Automated gesture recognition (GR) is applied to present feedback in a computerized learning environment for practising sign language (SL) knowledge for the deaf community. Globally, dumb and deaf ...

PyAerial is a Python implementation of the Aerial scalable neurosymbolic association rule miner for tabular data. It utilizes an under-complete denoising Autoencoder to learn a compact representation ...

The FP-Growth (Frequent Pattern Growth) algorithm is a breakthrough in association rule mining, offering a faster and more memory-efficient alternative to the Apriori algorithm. By eliminating the ...

As the realm of Financial Planning and Analysis (FP&A) continues to evolve, so does the demand for more advanced tools that enable professionals to deliver deeper insights from data. Excel has long ...

eDepartments of Physiology and Clinical Neurophysiology, BABA Center, Paediatric Research Center, Children's Hospital, Helsinki University Hospital and University of Helsinki, Helsinki, Finland In ...

PyCM is a multi-class confusion matrix library written in Python that supports both input data vectors and direct matrix, and a proper tool for post-classification model evaluation that supports most ...

Weed suppression is one of the greatest factors affecting crop production. The weeds could compete with crops for water, light, fertilizer, growth space, other nutrients, etc., resulting in reduction ...

Random Forests (RFs) are among the most successful machine-learning algorithms in terms of prediction accuracy. In many domain problems, however, the primary goal is not prediction, but to understand ...

The cervical ossification of the posterior longitudinal ligament (cOPLL) is sometimes misdiagnosed or overlooked on radiography. Thus, this study aimed to validate the diagnostic yield of our deep ...

Introduction: Intracranial aneurysms (IAs) are a common vascular pathology and are associated with a risk of rupture, which is often fatal. Aneurysm growth is considered a surrogate of rupture risk; ...