[HTML][HTML] Increasing efficiency for routing in internet of things using binary gray wolf optimization and fuzzy logic
Z Wang, Z **, Z Yang, W Zhao, M Trik - Journal of King Saud University …, 2023 - Elsevier
In the field of information and communication technology, the Internet of Things is regarded
as a brand-new and important technology. The introduction of new protocols in this area is …
as a brand-new and important technology. The introduction of new protocols in this area is …
Classification of skin cancer stages using a AHP fuzzy technique within the context of big data healthcare
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 …
cancer manifests itself without warning. In the future, these illnesses, which have been an …
A new method for recommendation based on embedding spectral clustering in heterogeneous networks (RESCHet)
The advancement in internet technology has enabled the use of increasingly sophisticated
data by recommendation systems to enhance their effectiveness. This data is comprised of …
data by recommendation systems to enhance their effectiveness. This data is comprised of …
Presentation of a recommender system with ensemble learning and graph embedding: a case on MovieLens
Abstract Information technology has spread widely, and extraordinarily large amounts of
data have been made accessible to users, which has made it challenging to select data that …
data have been made accessible to users, which has made it challenging to select data that …
A hybrid method for recommendation systems based on tourism with an evolutionary algorithm and topsis model
Recommender systems have been pervasively applied as a technique of suggesting travel
recommendations to tourists. Actually, recommendation systems significantly contribute to …
recommendations to tourists. Actually, recommendation systems significantly contribute to …
Diversified service recommendation with high accuracy and efficiency
Collaborative filtering-based recommender systems are regarded as an important tool to
predict the items that users will appreciate based on the historical usage of users. However …
predict the items that users will appreciate based on the historical usage of users. However …
[HTML][HTML] Health-aware food recommendation system with dual attention in heterogeneous graphs
Recommender systems (RS) have been increasingly applied to food and health. However,
challenges still remain, including the effective incorporation of heterogeneous information …
challenges still remain, including the effective incorporation of heterogeneous information …
Presentation a Trust Walker for rating prediction in recommender system with Biased Random Walk: Effects of H-index centrality, similarity in items and friends
In recent years, the use of trust-based recommendation systems to predict the scores of
items not rated by users has attracted many researchers' interest. Accordingly, they create a …
items not rated by users has attracted many researchers' interest. Accordingly, they create a …
[HTML][HTML] PCDA-HNMP: Predicting circRNA-disease association using heterogeneous network and meta-path
L Chen, X Zhao - Mathematical Biosciences and Engineering, 2023 - aimspress.com
Increasing amounts of experimental studies have shown that circular RNAs (circRNAs) play
important regulatory roles in human diseases through interactions with related microRNAs …
important regulatory roles in human diseases through interactions with related microRNAs …
MeSIN: Multilevel selective and interactive network for medication recommendation
Recommending medications for patients using electronic health records (EHRs) is a crucial
data mining task for an intelligent healthcare system. EHRs data, which comprise multiple …
data mining task for an intelligent healthcare system. EHRs data, which comprise multiple …