Advanced assistive devices developed for activities of daily living use machine learning
(ML) for motion intention detection using wearable sensors. Trunk assistive devices provide …

With the widespread expansion of telecommunication networks, the increase in the number
and complexity of base stations has led to an exponential growth in the volume of alarms …

Background & Aims Diagnosis of adenocarcinoma in the liver is a frequent scenario in
routine pathology and has a critical impact on clinical decision making. However, rendering …

Large-scale data from private companies offer new opportunities to examine topics of
scientific and social significance, such as racial inequality, partisan polarization, and activity …

Background Predicting individual weight loss (WL) responses to lifestyle interventions is
challenging but might help practitioners and clinicians select the most promising approach …

Multiclass classification problems are often addressed by decomposing them into a set of
binary classification tasks. A critical step in this approach is the effective aggregation of …

This work addresses the challenge of classifying multiclass visual EEG signals into 40
classes for brain–computer interface applications using deep learning architectures. The …

Sign language is the primary form of communication for individuals with auditory impairment.
In Bangladesh, Bangla Sign Language (BdSL) is widely used among the hearing-impaired …

The aesthetic component (AC) of the Index of Orthodontic Treatment Need (IOTN) is
internationally recognized as a reliable and valid method for assessing aesthetic treatment …

Perfume identification (PI) based on an electronic nose (EN) can be used for exposing
counterfeit perfumes more time-efficiently and cost-effectively than using gas …