Unveiling the potential of CO2 hydrates in porous media: A review on kinetic modelling, molecular dynamics simulations, and machine learning
Hydrate-based CO 2 sequestration in geological sediments is a potential technique that
ensures storing CO 2 in large volumes providing huge CO 2 storage capacity. Numerous …
ensures storing CO 2 in large volumes providing huge CO 2 storage capacity. Numerous …
Research Advances in Machine Learning Techniques in Gas Hydrate Applications
The complex modeling accuracy of gas hydrate models has been recently improved owing
to the existence of data for machine learning tools. In this review, we discuss most of the …
to the existence of data for machine learning tools. In this review, we discuss most of the …
Comparison of prediction models for soy protein isolate hydrolysates bitterness built using sensory, spectrofluorometric and chromatographic data from varying …
D Liu, FA Raynaldo, M Dabbour, X Zhang, Z Chen… - Food Chemistry, 2024 - Elsevier
The bitterness of soy protein isolate hydrolysates prepared using five proteases at varying
degree of hydrolysis (DH) and its relation to physicochemical properties, ie, surface …
degree of hydrolysis (DH) and its relation to physicochemical properties, ie, surface …
Reliable connectionist tools to determine biodiesel cetane number based on fatty acids methyl esters content
MM Ghiasi, O Mohammadzadeh… - Energy Conversion and …, 2022 - Elsevier
The self-ignition ability of fuels is characterized using a property called cetane number (CN).
The main objective of this research work is to develop accurate models using smart …
The main objective of this research work is to develop accurate models using smart …
Combining machine learning and single-cell sequencing to identify key immune genes in sepsis
H Wang, L Len, L Hu, Y Hu - Scientific Reports, 2025 - nature.com
This research aimed to identify novel indicators for sepsis by analyzing RNA sequencing
data from peripheral blood samples obtained from sepsis patients (n= 23) and healthy …
data from peripheral blood samples obtained from sepsis patients (n= 23) and healthy …
A comprehensive approach for osteoporosis detection through chest CT analysis and bone turnover markers: harnessing radiomics and deep learning techniques
K Fang, X Zheng, X Lin, Z Dai - Frontiers in Endocrinology, 2024 - frontiersin.org
Purpose The main objective of this study is to assess the possibility of using radiomics, deep
learning, and transfer learning methods for the analysis of chest CT scans. An additional aim …
learning, and transfer learning methods for the analysis of chest CT scans. An additional aim …
Optimization on handling stability using AdaBoost-CART with an improved evolution algorithm under uncertainty
Y Liang, D Huang, Y Chen, Y Meng, J Zhu - Journal of Mechanical …, 2024 - Springer
Multi-objective optimization of handling stability for a tractor semitrailer during the
designation process is a significant challenge in ensuring driving safety. In this paper, a data …
designation process is a significant challenge in ensuring driving safety. In this paper, a data …
[PDF][PDF] CHemical inhibitors in gas hydrate formation A review of modelling Approaches
N Zulu, H Hashemi - 2024 - wiredspace.wits.ac.za
Gas hydrate inhibition using chemicals has been under continuous investigation, and
several modelling studies have been published since its inception. Since it is not always …
several modelling studies have been published since its inception. Since it is not always …