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Aluminum phosphate-based coatings: a novel approach to next-generation of protective and thermal barrier coatings
Decentralized Configuration of TSCH-Based IoT Networks for Distinctive QoS: A Deep Reinforcement Learning Approach
Time-Of-Use pricing in an energy sustainable supply chain with government interventions: A game theory approach
Investigations of nanofluid flow and heat transfer in a rotating microchannel using single- and two-phase approaches
A differentially private location generalization approach to guarantee non-uniform privacy in moving objects databases
Non-Markovian open quantum system approach to the early Universe: Damping of gravitational waves by matter
A novel control approach for harmonic compensation using switched power filter compensators in micro?grids
Predicting heavy metal contents by applying machine learning approaches and environmental covariates in west of Iran
The available approaches for using traffic speed Deflectometer data at network level pavement management system
Joint Lifetime-Outage Optimization in Relay-Enabled IoT NetworksA Deep Reinforcement Learning Approach
Data-Driven Prediction of Janus/Core-Shell Morphology in Polymer Particles: A Machine-Learning Approach
Antikaon-nucleon interaction within three-dimensional approach: homogeneous and inhomogeneous Lippmann-Schwinger equations
Classroom Interaction Learner Autonomy Pedagogical Scaffolding and Learner Identity: A Structural Equation Modelling Approach
Investigating environmental and economic aspects of sustainability by recycling PET plastic bottles: A game-theoretic approach
A Reliable and Ensemble Forecasting model for Slow-moving and Repairable Spare Parts: Data Mining Approach