Automated prediction of students' retention and graduation in education using advanced
analytical methods such as artificial intelligence (AI), has recently attracted the attention of …

Machine learning (ML) in toxicological sciences is growing exponentially, which presents
unprecedented opportunities and brings up important considerations for using ML in this …

Motorcycle crashes pose a serious problem because their probability of causing casualties
is greater than that of passenger vehicle crashes. Therefore, accurately identifying the …

Student outcomes are of great importance in higher education institutions. Accreditation
bodies focus on them as an indicator to measure the performance and effectiveness of the …

Background Chronic obstructive pulmonary disease (COPD) is a frequently diagnosed yet
treatable condition, provided it is identified early and managed effectively. This study aims to …

Crop type classification is crucial for policymaking and precision agriculture applications.
This study aimed to develop a parcel-based maize (Zea mays L.) extraction approach using …

Managing fisheries requires regular monitoring and assessment of fish populations.
Traditional methods of evaluating fish stocks, particularly their size, can be time-consuming …

Predicting and monitoring of global government investment, eg, using AI-based method, is
becoming an emerging topic aimed at applying technological-based solutions to address …

It has been 3 years since the COVID-19 pandemic forced all areas of existence to adjust.
This disease had encouraged numerous researchers to focus on COVID. More immunology …

Satellite remote sensing (RS) enables the extraction of vital information on land cover and
crop type. Land cover and crop type classification using RS data and machine learning (ML) …