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Pricing and ordering decisions of recyclables under a sustainable supply chain management: A game-theoretic approach
Fault Detection in a Single-Bus DC Microgrid Connected to EV/PV Systems and Hybrid Energy Storage Using the DMD-IF Method
Fault Detection in a Single-Bus DC Microgrid Connected to EV/PV Systems and Hybrid Energy Storage Using the DMD-IF Method
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
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
Metal organic and covalent organic framework-based QCM sensors for environmental pollutant detection and beyond
Investigation of Polyamide 12 Powder Cooling Process under Natural Convection via Porous Medium, Non-porous Medium, and Experimental Approaches
A Bayesian Gaussian Process-Based Latent Discriminative Generative Decoder (LDGD) Model for High-Dimensional Data
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