Bi-objective Bayesian optimization of engineering problems with cheap and expensive cost functions
Multi-objective optimization of complex engineering systems is a challenging problem. The
design goals can exhibit dynamic and nonlinear behaviour with respect to the system's …
design goals can exhibit dynamic and nonlinear behaviour with respect to the system's …
[HTML][HTML] Model calibration using ESEm v1. 1.0–an open, scalable Earth system emulator
Large computer models are ubiquitous in the Earth sciences. These models often have tens
or hundreds of tuneable parameters and can take thousands of core hours to run to …
or hundreds of tuneable parameters and can take thousands of core hours to run to …
Linking ADHD and behavioral assessment through identification of shared diagnostic task-based functional connections
A mixed literature implicates atypical connectivity involving attentional, reward and task
inhibition networks in ADHD. The neural mechanisms underlying the utility of behavioral …
inhibition networks in ADHD. The neural mechanisms underlying the utility of behavioral …
Designing robust biotechnological processes regarding variabilities using multi-objective optimization applied to a biopharmaceutical seed train design
T Hernández Rodríguez, A Sekulic… - Processes, 2022 - mdpi.com
Development and optimization of biopharmaceutical production processes with cell cultures
is cost-and time-consuming and often performed rather empirically. Efficient optimization of …
is cost-and time-consuming and often performed rather empirically. Efficient optimization of …
Fast characterization of input-output behavior of non-charge-based logic devices by machine learning
Non-charge-based logic devices are promising candidates for the replacement of
conventional complementary metal-oxide semiconductors (CMOS) devices. These devices …
conventional complementary metal-oxide semiconductors (CMOS) devices. These devices …