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Analyzing the effect of depopulation on the spatial structure of the city of lodz, Poland: Development and application of an integrated land use and transportation model
Development of a generalized model for predicting the composition of homologous groups derived from molecular type analyses to characterize petroleum fractions
Implementation of multiscale modeling and failure mechanism in investigating load bearing capacity of 3D integrated multi-cellular knitted composites
Implementation of multiscale modeling and failure mechanism in investigating load bearing capacity of 3D integrated multi-cellular knitted composites
Implementation of multiscale modeling and failure mechanism in investigating load bearing capacity of 3D integrated multi-cellular knitted composites
Predicting habitat suitability for the endangered species Hedysarum criniferum Boiss. using a fuzzy model in the semi-arid zone in Iran
Predicting habitat suitability for the endangered species Hedysarum criniferum Boiss. using a fuzzy model in the semi-arid zone in Iran
Predicting habitat suitability for the endangered species Hedysarum criniferum Boiss. using a fuzzy model in the semi-arid zone in Iran
Predicting habitat suitability for the endangered species Hedysarum criniferum Boiss. using a fuzzy model in the semi-arid zone in Iran
A multiscale cell-based model of tumor growth for chemotherapy assessment and tumor-targeted therapy through a 3D computational approach
A multiscale cell-based model of tumor growth for chemotherapy assessment and tumor-targeted therapy through a 3D computational approach
Estimating potential reference evapotranspiration using time series models (case study: synoptic station of Tabriz in northwestern Iran)
Nurse scheduling problem by considering fuzzy modeling approach to treat uncertainty on nurses' preferences for working shifts and weekends off
Nurse scheduling problem by considering fuzzy modeling approach to treat uncertainty on nurses' preferences for working shifts and weekends off
Real Time Demand Response Modeling for Residential Consumers in Smart Grid Considering Renewable Energy With Deep Learning Approach