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Evaluating resampled and fused Sentinel-2 data and machine-learning algorithms for mangrove mapping in the northern coast of Qeshm island, Iran
A New Approach for Predicting the Pressure Drop in Various Types of Metal Foams Using a Combination of CFD and Machine Learning Regression Models
Physiological specialization of Puccinia triticina and genome-wide association mapping provide insights into the genetics of wheat leaf rust resistance in Iran
A hybrid deep learning approach for phenotype prediction from clinical notes
Multi-BD Symbiotic Radio-Aided 6G IoT Network: Energy Consumption Optimization with QoS Constraint Approach
Phenol identification and mapping of rangeland species at laboratory and landscape scales using PRISMA hyperspectral data
Phenol identification and mapping of rangeland species at laboratory and landscape scales using PRISMA hyperspectral data
Phenol identification and mapping of rangeland species at laboratory and landscape scales using PRISMA hyperspectral data
Phenol identification and mapping of rangeland species at laboratory and landscape scales using PRISMA hyperspectral data
A game theoretic approach for tradable white certificates regarding energy rebound and government intervention
Real-time monitoring of disc cutter wear in tunnel boring machines: A sound and vibration sensor-based approach with machine learning technique
Real-time monitoring of disc cutter wear in tunnel boring machines: A sound and vibration sensor-based approach with machine learning technique
Investigation of Polyamide 12 Powder Cooling Process under Natural Convection via Porous Medium, Non-porous Medium, and Experimental Approaches
A Novel Feature Engineering Approach for Predicting Melt Pool Depth during LPBF by Machine Learning Models
A Novel Feature Engineering Approach for Predicting Melt Pool Depth during LPBF by Machine Learning Models