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Bridging prediction and optimization: A unified MINLP, traditional machine learning and deep learning framework for water distribution networks management
Nearly optimal fixed time sliding mode controller for leader-follower consensus problem with partially unknown nonlinear agents
Modeling, prediction, and optimization of steam methane reforming in porous foams using computational fluid dynamics and machine learning approaches
Mapping Synthesis-Structure-Performance Relationships: A Data- Driven Framework for Optimizing Ni Electrodeposition in Non- Enzymatic Glucose Sensors
Smart management of electric vehicle integration: peak shaving and valley filling through locational marginal pricing and metaheuristic optimization
Evaluation of combined technology of low-pressure systems of nutrients injection and high-pressure electronic device of poison injection into the trunk for Sarta beetle control on elm trees.
Use of the time series and multi-temporal features of Sentinel-1/2 satellite imagery to predict soil inorganic and organic carbon in a low-relief area with a semi-arid environment
Use of the time series and multi-temporal features of Sentinel-1/2 satellite imagery to predict soil inorganic and organic carbon in a low-relief area with a semi-arid environment
Comparison of the performance and EIS (electrochemical impedance spectroscopy) response of an activated PEMFC (proton exchange membrane fuel cell) under low and high thermal and pressure stresses
Application of a Bayesian Artificial Neural Network and the Reversible Jump Markov Chain Monte Carlo Method to predict the grain size of hot strip low carbon steels
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 Calcium Chloride, Ocher, and PP Fibers on the Mechanical Properties of Low Cement High-Performance Concrete with Ca(OH)2-Activated Slag Binder: A Novel Approach
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
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