Arabia 2 Department of Environment and Natural Resources, College of Agriculture and Food, ...

Inside living cells, mitochondria divide, lysosomes travel, and synaptic vesicles pulse—all in three dimensions (3Ds) and constant motion. Capturing these events with clarity is vital not just for ...

Abstract: The principal component analysis approach (PCAA) for the location of the power system fault in a 150 km length, 400 kV and 50 Hz, Thyristor-Controlled Series- Compensated Transmission Line ...

Nuclear imaging for industrial process analysis and non-destructive component testing has been around for longtime, but progression and innovation in this field has been limited and not as advanced ...

Principal component analysis (PCA) is one of the most common exploratory data analysis techniques with applications in outlier detection, dimensionality reduction, graphical clustering, and ...

MATLAB, short for Matrix Laboratory, is a high-level programming language and software environment developed by MathWorks. It excels in numerical computation, data analysis, and algorithm development.

ABSTRACT: Purpose: This study aimed to enhance the prediction of container dwell time, a crucial factor for optimizing port operations, resource allocation, and supply chain efficiency. Determining an ...