[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 …

Classification of skin cancer stages using a AHP fuzzy technique within the context of big data healthcare

M Samiei, A Hassani, S Sarspy, IE Komari… - Journal of Cancer …, 2023 - Springer
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 …

A new method for recommendation based on embedding spectral clustering in heterogeneous networks (RESCHet)

S Forouzandeh, K Berahmand, R Sheikhpour… - Expert Systems with …, 2023 - Elsevier
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 …

Presentation of a recommender system with ensemble learning and graph embedding: a case on MovieLens

S Forouzandeh, K Berahmand, M Rostami - Multimedia Tools and …, 2021 - Springer
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 …

A hybrid method for recommendation systems based on tourism with an evolutionary algorithm and topsis model

S Forouzandeh, M Rostami… - Fuzzy Information and …, 2022 - ieeexplore.ieee.org
Recommender systems have been pervasively applied as a technique of suggesting travel
recommendations to tourists. Actually, recommendation systems significantly contribute to …

Diversified service recommendation with high accuracy and efficiency

L Wang, X Zhang, R Wang, C Yan, H Kou… - Knowledge-Based Systems, 2020 - Elsevier
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 …

[HTML][HTML] Health-aware food recommendation system with dual attention in heterogeneous graphs

S Forouzandeh, M Rostami, K Berahmand… - Computers in Biology …, 2024 - Elsevier
Recommender systems (RS) have been increasingly applied to food and health. However,
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

S Forouzandeh, M Rostami, K Berahmand - Engineering Applications of …, 2021 - Elsevier
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 …

[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 …

MeSIN: Multilevel selective and interactive network for medication recommendation

Y An, L Zhang, M You, X Tian, B **, X Wei - Knowledge-Based Systems, 2021 - Elsevier
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 …