Results 81 to 90 of about 22,296,575 (338)

Surrogate Models and Ensemble Strategies for Expensive Evolutionary Optimization: An Industrial Case Study

IEEE Access
Expensive optimization problems are characterized by the significant amount of time and resources needed to determine the quality of potential solutions.
Mario Garza-Fabre, Nicolas Cortes-Garcia, Hiram Galeana-Zapien, Ricardo Landa   +3 more
doaj   +1 more source

A Surrogate Model Based on Artificial Neural Networks for Wave Propagation in Uncertain Media

IEEE Access, 2020
Soil materials can exhibit strongly dispersive properties in the operating frequency range of a physical system, and the uncertain parameters of the dispersive materials introduce uncertainties in the simulation result of propagating waves.
Xi Cheng, Zhi-Yong Zhang, Wei Shao
doaj   +1 more source

Convergence of Weak-SINDy Surrogate Models

SIAM Journal on Applied Dynamical Systems
In this paper, we give an in-depth error analysis for surrogate models generated by a variant of the Sparse Identification of Nonlinear Dynamics (SINDy) method. We start with an overview of a variety of non-linear system identification techniques, namely, SINDy, weak-SINDy, and the occupation kernel method.
Benjamin P. Russo, M. Paul Laiu
openaire   +3 more sources

Hematopoietic (stem) cells—The elixir of life?

FEBS Letters, EarlyView.
The aging of HSCs (hematopoietic stem cells) and the blood system leads to the decline of other organs. Rejuvenating aged HSCs improves the function of the blood system, slowing the aging of the heart, kidney, brain, and liver, and the occurrence of age‐related diseases.
Emilie L. Cerezo, Jonah Anderson, Emilie Dinh Vedrenne, Noël Yeh Martín, Jette Lengefeld   +4 more
wiley   +1 more source

Structural insights into lacto‐N‐biose I recognition by a family 32 carbohydrate‐binding module from Bifidobacterium bifidum

FEBS Letters, EarlyView.
Bifidobacterium bifidum establishes symbiosis with infants by metabolizing lacto‐N‐biose I (LNB) from human milk oligosaccharides (HMOs). The extracellular multidomain enzyme LnbB drives this process, releasing LNB via its catalytic glycoside hydrolase family 20 (GH20) lacto‐N‐biosidase domain.
Xinzhe Zhang, Naoki Sunagawa, Toma Kashima, Kiyohiko Igarashi, Akimasa Miyanaga, Shinya Fushinobu   +5 more
wiley   +1 more source

Fast Multi-Objective Optimization of Multi-Parameter Antenna Structures Based on Improved BPNN Surrogate Model

IEEE Access, 2019
In this paper, a surrogate model based on a sparsely connected back propagation neural networks (SC-BPNN) is proposed to reduce the large computational cost of conventional multi-objective antenna optimization problems.
Jian Dong, Wenwen Qin, Meng Wang
semanticscholar   +1 more source

Crosstalk between the ribosome quality control‐associated E3 ubiquitin ligases LTN1 and RNF10

FEBS Letters, EarlyView.
Loss of the E3 ligase LTN1, the ubiquitin‐like modifier UFM1, or the deubiquitinating enzyme UFSP2 disrupts endoplasmic reticulum–ribosome quality control (ER‐RQC), a pathway that removes stalled ribosomes and faulty proteins. This disruption may trigger a compensatory response to ER‐RQC defects, including increased expression of the E3 ligase RNF10 ...
Yuxi Huang, Satoshi Hashimoto, Sota Ito, Chisato Kikuguchi, Miho Hoshi, Kiyoshi Yamaguchi, Yoichi Furukawa, Toru Suzuki, Toshifumi Inada   +8 more
wiley   +1 more source

AI-Driven Surrogate Model for Room Ventilation

Fluids
The control of ventilation systems is often performed by automatic algorithms which often do not consider the future evolution of the system in its control politics. Digital twins allow system forecasting for a more sophisticated control.
Jaume Luis-Gómez, Francisco Martínez, Alejandro González-Barberá, Javier Mascarós, Guillem Monrós-Andreu, Sergio Chiva, Elisa Borrás, Raúl Martínez-Cuenca   +7 more
doaj   +1 more source

Decomposition-Assisted Computational Technique Based on Surrogate Modeling for Real-Time Simulations

Complexity, 2017
The development of complex simulation systems is extremely costly as it requires high computational capability and expensive hardware. As cost is one of the main issues in developing simulation components, achieving real-time simulation is challenging ...
Nariman Fouladinejad, Nima Fouladinejad, Mohamad Kasim Abdul Jalil, Jamaludin Mohd Taib   +3 more
doaj   +1 more source

Accelerated System-Level Seismic Risk Assessment of Bridge Transportation Networks through Artificial Neural Network-Based Surrogate Model

, 2020
In this study, an artificial neural network (ANN)-based surrogate model is proposed to evaluate the system-level seismic risk of bridge transportation networks efficiently.
Sungsik Yoon, Jeongseob Kim, Minsung Kim, Hye-young Tak, Young-Joo Lee   +4 more
semanticscholar   +1 more source