بدائل البحث:
process optimization » model optimization (توسيع البحث)
based process » based processes (توسيع البحث), based probes (توسيع البحث), based proteins (توسيع البحث)
image global » image 1_global (توسيع البحث), image 2_global (توسيع البحث), image 3_global (توسيع البحث)
linear based » lines based (توسيع البحث), linear unbiased (توسيع البحث), linear lagged (توسيع البحث)
process optimization » model optimization (توسيع البحث)
based process » based processes (توسيع البحث), based probes (توسيع البحث), based proteins (توسيع البحث)
image global » image 1_global (توسيع البحث), image 2_global (توسيع البحث), image 3_global (توسيع البحث)
linear based » lines based (توسيع البحث), linear unbiased (توسيع البحث), linear lagged (توسيع البحث)
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Optimal Design of Aqueous Two-Phase Systems for Biomolecule Partitioning
منشور في 2023"…By integrating these two ANN-GC models into the computer-aided design technique, the optimal ATPS is identified by solving an optimization-based mixed-integer non-linear programming (MINLP) problem. …"
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Bayesian Optimization Methods for Nonlinear Model Calibration
منشور في 2025"…When considering noisy or stochastic expensive models, emulator GPBO finds the true parameters in 62% of the instances compared to approximately 0% for gradient-based nonlinear least-squares. We show that GPBO is more efficient than other popular derivative-free search algorithms, including genetic algorithms, the Nelder–Mead algorithm, or the simplicial homology global optimization algorithm. …"
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Bayesian Optimization Methods for Nonlinear Model Calibration
منشور في 2025"…When considering noisy or stochastic expensive models, emulator GPBO finds the true parameters in 62% of the instances compared to approximately 0% for gradient-based nonlinear least-squares. We show that GPBO is more efficient than other popular derivative-free search algorithms, including genetic algorithms, the Nelder–Mead algorithm, or the simplicial homology global optimization algorithm. …"
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Bayesian Optimization Methods for Nonlinear Model Calibration
منشور في 2025"…When considering noisy or stochastic expensive models, emulator GPBO finds the true parameters in 62% of the instances compared to approximately 0% for gradient-based nonlinear least-squares. We show that GPBO is more efficient than other popular derivative-free search algorithms, including genetic algorithms, the Nelder–Mead algorithm, or the simplicial homology global optimization algorithm. …"
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Bayesian Optimization Methods for Nonlinear Model Calibration
منشور في 2025"…When considering noisy or stochastic expensive models, emulator GPBO finds the true parameters in 62% of the instances compared to approximately 0% for gradient-based nonlinear least-squares. We show that GPBO is more efficient than other popular derivative-free search algorithms, including genetic algorithms, the Nelder–Mead algorithm, or the simplicial homology global optimization algorithm. …"
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datasheet1_Sensor System and Observer Algorithm Co-Design For Modern Internal Combustion Engine Air Management Based on H2 Optimization.pdf
منشور في 2021"…<p>This paper outlines a novel sensor selection and observer design algorithm for linear time-invariant systems with both process and measurement noise based on H<sub>2</sub> optimization to optimize the tradeoff between the observer error and the number of required sensors. …"
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