Search alternatives:
protein optimization » process optimization (Expand Search), property optimization (Expand Search), driven optimization (Expand Search)
basic protein » based protein (Expand Search), capsid protein (Expand Search)
active swarm » active swarms (Expand Search), active state (Expand Search), active space (Expand Search)
binary basic » binary mask (Expand Search)
protein optimization » process optimization (Expand Search), property optimization (Expand Search), driven optimization (Expand Search)
basic protein » based protein (Expand Search), capsid protein (Expand Search)
active swarm » active swarms (Expand Search), active state (Expand Search), active space (Expand Search)
binary basic » binary mask (Expand Search)
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Solubility Prediction of Different Forms of Pharmaceuticals in Single and Mixed Solvents Using Symmetric Electrolyte Nonrandom Two-Liquid Segment Activity Coefficient Model
Published 2019“…Because of the semipredictive nature of the symmetric eNRTL-SAC model, the segment parameter regression is a critical step for solubility prediction accuracy. A particle swarm optimization algorithm is incorporated to preregress conceptual segment parameters of solutes. …”
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Thesis-RAMIS-Figs_Slides
Published 2024“…<br><br>Finally, although the developed concepts, ideas and algorithms have been developed for inverse problems in geostatistics, the results are applicable to a wide range of disciplines where similar sampling problems need to be faced, included but not limited to design of communication networks, optimal integration and communication of swarms of robots and drones, remote sensing.…”