A survey of recommendation systems: recommendation models, techniques, and application fields
This paper reviews the research trends that link the advanced technical aspects of
recommendation systems that are used in various service areas and the business aspects of …
recommendation systems that are used in various service areas and the business aspects of …
[HTML][HTML] Recommender Systems in E-learning
In this era when every aspect of society is accelerating, people are always seeking
improvement to stay competitive in their careers. E-learning systems fit into the ever …
improvement to stay competitive in their careers. E-learning systems fit into the ever …
Multilevel threshold image segmentation for COVID-19 chest radiography: A framework using horizontal and vertical multiverse optimization
H Su, D Zhao, H Elmannai, AA Heidari… - Computers in Biology …, 2022 - Elsevier
COVID-19 is currently raging worldwide, with more patients being diagnosed every day. It
usually is diagnosed by examining pathological photographs of the patient's lungs. There is …
usually is diagnosed by examining pathological photographs of the patient's lungs. There is …
A novel deep-learning model for automatic detection and classification of breast cancer using the transfer-learning technique
Breast cancer (BC) is one of the primary causes of cancer death among women. Early
detection of BC allows patients to receive appropriate treatment, thus increasing the …
detection of BC allows patients to receive appropriate treatment, thus increasing the …
SGOA: annealing-behaved grasshopper optimizer for global tasks
An improved grasshopper optimization algorithm (GOA) is proposed in this paper, termed as
SGOA, which combines simulated annealing (SA) mechanism with the original GOA that is a …
SGOA, which combines simulated annealing (SA) mechanism with the original GOA that is a …
An adaptive quadratic interpolation and rounding mechanism sine cosine algorithm with application to constrained engineering optimization problems
The sine cosine algorithm (SCA) is a well-known meta-heuristic optimization algorithm. SCA
has received much attention in various optimization fields due to its simple structure and …
has received much attention in various optimization fields due to its simple structure and …
Artificial intelligence to support publishing and peer review: A summary and review
K Kousha, M Thelwall - Learned Publishing, 2024 - Wiley Online Library
Technology is being developed to support the peer review processes of journals,
conferences, funders, universities, and national research evaluations. This literature and …
conferences, funders, universities, and national research evaluations. This literature and …
Hybrid recommendation system combined content-based filtering and collaborative prediction using artificial neural network
Y Afoudi, M Lazaar, M Al Achhab - Simulation Modelling Practice and …, 2021 - Elsevier
Recommendation systems are information filtering tools that present items to users based on
their preferences and behavior, for example, suggestions about scientific papers or music a …
their preferences and behavior, for example, suggestions about scientific papers or music a …
Information sharing search boosted whale optimizer with Nelder-Mead simplex for parameter estimation of photovoltaic models
L Peng, C He, AA Heidari, Q Zhang, H Chen… - Energy Conversion and …, 2022 - Elsevier
With the recent emphasis on new energy sources, solar photovoltaic cells have received
widespread attention from scholars as a highly efficient and clean new energy source …
widespread attention from scholars as a highly efficient and clean new energy source …
Evaluating collaborative filtering recommender algorithms: a survey
Due to the explosion of available information on the Internet, the need for effective means of
accessing and processing them has become vital for everyone. Recommender systems …
accessing and processing them has become vital for everyone. Recommender systems …