AI-based modeling: techniques, applications and research issues towards automation, intelligent and smart systems
IH Sarker - SN Computer Science, 2022 - Springer
Artificial intelligence (AI) is a leading technology of the current age of the Fourth Industrial
Revolution (Industry 4.0 or 4IR), with the capability of incorporating human behavior and …
Revolution (Industry 4.0 or 4IR), with the capability of incorporating human behavior and …
Machine learning approaches to predict adsorption capacity of Azolla pinnata in the removal of methylene blue
Background In this study, the adsorption of methylene blue (MB) dye using an aquatic plant,
Azolla pinnata (AP) was modelled using several various supervised machine learning (ML) …
Azolla pinnata (AP) was modelled using several various supervised machine learning (ML) …
User Classification and Stock Market‐Based Recommendation Engine Based on Machine Learning and Twitter Analysis
PN Achyutha, S Chaudhury, SC Bose… - Mathematical …, 2022 - Wiley Online Library
The stock market prices of the company vary in a daily fashion. The social media pattern
usage of the company can be determined to find the sentiment score values. The …
usage of the company can be determined to find the sentiment score values. The …
[HTML][HTML] Open innovation through customer satisfaction: A logit model to explain customer recommendations in the hotel sector
Open innovation allows the hotel industry to create platforms and channels for collaboration
with its customers, which results in a better understanding of their tastes and demands. In …
with its customers, which results in a better understanding of their tastes and demands. In …
An enhanced recommender system based on heterogeneous graph link prediction
Graph-based data has gained popularity in various applications, including social networks,
recommendation systems, and knowledge graphs. Detecting missing links between nodes is …
recommendation systems, and knowledge graphs. Detecting missing links between nodes is …
Cloud application importance and challenges: A Systematic Review
“Computing for Use” is a reality in the form of a private, public, or mixed Cloud. The raincloud
ontology, its contributions, and their importance will be examined in depth as a result of our …
ontology, its contributions, and their importance will be examined in depth as a result of our …
Selective dissemination of information (SDI) in the age of artificial intelligence (AI)
H Soleymani, HR Saeidnia, M Ausloos… - Library Hi Tech …, 2023 - emerald.com
Purpose In this study, the authors seek to introduce ways that show that in the age of artificial
intelligence (AI), selective dissemination of information (SDI) performance can be greatly …
intelligence (AI), selective dissemination of information (SDI) performance can be greatly …
Retracted article: optimized machine learning based collaborative filtering (OMLCF) recommendation system in e-commerce
J Anitha, M Kalaiarasu - Journal of Ambient Intelligence and Humanized …, 2021 - Springer
A recommender system (RS) is a subcategory of an information filtering system that attempts
the prediction of the score or the importance given to an item by a user. RS has garnered the …
the prediction of the score or the importance given to an item by a user. RS has garnered the …
A dynamic decision support system for evaluating peer-to-peer rental accommodations in the sharing economy
Accommodation accounts for one of the biggest expenses while traveling, and deciding
where to stay is often confusing and time-consuming. Fortunately, travelers have more …
where to stay is often confusing and time-consuming. Fortunately, travelers have more …
Optimal policy learning for disease prevention using reinforcement learning
Diseases can have a huge impact on the quality of life of the human population. Humans
have always been in the quest to find strategies to avoid diseases that are life‐threatening or …
have always been in the quest to find strategies to avoid diseases that are life‐threatening or …