Graduates often find themselves difficult to secure a job after completing their education at
universities or colleges. In this light, researchers have proposed various solutions to address …

In today's society, students and recent graduates are often struggling with finding a suitable
job. Furthermore, worldwide population ageing, the constantly decreasing number of high …

Job recommendation systems are AI-powered platforms that aim to provide job seekers with
personalized job recommendations based on their skills, experience, and preferences …

This research aims to tackle the talent development problem in universities by creating a
smart employment recommendation system for recent college graduates. By combining an …

Millions of students graduate from college every year and start looking for jobs, but hunting
for a suitable job that pays according to the applicant's skills is not an easy process. On the …

The inclusion of machine learning and ontology-based job recommender systems in the
smart learning ecosystems may enhance the learners' employability in the regional context …

In general, the process when recruiting workers today takes a lot of energy, money, and
time. But with various job recommendation systems that utilize Artificial Intelligence, it is very …

Recommender systems represent tools capable of providing suggestions based on large
datasets or collections of objects in the user's area of interest. Career recommendations …

Workplace learning is crucial for both–organizational and personal development. It
enhances employee skills and fosters innovation. Moreover, workplace learning contributes …

Classifying plant diseases is essential for maintaining crop health and agricultural
productivity. Technological advancements have shifted plant disease classification from …