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A neural-mechanistic hybrid approach improving the predictive power of genome-scale metabolic models
In this study, we present an approach that combines machine learning (ML) and mechanistic modeling (MM) to improve the performance of constraint-based modeling (CBM) on genome-scale metabolic models ...
Astex Pharmaceuticals, 436 Cambridge Science Park, Milton Road, Cambridge CB4 0QA, U.K. Innovation Centre in Digital Molecular Technologies, Department of Chemistry, University of Cambridge, Lensfield ...
Hydropower plants are known as major renewable energy sources, usually used to meet energy demand during peak periods. The performance of hydropower reservoir systems is mainly affected by their ...
Uncertainties are widespread in the optimization of process systems, such as uncertainties in process technologies, prices, and customer demands. In this paper, we review the basic concepts and recent ...
Department of Computer Science, School of Engineering & Computer Science, Baylor University, Waco, USA. Department of Electrical & Computer Engineering, Autonomous University of Ciudad Juárez, Ciudad ...
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