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Adaptive tracking control for nonlinear multi-agent systems with stuck failures and unknown control directions
Adaptive tracking control for nonlinear multi-agent systems with stuck failures and unknown control directions
A multi-objective optimization approach for overlapping dynamic community detection
Real-Time Prediction of Disc Cutter Wear in Low-Abrasive Rocks: Integrating Physico-Mechanical Properties and Signal Processing Features Through Machine Learning Methods
Real-Time Prediction of Disc Cutter Wear in Low-Abrasive Rocks: Integrating Physico-Mechanical Properties and Signal Processing Features Through Machine Learning Methods
Effects of different washing and precipitating solutions on sugar content, cytotoxicity, chemical structure and prebiotic potential of pistachio hull polysaccharide
Adaptive Dynamic Surface Control for Uncertain Nonlinear Time-Delay Cyber-Physical Systems Under Injection and Deception Attacks
Beyond immediate relief: Investigating multi-faceted water management in inter-basin water transfer projects
Machine learning-driven scenario-based models for predicting desert dust sources in central playas of Iran
Modeling the effect of slope aspect on temporal variation of soil water content and matric potential using different approaches by HYDRUS-1D
Modeling the effect of slope aspect on temporal variation of soil water content and matric potential using different approaches by HYDRUS-1D
Modeling the effect of slope aspect on temporal variation of soil water content and matric potential using different approaches by HYDRUS-1D
Digital mapping of soil physical and mechanical properties using machine learning at the watershed scale
Digital mapping of soil physical and mechanical properties using machine learning at the watershed scale
A game theoretic approach to designing carbon regulations in a duopoly freight transportation market: Road and multimodal road-rail competitive systems