Results 51 to 60 of about 186,324 (294)

A Surrogate Modeling Approach for the Development of Biorefineries

Frontiers in Chemical Engineering, 2020
Biorefinery processes are challenged to make effective use of commercial flowsheeting software. Challenges include the lack of property data, complexity of raw materials, and emerging non-conventional processes and technologies.
Aikaterini D. Mountraki, Aikaterini D. Mountraki, Aikaterini D. Mountraki, Bouchra Benjelloun-Mlayah, Antonis C. Kokossis   +4 more
doaj   +1 more source

Universal Prediction Distribution for Surrogate Models [PDF]

SIAM/ASA Journal on Uncertainty Quantification, 2017
The use of surrogate models instead of computationally expensive simulation codes is very convenient in engineering. Roughly speaking, there are two kinds of surrogate models: the deterministic and the probabilistic ones. These last are generally based on Gaussian assumptions.
Ben Salem, Malek, Roustant, Olivier, Gamboa, Fabrice, Tomaso, Lionel   +3 more
openaire   +5 more sources

Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation

FEBS Letters, EarlyView.
Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe, Tanmay Kumar Mohanty, Rashna Bhandari, Dorothea Fiedler   +3 more
wiley   +1 more source

An intelligent reliability-based design optimization of complex engineering structures using manifold learning-enhanced surrogate modeling

Advances in Mechanical Engineering
With the increasing integration of computer science and engineering optimization, the capabilities of advanced machine learning in data processing and surrogate modeling for complex simulations have provided a transformative development direction for ...
Hang Zhou, Yimin Shen, Song Chen, Xiaoping Jing   +3 more
doaj   +1 more source

Optimal Tilt-Wing eVTOL Takeoff Trajectory Prediction Using Regression Generative Adversarial Networks

Mathematics, 2023
Electric vertical takeoff and landing (eVTOL) aircraft have attracted tremendous attention nowadays due to their flexible maneuverability, precise control, cost efficiency, and low noise.
Shuan-Tai Yeh, Xiaosong Du
doaj   +1 more source

Evolutionary model type selection for global surrogate modeling [PDF]

, 2009
Due to the scale and computational complexity of currently used simulation codes, global surrogate (metamodels) models have become indispensable tools for exploring and understanding the design space.
De Turck, Filip, Dhaene, Tom, Gorissen, Dirk   +2 more
core   +1 more source

Function‐driven design of a surrogate interleukin‐2 receptor ligand

FEBS Letters, EarlyView.
Interleukin (IL)‐2 signaling can be achieved and precisely fine‐tuned through the affinity, distance, and orientation of the heterodimeric receptors with their ligands. We designed a biased IL‐2 surrogate ligand that selectively promotes effector T and natural killer cell activation and differentiation. Interleukin (IL) receptors play a pivotal role in
Ziwei Tang, Zelin Cheng, Teng Li, Fulian Wang, Liangminghui Zhang, Xiuxiu He, Lili Liu, Wei Wang, Aibin Liang, Guang Yang   +9 more
wiley   +1 more source

Support Vector Regression-Based Optimization for Triple Friction Pendulum Bearings: Achieving Computational Efficiency [PDF]

Journal of Soft Computing in Civil Engineering
Triple friction pendulum bearings (TFPBs) enhance the seismic resilience of base-isolated buildings. However, optimizing TFPB designs is computationally expensive, necessitating surrogate modeling techniques.
Mahnaz Akbarzaghi, Behrooz Ahmadi Nedushan, Hamed Tajammolian   +2 more
doaj   +1 more source

Evaluation of global sensitivity analysis methods for computational structural mechanics problems

Data-Centric Engineering, 2023
The curse of dimensionality confounds the comprehensive evaluation of computational structural mechanics problems. Adequately capturing complex material behavior and interacting physics phenomenon in models can lead to long run times and memory ...
Cody R. Crusenberry, Adam J. Sobey, Stephanie C. TerMaath   +2 more
doaj   +1 more source

Detecting periodicity in experimental data using linear modeling techniques [PDF]

, 1998
Fourier spectral estimates and, to a lesser extent, the autocorrelation function are the primary tools to detect periodicities in experimental data in the physical and biological sciences.
C. S. Burrus, G. Schwarz, H. Akaike, H. Tong, J. Rissanen, J. Theiler, J. Theiler, K. Judd, Kevin Judd, L. Aguirre, M. Small, M. Small, Michael Small, N. Nicholls, P. J. Brusil, V. Haggan   +15 more
core   +2 more sources