In recent years, education institutions have offered a wide range of course selections with
overlaps. This presents significant challenges to students in selecting successful courses …

This paper reviews the first block of our unsupervised deep collaborative recommendation
(UDCF) system and proposes a platform whose goal is to try to find the adequate …

Reliable flash flood susceptibility maps are a vital tool for land planners and emergency
management officials for early flood warning and mitigation. We have developed a new …

Bagging is an old and powerful method in ensemble learning which creates an ensemble of
classifiers over bootstraps through learning and then generates diverse classifiers. There …

The advancement of technologies has modernized learning within smart campuses and has
emerged new context through communication between mobile devices. Although there is a …

Each study program requires students to take several elective courses. The appropriateness
of the elective courses taken with the student's abilities can be one of the factors for the …

Personalization in online learning environments has been extensively studied at various
levels, ranging from adaptive hints during task-solving to recommending whole courses. In …

With the increase of the internet, E-learning adaptation and recommnadation system has
become a new trend in learning. In contrast to traditional learning (all to all sytem), adaptive …

The effectiveness of recommendation systems depends on the performance of the
algorithms with which these systems are designed. The quality of the algorithms themselves …

As education has evolved towards online learning, the availability of learning materials has
expanded and consequently, learners' behavior in choosing resources has changed. The …