Enhancing solar thermal collector systems for hot water production through machine learning-driven multi-objective optimization with phase change material (PCM)

E Assareh, A Riaz, M Ahmadinejad… - Journal of Energy …, 2023 - Elsevier
Energy storage and supply in solar thermal collector systems rely heavily on phase change
materials (PCM). It is vital to establish the appropriate values for energy discharge time (t …

Heart Disease Prediction under Machine Learning and Association Rules under Neutrosophic Environment

AA El-Douh, SF Lu, A Abdelhafeez… - Neutrosophic …, 2023 - sciencesforce.com
Early identification and precise prediction of heart disease have important implications for
preventative measures and better patient outcomes since cardiovascular disease is a …

Improvement of energy-efficient resources for cognitive internet of things using learning automata

P Rahmani, M Arefi - Peer-to-Peer Networking and Applications, 2024 - Springer
The increasing demand for data collection from various Internet of Things (IoT) devices and
limited energy of nodes in these networks led to the complex network conditions. Currently …

[PDF][PDF] Evaluation Strategies of International Business Administration in the E-Commerce Sector Using Single-Valued Neutrosophic Sets

AA Ageeli - Neutrosophic Sets and Systems, 2023 - digitalrepository.unm.edu
In today's digitally connected and globally interconnected corporate world, the assessment
of International Corporate Administration in E-commerce is of the utmost importance. To help …

[PDF][PDF] Neutrosophic Fuzzy Regression: A Linear Programming Approach

M Darehmiraki - Iranian Journal of Operations Research, 2024 - iors.ir
Regression is a statistical technique used in finance, investment, and several other domains
to assess the magnitude and precision of the association between a dependent variable …