X-ray imagery systems have enabled security personnel to identify potential threats
contained within the baggage and cargo since the early 1970s. However, the manual …

Breast cancer remains to be a leading cause of cancer-related deaths among women.
Mortality is mainly attributed to metastasis and recurrence. Hence, early detection of breast …

Student success rate is a significant indicator of the quality of the educational services
offered at higher education institutions (HEIs). It allows students to make their plans to …

Numerous imbalanced datasets exist in modern machine learning dilemmas. Challenges of
generalization and fairness stem from the existence of underrepresented classes with …

Deep learning (DL) has achieved significant success in computing with sufficient samples.
However, DL often faces challenges in real-world scenarios with limited data. Virtual sample …

In early January 2020, after China reported the first cases of the new coronavirus (SARS-
CoV-2) in the city of Wuhan, unreliable and not fully accurate information has started …

E-learning accounts for the emergence of re-skilling, up-skilling, and augmenting the
traditional education system by providing knowledge delivery. The meaningful learning …

Accurate diagnosis of breast cancer using automated algorithms continues to be a
challenge in the literature. Although researchers have conducted a great deal of work to …

Instance reduction is a pre-processing step devised to improve the task of classification.
Instance reduction algorithms search for a reduced set of instances to mitigate the low …

Objective This study aimed to investigate the predictive capabilities of historical patient
records to predict patient adverse outcomes such as mortality, readmission, and prolonged …