131 results on '"Menad A"'
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2. Effect of high voltage and electrode configuration on the trajectories of metallic particles in roll-type electrostatic separators for granular mixtures
3. Synthesis, molecular structure, Hirshfeld surface analysis, NCI-RDG, spectral characterization analysis, nonlinear optical properties, and in silico molecular docking of (E)-3-(3-(2-methoxyphenyl)-4-methylthiazol-2(3H)-ylidene) benzo[4,5] imidazo [1,2-c] thiazole-1(3H)-thione
4. Robust group intelligent models for predicting hydrogen density and viscosity: Implication for hydrogen production, transportation, and storage
5. Modeling wax disappearance temperature using robust white-box machine learning
6. Investigation of halloysite thermal decomposition through differential thermal analysis (DTA): Mechanism and kinetics assessment
7. Unexpected Ag-H bond in the predictive silver hydride phase under high pressure
8. Selective recovery of rare earth elements from acetic leachate of NdFeB magnet by solvent extraction
9. Exploring the plasmonic and optical response of gold-silver alloys through evolutionary structure prediction
10. Predicting the solubility of hydrogen in hydrocarbon fractions: Advanced data-driven machine learning approach and equation of state
11. Structural, dynamical and thermodynamical stability of Cd1-xZnxS ternary systems
12. Transforming III-V binaries into stable ternary materials for solar cells applications
13. Involvement of the human microbiome in frequent cancers, current knowledge and carcinogenesis mechanisms
14. Ground state and phase stability of GaP-ZnS and GaP-ZnSe quaternary systems from first-principles
15. A Survey on the Application of Machine Learning and Metaheuristic Algorithms for Intelligent Proxy Modeling in Reservoir Simulation
16. On the evaluation of the interfacial tension of immiscible binary systems of methane, carbon dioxide, and nitrogen-alkanes using robust data-driven approaches
17. Sequential production of two oil fields with an option to switch
18. Application of machine learning methods for estimating and comparing the sulfur dioxide absorption capacity of a variety of deep eutectic solvents
19. Predicting wax deposition using robust machine learning techniques
20. Robust machine learning models of carbon dioxide trapping indexes at geological storage sites
21. Unusual crystal phases of noble metals Ir, Os, and hardness of Ir-Os systems from high throughput density functional calculations
22. Robust smart schemes for modeling carbon dioxide uptake in metal − organic frameworks
23. Modelling density of pure and binary mixtures of normal alkanes: Comparison of hybrid soft computing techniques, gene expression programming, and equations of state
24. On the evaluation of permeability of heterogeneous carbonate reservoirs using rigorous data-driven techniques
25. Well production forecast in Volve field: Application of rigorous machine learning techniques and metaheuristic algorithm
26. Modeling of methane adsorption capacity in shale gas formations using white-box supervised machine learning techniques
27. Predicting viscosity of CO2–N2 gaseous mixtures using advanced intelligent schemes
28. Crystal phase induced direct band-gap modifications in bulk GaP and GaAsP
29. Insights into structural and dynamical characteristics of III-V boron polytypes
30. Apoptosis in epididymis of sand rat Psammomys obesus, Cretzschmar, 1828: Effects of seasonal variations, castration and efferent duct ligation
31. Modeling the density of acid gases at extensive ranges of pressure and temperature conditions
32. Modeling surface tension of ionic liquids by chemical structure-intelligence based models
33. Predicting solubility of nitrous oxide in ionic liquids using machine learning techniques and gene expression programming
34. Optimization of WAG in real geological field using rigorous soft computing techniques and nature-inspired algorithms
35. Towards improved genetic programming based-correlations for predicting the interfacial tension of the systems pure/impure CO2-brine
36. Simulation of the ultimate conditions of fibre-reinforced polymer confined concrete using hybrid intelligence models
37. Prediction of hydrate formation temperature using gene expression programming
38. Aided-phytostabilization of steel slag dumps: The key-role of pH adjustment in decreasing chromium toxicity and improving manganese, phosphorus and zinc phytoavailability
39. Androgen and estrogen receptors immunolocalization in the sand rat (Psammomys Obesus) cauda epididymis
40. Toward smart schemes for modeling CO2 solubility in crude oil: Application to carbon dioxide enhanced oil recovery
41. On the evaluation of solubility of hydrogen sulfide in ionic liquids using advanced committee machine intelligent systems
42. Towards the efficient flotation of monazite from silicate-rich tailings with fatty acids collectors using a lanthanum salt as a selective phosphate activator
43. Application of hybrid support vector regression artificial bee colony for prediction of MMP in CO2-EOR process
44. Application of gene expression programming for predicting density of binary and ternary mixtures of ionic liquids and molecular solvents
45. Synergistic adsorption of lanthanum ions and fatty acids for efficient rare-earth phosphate recovery: Surface analysis and ab initio molecular dynamics studies
46. Impact of polytypism on the ground state properties of zinc oxide: A first-principles study
47. Modeling interfacial tension of methane-brine systems at high pressure and high salinity conditions
48. Integrating new emerging technologies for enhanced oil recovery: Ultrasonic, microorganism, and emulsion
49. Predicting thermal conductivity of carbon dioxide using group of data-driven models
50. Prediction of CO2 diffusivity in brine using white-box machine learning
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