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A new efficient feature-combination-based method for dynamic texture modeling and classification using semi-random starting parameter dynamic Bayesian networks
A new efficient feature-combination-based method for dynamic texture modeling and classification using semi-random starting parameter dynamic Bayesian networks
Modelling the impact of climate change on rangeland forage production using a generalized regression neural network a case study in Isfahan Province Central Iran
Modelling the impact of climate change on rangeland forage production using a generalized regression neural network a case study in Isfahan Province Central Iran
Thermodynamic modeling of methane hydrate formation in the presence of imidazolium-based ionic liquids using two-step hydrate formation theory and CPA EoS
Thermodynamic modeling of methane hydrate formation in the presence of imidazolium-based ionic liquids using two-step hydrate formation theory and CPA EoS
Modeling and Simulation of Six-Bed Cyclic Adsorption Process Using in Mercaptan Removal from Natural Gas Non-Isothermal and Non-Adiabatic Conditions
Evaluating Consumers' Shopping and Delivery Preference by Developing a Disaggregated E-Commerce Demand Model Using Extended Multiple Discrete Continuous Extreme Values Framework
Predicting hydrogen production in porous foams for steam methane reforming: A combined approach using computational fluid dynamics and machine learning regression models
Comparative classification of spectrally overlapping Allium seed genotypes using Vis-NIR spectroscopy and hyperspectral imaging with chemometric, machine, and deep learning models
Comparative classification of spectrally overlapping Allium seed genotypes using Vis-NIR spectroscopy and hyperspectral imaging with chemometric, machine, and deep learning models
Comparative classification of spectrally overlapping Allium seed genotypes using Vis-NIR spectroscopy and hyperspectral imaging with chemometric, machine, and deep learning models
Comparative classification of spectrally overlapping Allium seed genotypes using Vis-NIR spectroscopy and hyperspectral imaging with chemometric, machine, and deep learning models
Soil erosion estimating and hazard mapping using SWAT and RUSLE models in a semiarid-arid region, Zayandeh-Rood Dam Watershed, Central Iran
Predicting hydrogen production in porous foams for steam methane reforming: A combined approach using computational fluid dynamics and machine learning regression models