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End-to-end optimal detector design with mutual information surrogates

Machine Learning: Science and Technology
We introduce a novel approach for end-to-end black-box optimization of high energy physics (HEP) detectors using local deep learning surrogates. These surrogates approximate a scalar objective function that encapsulates the complex interplay of particle ...
Kinga Anna Woźniak, Stephen Mulligan, Jan Kieseler, Markus Klute, François Fleuret, Tobias Golling   +5 more
doaj   +1 more source

Advancing Exoskeleton Development: Validation of a Robotic Surrogate to Measure Tibial Strain

Bioengineering
Bone stress injuries are prevalent among athletes and military recruits and can significantly compromise training schedules. The development of an ankle–foot orthosis to reduce tibial load and enable a faster return to activity will require new device ...
Robert L. McGrath, Ciera A. Price, William Brett Johnson, Walter Lee Childers   +3 more
doaj   +1 more source

Biomechanical Modeling of Human Skin Tissue Surrogates

Biomimetics, 2018
Surrogates, which precisely simulate nonlinear mechanical properties of the human skin at different body sites, would be indispensable for biomechanical testing applications, such as estimating the accurate load response of skin implants and prosthetics ...
Arnab Chanda
doaj   +1 more source

Creating a Real‐Time Capable Surrogate Model of a Wind Turbine Using Machine Learning

Wind Energy
Multibody simulation (MBS) is an established method for modeling wind turbines for purposes such as load calculation. While capable of modeling wind turbines at high levels of detail, large MBS models can be computationally expensive.
Stefan Witter, Jakob Roth, Ralf Schelenz, Georg Jacobs   +3 more
doaj   +1 more source

Predictive Value of Exhaled Nitric Oxide and Blood Eosinophil Count in the Assessment of Airway Eosinophilia in COPD

International Journal of COPD, 2020
Balazs Antus,1,2 Csilla Paska,1 Imre Barta1 1Department of Pathophysiology, National Koranyi Institute of Pulmonology, Budapest H-1121, Hungary; 2Department of Pulmonology, National Koranyi Institute of Pulmonology, Budapest H-1121, HungaryCorrespondence:
Antus B, Paska C, Barta I
doaj  

Measuring Variant-Specific Neutralizing Antibody Profiles after Bivalent SARS-CoV-2 Vaccinations Using a Multivariant Surrogate Virus Neutralization Microarray

Vaccines
The capability of antibodies to neutralize different SARS-CoV-2 variants varies among individuals depending on the previous exposure to wild-type or Omicron-specific immunogens by mono- or bivalent vaccinations or infections.
David Niklas Springer, Eva Höltl, Katja Prüger, Elisabeth Puchhammer-Stöckl, Judith Helene Aberle, Karin Stiasny, Lukas Weseslindtner   +6 more
doaj   +1 more source

Development of an Anti-Idiotypic VHH Antibody and Toxin-Free Enzyme Immunoassay for Ochratoxin A in Cereals

Toxins, 2019
Enzyme-linked immunosorbent assay (ELISA) test kits have been widely used for the determination of mycotoxins in agricultural products and foods, however, this test uses toxin standards with high toxicity and carcinogenicity that seriously threaten human
Caixia Zhang, Qi Zhang, Xiaoqian Tang, Wen Zhang, Peiwu Li   +4 more
doaj   +1 more source

Hierarchical Online Air Combat Maneuver Decision Making and Control Based on Surrogate-Assisted Differential Evolution Algorithm

Drones
One-to-one within-visual-range air combat of unmanned combat aerial vehicles (UCAVs) requires fast, continuous, and accurate decision-making to achieve air combat victory.
Mulai Tan, Haocheng Sun, Dali Ding, Huan Zhou, Tong Han, Yuequn Luo   +5 more
doaj   +1 more source

Deep LSTM Surrogates for MEMD: A Noise-Assisted Approach to EEG Intrinsic Mode Function Extraction

Information
In this paper, we propose a deep learning-based surrogate model for Multivariate Empirical Mode Decomposition (MEMD) using Long Short-Term Memory (LSTM) networks, aimed at efficiently extracting Intrinsic Mode Functions (IMFs) from ...
Pablo Andres Muñoz-Gutierrez, Diego Fernando Ramirez-Jimenez, Eduardo Giraldo   +2 more
doaj   +1 more source

A Gumbel-Based Selection Data-Driven Evolutionary Algorithm and Its Application to Chinese Text-Based Cheating Official Accounts Mining

Algorithms
Data-driven evolutionary algorithms (DDEAs) are essential computational intelligent methods for solving expensive optimization problems (EOPs). The management of surrogate models for fitness predictions, particularly the selection and integration of ...
Jiheng Yuan, Jian-Yu Li
doaj   +1 more source