Recommender systems become essential with the presence of the internet and social
media. The perceived benefits of the recommender system can make it easier for users to …

Link prediction aims to anticipate the probability of a future connection between two nodes in
a given network based on their previous interactions and the network structure. Link …

Networks on chips (NoCs) are a concept inspired by computer networks for constructing
multiprocessor systems that can handle communication across processing cores. One of the …

Nowadays, various recommender systems are popular and their main aim is to recommend
suitable content to the user based on various parameters. This article proposes a hybrid …

Background and objectives Skin conditions in humans can be challenging to diagnose. Skin
cancer manifests itself without warning. In the future, these illnesses, which have been an …

Many researchers have recently considered patients' health and provided an optimal and
appropriate solution. With the advent of technologies such as cloud computing, Internet of …

Recommender systems are crucial in the big data era, effectively mitigating information
overload. Existing recommendation methods are limited on highly sparse data and have …

Link prediction is a fundamental task in network analysis, with the objective of predicting
missing or potential links. While existing studies have mainly concentrated on single …

Movie recommender systems are meant to give suggestions to the users based on the
features they love the most. A highly performing movie recommendation will suggest movies …

Link prediction is a crucial aspect of graph machine learning, with applications as diverse as
disease prediction, social network recommendations, and drug discovery. It involves the …