Information and communication technology (ICT) is crucial for maintaining efficient communications, enhancing processes, and enabling digital transformation. As ICT becomes increasingly significant in ...

IC manufacturers are increasingly relying on intelligent data processing to prevent downtime, improve yields, and reduce scrap. They are integrating that with fault detection and classification (FDC) ...

Abstract: In the realm of data mining, outlier detection has emerged as a pivotal research focus, aimed at uncovering anomalies within datasets to extract meaningful and valuable insights. The ...

Abstract: Outlier detection for mixed data is one of the key research areas in data mining. Existing ensemble strategies typically combine outlier information from various data types to assess the ...

We are planning to use Istio’s circuit breaking feature and will first conduct tests in our test environment. We wrote a demo HTTP server in Java, which provides an endpoint /java-demo/hostname. This ...

ABSTRACT: In recent decades, the impact of climate change on natural resources has increased. However, the main challenges associated with the collection of meteorological data include the presence of ...

Laboratoire de Matériaux et Environnement (LAME), Université Joseph Ki-Zerbo, Ouagadougou, Burkina Faso. In recent decades, the impact of climate change on natural resources has increased. However, ...

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 ...

In southern Australia, a government agency is trialing the assistance of hardworking detection dogs to help locate a protected python species for improved conservation efforts, ABC News Australia ...