An Australian research team has developed a five-step, rule-based method that detects and classifies underperformance in PV systems using only AC-side inverter data. Validated across more than 1,000 ...
The researchers measured the variation in DNA methylation patterns to develop the method and applied it to multiple types of cancer.
Information and communication technology (ICT) is crucial for maintaining efficient communications, enhancing processes, and enabling digital transformation. As ICT becomes increasingly significant in ...
Digital timecards are widely used in construction to track labor hours, equipment usage, and productivity, yet they are prone to outliers caused by human error, inconsistent reporting, and interface ...
ABSTRACT: A degenerative neurological condition called Parkinson disease (PD) that evolves progressively, making detection difficult. A neurologist requires a clear healthcare history from the ...
Abstract: Outlier detection remains a key challenge in data analysis, with applications spanning cybersecurity, finance, medicine, and more. This paper introduces a comprehensive evaluation framework ...
This repository contains a Python-based automated outlier detection framework. It is designed to process datasets containing numerical time-series data and detect anomalies using various statistical ...
Researchers have developed a light-induced DNA detection method that enables rapid, PCR-free genetic analysis. Their technique offers ultra-sensitive mutation detection in just five minutes, reducing ...
Detecting macro-defects early in the wafer processing flow is vital for yield and process improvement, and it is driving innovations in both inspection techniques and wafer test map analysis. At the ...
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