Recently, various sophisticated methods, including machine learning and artificial
intelligence, have been employed to examine health-related data. Medical professionals are …

Human action recognition (HAR) has gained significant attention recently as it can be
adopted for a smart surveillance system in Multimedia. However, HAR is a challenging task …

Online roadshow is a relatively new concept that has higher flexibility and scalability
compared to the physical roadshow. This is because online roadshow is accessible through …

Background Single-cell RNA sequencing (scRNA-seq) has emerged has a main strategy to
study transcriptional activity at the cellular level. Clustering analysis is routinely performed …

Advances in artificial intelligence in healthcare are frequently promoted as 'solutions' to
improve the accuracy, safety, and quality of clinical decisions, treatments, and care. Despite …

Background. SARS-CoV-2 infected patients are suggested to have a higher incidence of
thrombotic events such as acute ischemic strokes (AIS). This study aimed at exploring …

Companies, institutions or governments process large amounts of data for the development
of their activities. This knowledge usually comes from devices that collect data from various …

Landslide susceptibility mapping (LSM) studies provide essential information that helps
various authorities in managing landslide-susceptible areas. This study aimed at applying …

Motivation The identification and discovery of phenotypes from high content screening
images is a challenging task. Earlier works use image analysis pipelines to extract biological …

Predictive analytics and machine learning (ML) have increasingly established a foothold in
health care with the digitization of data and the proliferation of big data infrastructure and …