Library that combines control engineering, dynamic simulation and machine learning on time-series. Developed to describe industrial processes and -automation. Lightweight, robust and fast for use in ...

This repository is a related to all about Machine Learning - an A-Z guide to the world of Data Science. This supplement contains the implementation of algorithms, statistical methods and techniques ...

Forensic science plays a pivotal role in criminal investigations, and among its many challenges, estimating the post-mortem ...

The pedigrees of those who quit were quite remarkable. They included one of the best known and most vocal defenders of ...

Anchor] In the new year, "Great games" will be released one after another, with each game company putting all their efforts ...

The study highlights poor outcomes for leukaemia patients with a history of myelodysplastic syndrome treatment and related ...

Postpartum depression is a leading cause of maternal morbidity and mortality and is associated with deleterious long-term ...

To address this issue, this study proposes a multivariate forecasting method suitable for soil temperature forecasting. Initially, the influence of various environmental factors on soil temperature is ...

Disability is a significant risk factor for lower quality of life (QOL) and increased caregiver burden among children with ...

However, a single DNM has never been extended to quaternion domains and has not been applied to multivariate prediction tasks. In this work, we first generalize the real-valued DNM to the quaternion ...

Abstract: Time series anomaly detection is critical to securing the Industrial Internet of Things (IIoT). Although numerous deep learning-based methods have been proposed, these methods fail to ...

The following is a summary of “Exploring autism spectrum disorder and co-occurring trait associations to elucidate ...