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Integrating proximal soil sensing data and environmental variables to enhance the prediction accuracy for soil salinity and sodicity in a region of Xinjiang Province, China
Neural network design for data-driven prediction of target geometry for an aerodynamic inverse design algorithm
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
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
Adaptive Dynamic Surface Control for Uncertain Nonlinear Time-Delay Cyber-Physical Systems Under Injection and Deception Attacks
An Intelligent Approach to Predict the Squeezing Severity and Tunnel Deformation in Squeezing Grounds
A Heuristic Solution Algorithm for a Comprehensive Optimal Phasor Measurement Unit Placement Considering Zero-Injection Buses and Practical Constraints in Power System State Observability Problem
Protecting alpine biodiversity in the Middle East from climate change: Implications for high-elevation birds
Evaluation of layer-by-layer assembly systems for drug delivery and antimicrobial properties in orthopaedic application
Improving prediction accuracy of CSM-CERES-Wheat model for water and nitrogen response using a modified Penman-Monteith equation in a semi-arid region
Eigenvector Spatial Filtering Enhancing Natural Hazards Vulnerability Assessment in a Susceptible Urban Environment: A Case Study of Izmir Earthquake in Turkey
Star-spot activity, orbital obliquity, transmission spectrum, physical properties, and transit time variations of the HATS-2 planetary system
A supplementary controller to mitigate damped oscillations in power systems' components based on the internal model principle