Bello Ahmad Muhammad

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Verified

Bello verified their affiliation via an institutional email.

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• Master of Science
• PostDoc Position at Shaanxi Normal University

In the context of the information age, the rapid growth and increasing diversity of learning resources underscore the urgency of personalized learning, while learning style is the most crucial factor to consider in personalized learning as it significantly influences students' academic achievements and learning experiences. Traditional methods of a...

The ability to detect learners' learning styles based on their learning behaviors is of utmost importance for online educational systems, as it greatly enhances student engagement, motivation, and overall learning outcomes. Knowing the learning preferences of learners may significantly aid in creating personalized learning recommendations and empow...

Anomaly detection in multivariate time series is an important research direction, which helps to improve the security of industrial systems by detecting abnormally unreliable devices. Multivariate time series (MTS) anomalies not only need to pay attention to the time correlation between different time series but also need to consider the abnormal c...

Personalized course recommender systems in online learning platforms provide courses that fit students’ personal needs using their individual past preferences. Due to their good performance, Collaborative Filtering methods are the most widely used. However, these methods suffer from cold-start, data sparsity and inability to process implicit feedba...

The accessibility and popularity of online learning have aided the spread of modern learning systems, which provide numerous opportunities for studying the behavior of learners and improving their learning quality. In online platforms, different learners have different learning styles based on their learning behavior. As a result, analyzing learner...

Prediction of learners' learning styles in online environments has several advantages, including steering learners on the proper path, motivating and engaging them while learning, and improving their learning results. It also helps instructors in the formation of personalized resource recommendations. As a result, predicting learners learning style...

A growing number of students enrol in online education to improve their skills. However, students are faced with the challenge of finding courses that meet their individual needs. Recommender systems were introduced to help students choose the courses that best meet their needs. To learn better representations of students and courses for improved r...

Wireless body area network (WBAN) is a network of small sensor devices placed on the patients' bodies to remotely collect their health information and transmit it to medical professionals via open wireless channels. However, the collected data is vulnerable to unauthorized access due to the open nature of the wireless channels. Thus, a reliable aut...

Owing to its capability to measure the sensitive biological data of patients through embedded sensors and transmit them via open wireless channels to remote medical experts, wireless body area network (WBAN) has been playing an important role in pervasive healthcare systems. However, the open nature of the wireless channels renders the data suscept...