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Pricing and ordering decisions of recyclables under a sustainable supply chain management: A game-theoretic approach
Deep-neural network approaches for predicting 3D dose distribution in intensity-modulated radiotherapy of the brain tumors
A New Formulation of the Scaled Boundary Finite Element Method for Heterogeneous Media: Application to Heat Transfer Problems
A new method based on the proximal bundle idea and gradient sampling technique for minimizing nonsmooth convex functions
A gradient sampling method based on ideal direction for solving nonsmooth optimization problems
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
A new extended ?-shock model with the consideration of shock magnitude
A multi-objective optimization approach for overlapping dynamic community detection
Selected challenges in solidification processing of graphene nanoplatelets (GNPs) reinforced aluminum alloys composites
An Intelligent Approach to Predict the Squeezing Severity and Tunnel Deformation in Squeezing Grounds
Multi-depot vehicle routing problem with roaming delivery locations considering hard time windows: Solved by a hybrid ELS-LNS algorithm