Falls are unusual actions that cause a significant health risk among older people. The
growing percentage of people of old age requires urgent development of fall detection and …

Slope stability prediction research is a complex non-linear system problem. In carrying out
slope stability prediction work, it often encounters low accuracy of prediction models and …

Background: Two-year delay is reported between the first developmental concern raised by
the parents and the diagnosis of ASD (Autism Spectrum Disorder), delaying the start of early …

Oral mucosal lesions (OML) and oral potentially malignant disorders (OPMDs) have been
identified as having the potential to transform into oral squamous cell carcinoma (OSCC) …

This paper investigates the asymptotic behavior of the soft-margin and hard-margin support
vector machine (SVM) classifiers for simultaneously high-dimensional and numerous data …

The increasing demand for electricity in daily life highlights the need for Smart Cities (SC) to
use energy efficiently. Both technical and Non‐Technical Losses (NTL), particularly those …

Pain assessment is a challenging task encountered by clinicians. In clinical settings,
patients' self-report is considered the gold standard in pain assessment. However, patients …

This paper examines the distribution of eigenvalues for a 2× 2 random confusion matrix
used in machine learning evaluation. We also analyze the distributions of the matrix's trace …

Discriminative subspace learning is an important problem in machine learning, which aims
to find the maximum separable decision subspace. Traditional Euclidean-based methods …

Introduction Pain assessment is extremely important in patients unable to communicate and
it is often done by clinical judgement. However, assessing pain using observable indicators …