All Stories

  1. Exploring relationships between mechanical properties of marl core samples by a coupling of mutual information and predictive ensemble model
  2. Effects of Conventional Flotation Frothers on the Population of Mesophilic Microorganisms in Different Cultures
  3. Prediction of specific gravity of Afghan coal based on conventional coal properties by stepwise regression and random forest
  4. Microwave-Leaching of Copper Smelting Dust for Cu and Zn Extraction
  5. Estimation of heavy and light rare earth elements of coal by intelligent methods
  6. Estimation of coking indexes based on parental coal properties by variable importance measurement and boosted-support vector regression method
  7. Selective Separation of Hematite by a Synthesized Depressant in Various Scales of Anionic Reverse Flotation
  8. Investigating the occurrences of valuable trace elements in African coals as potential byproducts of coal and coal combustion products
  9. Exploring relationships between various activations of granular activated carbon on silver and gold adsorption: A kinetic and equilibrium study
  10. Study of the effects of conventional reagents for sulfide flotation on bio-oxidation activity of Acidithiobacillus ferrooxidans
  11. Study relationships between flotation variables and recovery of coarse particles in the absence and presence of nanobubble
  12. A Review of Flotation Separation of Mg Carbonates (Dolomite and Magnesite)
  13. Relationships between noble metals as potential coal combustion products and conventional coal properties
  14. Occurrences of valuable trace elements in Iranian coals as potential coal combustion byproducts
  15. Measurement of collector concentrations to make an efficient mixture for flotation of a low grade apatite
  16. Estimating REY content of easternKentucky coal samples based on their associatedash elements
  17. A novel nature-inspired optimization based neural network simulator to predict coal grindability index
  18. A new Ensemble based multi-agent system for prediction problems: Case study of modeling coal free swelling index
  19. Recovery of coal particles from a tailing dam for environmental protection and economical beneficiations
  20. Experimental modeling for upgrading of brown barite ore by different processing methods
  21. Support vector regression modeling of coal flotation based on variable importance measurements by mutual information method
  22. Study the relationship between coal properties with Gieseler plasticity parameters by random forest
  23. Study the relationship between coal properties with Gieseler plasticity parameters by random forest
  24. Rule-Based Intelligent System for Variable Importance Measurement and Prediction of Ash Fusion Indexes
  25. Study Relationship Between the Coal Thermoplastic Factor With Its Organic and Inorganic Properties by the Support Vector Regression Method
  26. A review of pretreatment of diasporic bauxite ores by flotation separation
  27. Designing different beneficiation techniques by Taguchi method for upgrading Mehdi-Abad white barite ore
  28. Prediction of froth flotation responses based on various conditioning parameters by Random Forest method
  29. The Surface Chemistry Characterization of Pyrite, Sphalerite and Molybdenite after Bioleaching
  30. Examining the Effects of Typical Reagents for Sulfide Flotation on Bio-Oxidation Activity of Ferrous Iron Oxidizing Microorganisms
  31. Explaining surface interactions for common associated gangues of rare earth minerals in response to the oxalic acid
  32. Variable selection and prediction of uniaxial compressive strength and modulus of elasticity by random forest
  33. Effect of Flotation Reagents on the Activity of L. Ferrooxidans
  34. Modeling of gross calorific value based on coal properties by support vector regression method
  35. A Comparative Study on the Effect of Flotation Reagents on Growth and Iron Oxidation Activities of Leptospirillum ferrooxidans and Acidithiobacillus ferrooxidans
  36. Modeling of free swelling index based on variable importance measurements of parent coal properties by random forest method
  37. Modeling of fine coal flotation separation based on particle characteristics and hydrodynamic conditions
  38. Explaining relationships between coke quality index and coal properties by Random Forest method
  39. A study of the reprocessing of fine and ultrafine cassiterite from gravity tailing residues by using various flotation techniques
  40. Explaining relationships among various coal analyses with coal grindability index by Random Forest
  41. Estimation of coal gross calorific value based on various analyses by random forest method
  42. A Review of Graphite Beneficiation Techniques
  43. A review of rare earth minerals flotation: Monazite and xenotime
  44. Study of the relationship between zinnwaldite chemical composition and magnetic susceptibility
  45. TOF-SIMS studies of surface chemistry of minerals subjected to flotation separation – A review
  46. Pyrochlore surface oxidation in relation to matrix Fe composition: A study by X-ray photoelectron spectroscopy
  47. Multivariable Regression and Adaptive Neurofuzzy Inference System Predictions of Ash Fusion Temperatures Using Ash Chemical Composition of US Coals
  48. Study the relationship between the compositional zoning of high iron content pyrochlore and adsorption of cationic collector
  49. Explaining the relationship between common coal analyses and Afghan coal parameters using statistical modeling methods
  50. A TOF-SIMS surface chemical analytical study of rare earth element minerals from micro-flotation tests products
  51. Estimation of diameter and surface area flux of bubbles based on operational gas dispersion parameters by using regression and ANFIS
  52. Modeling and process optimization for microbial desulfurization of coal by using a two-level full factorial design
  53. Study of pyrochlore surface chemistry effects on collector adsorption by TOF-SIMS
  54. Combination of Microwave and Ultrasonic Irradiations as a Pretreatment Method to Produce Ultraclean Coal
  55. Study of pyrochlore matrix composition effects on froth flotation by SEM–EDX
  56. Microwave irradiation pretreatment and peroxyacetic acid desulfurization of coal and application of GRNN simultaneous predictor
  57. Estimation of Some Coal Parameters Depending on Petrographic and Inorganic Analyses by Using Genetic Algorithm and Adaptive Neuro-Fuzzy Inference Systems
  58. Estimation of free-swelling index based on coal analysis using multivariable regression and artificial neural network
  59. Rare earth elements leaching from Chadormalu apatite concentrate: Laboratory studies and regression predictions
  60. Study Relationship between Inorganic and Organic Coal Analysis with Gross Calorific Value by Multiple Regression and ANFIS
  61. Studies of relationships between Free Swelling Index (FSI) and coal quality by regression and Adaptive Neuro Fuzzy Inference System
  62. Estimation of froth flotation recovery and collision probability based on operational parameters using an artificial neural network
  63. Simultaneous prediction of coal rank parameters based on ultimate analysis using regression and artificial neural network
  64. Prediction of uniaxial compressive strength and modulus of elasticity for Travertine samples using regression and artificial neural networks
  65. Prediction of coal response to froth flotation based on coal analysis using regression and artificial neural network
  66. Estimation of gross calorific value based on coal analysis using regression and artificial neural networks
  67. Artificial neural network prediction of Al2O3 leaching recovery in the Bayer process—Jajarm alumina plant (Iran)
  68. Prediction of operational parameters effect on coal flotation using artificial neural network
  69. Application of artificial neural networks to predict chemical desulfurization of Tabas coal
  70. Prediction of yttrium, lanthanum, cerium, and neodymium leaching recovery from apatite concentrate using artificial neural networks
  71. Studies of relationship between petrography and elemental analysis with grindability for Kentucky coals
  72. Prediction of coal grindability based on petrography, proximate and ultimate analysis using multiple regression and artificial neural network models
  73. Prediction of microbial desulfurization of coal using artificial neural networks