Unlocking the potential of transesterification catalysts for biodiesel production through machine learning approach

S Sukpancharoen, T Katongtung… - Bioresource …, 2023 - Elsevier
The growing demand for fossil fuels has motivated the search for a renewable energy
source, and biodiesel has emerged as a promising and environmentally friendly alternative …

Unlocking the floating photovoltaic potential of Türkiye's hydroelectric power plants

AM Ateş - Renewable Energy, 2022 - Elsevier
The massive surface of the water accumulated in the basins of hydroelectric power plants
(HEPPs) can be considered an excellent opportunity for floating photovoltaics (FPV). Türkiye …

[HTML][HTML] An improved permeability estimation model using integrated approach of hybrid machine learning technique and shapley additive explanation

CN Mkono, C Shen, AK Mulashani, P Nyangi - Journal of Rock Mechanics …, 2024 - Elsevier
Accurate reservoir permeability determination is crucial in hydrocarbon exploration and
production. Conventional methods relying on empirical correlations and assumptions often …

Artificial Intelligence Models: A literature review addressing Industry 4.0 approach

H Castro, E Câmara, P Ávila, M Cruz-Cunha… - Procedia Computer …, 2024 - Elsevier
Industry 4.0 has brought modernization to the production system through the network
integration of the constituent entities which, combined with the evolution of information …

[HTML][HTML] On the scale effect of relationship identification between land surface temperature and 3D landscape pattern: The application of random forest

Q Wu, Z Li, C Yang, H Li, L Gong, F Guo - Remote Sensing, 2022 - mdpi.com
Urbanization processes greatly change urban landscape patterns and the urban thermal
environment. Significant multi-scale correlation exists between the land surface temperature …

An adaptive Laplacian weight random forest imputation for imbalance and mixed-type data

L Ren, AS Seklouli, H Zhang, T Wang, A Bouras - Information Systems, 2023 - Elsevier
As the application of information technology in the medical field is resulting in a large
amount of medical data. As early withdrawal and refusal of participants, there are a lot of …

AHP and Machine Learning‐Based Military Strategic Site Selection: A Case Study of Adea District East Shewa Zone, Ethiopia

AK Bojer, FF Woldesilassie, TG Debelee… - Journal of …, 2023 - Wiley Online Library
In dynamic situations, multicriteria decision‐making (MCDM) for classification frequently
takes place. The selection of suitable land sites and clear criteria is one of the most …

Network intrusion detection method based on hybrid improved residual network blocks and bidirectional gated recurrent units

H Yu, C Kang, Y **ao, Y Yang - IEEE Access, 2023 - ieeexplore.ieee.org
With the rapid development of network technology, network intrusion detection plays a vital
role in network security. In the era of big data, a large amount of network data is generated in …

Optimal site investigation through combined geological and property uncertainties analysis

OE Oluwatuyi, KW Ng, SS Wulff… - Geotechnical and …, 2023 - Springer
Site investigation is crucial in characterizing the geomaterial profile for the design of bridge
pile foundations. A site investigation plan should be conducted to maximize geomaterial …

A novel hybrid group method of data handling and Levenberg Marquardt model for estimating total organic carbon in source rocks with explainable artificial …

CN Mkono, C Shen, AK Mulashani… - … Applications of Artificial …, 2025 - Elsevier
Abstract The estimation of Total Organic Carbon (TOC) in source rocks is critical for
assessing hydrocarbon potential and source rock quality in petroleum exploration and …