Artificial intelligence (AI) is a commonly used term in daily life, and there are now two
subconcepts that divide the entire range of meanings currently encompassed by the term …

Sentiment analysis is a solution that enables the extraction of a summarized opinion or
minute sentimental details regarding any topic or context from a voluminous source of data …

Cardiovascular disease (CVD) is the leading cause of death worldwide. A Machine Learning
(ML) system can predict CVD in the early stages to mitigate mortality rates based on clinical …

The routing protocol for low-power and lossy networks (RPLs) is a standard routing protocol
for resource-constrained devices in the Internet of Things (IoT) networks. Primarily, RPL can …

This paper presents a comprehensive review of research studies related to the application of
artificial neural networks (ANNs) to public transportation (PT) since 2000. PT applications …

Diabetes is a complex disease that is increasing in prevalence around the world. Type 2
diabetes mellitus (T2DM) accounts for about 90–95% of all diagnosed adult cases of …

Technological advancements in the field of electrical energy distribution and utilization are
revolutionizing the way consumers and utility providers interact. In addition to allowing utility …

Objectives Coronary heart disease is the leading cause of death worldwide, and it is
important to diagnose the level of the disease. Intelligence systems for diagnosis proved can …

Motivation Biomarker discovery is one of the most frequent pursuits in bioinformatics and is
crucial for precision medicine, disease prognosis, and drug discovery. A common challenge …

Objectives The interpretation of clinical data for the diagnosis of coronary heart disease can
be done using algorithms in data mining. Most clinical data interpretation systems for …