19 papers · ranked by Valyu relevance
Chandrika Kamath
Sampling techniques are used in many fields, including design of experiments, image processing, and graphics. The techniques in each field are designed to meet the constraints specific to that field such as uniform coverage of the range of each dimension or random samples that are at least a certain distance apart from…
C. Devon Lin, Boxin Tang
| 19.1 Introduction | 1 | | | | | --- | --- | --- | --- | --- | | 19.2 Latin Hypercube Designs | 3 | | | | | 19.2.1 | Introduction and examples | 3 | | | | 19.2.2 | Latin hypercube designs based on measures of distance | | | 6 | | 19.2.3 | Orthogonal array-based Latin hypercube designs | | 11 | | | 19.2.4 | Orthogonal…
Hanjui Chang, Shuzhou Lu, Yue Sun, Guangyi Zhang + 4 more
'Adam Gnatowski' 'Paweł Palutkiewicz' 'Jana Petru'] Highlights What are the main findings? 1. In this study, we apply the Latin hypercube sampling method for sampling and combine the CGIDN and response surface modeling methods, which can effectively optimize the injection process. 2. The CGIDN method allows a small…
Dan Wang, Jiayu Lin, Yuan‐Gen Wang
In order to be applicable in real-world scenario, Boundary Attacks (BAs) were proposed and ensured one hundred percent attack success rate with only decision information. However, existing BA methods craft adversarial examples by leveraging a simple random sampling (SRS) to estimate the gradient, consuming a large…
Binbin Tu, Fei Wang, Yan Huo, Xiaotian Wang
The grey wolf optimizer is an effective and well-known meta-heuristic algorithm, but it also has the weaknesses of insufficient population diversity, falling into local optimal solutions easily, and unsatisfactory convergence speed. Therefore, we propose a hybrid grey wolf optimizer (HGWO), based mainly on the…
Mingjun Ye, Heng Zhou, Haoyu Yang, Bin Hu + 4 more
'Ameer Hamza Khan' 'Shuai Li' 'Danish Hussain'] The dung beetle optimization (DBO) algorithm, a swarm intelligence-based metaheuristic, is renowned for its robust optimization capability and fast convergence speed. However, it also suffers from low population diversity, susceptibility to local optima solutions, and…
Song Liu, Baoren Li, Runlin Gan, Yue Xu + 1 more
A good surface texture design can effectively improve the tribological performance of the helical pair within a helical hydraulic rotary actuator(HHRA). However, the optimization design process can be time-consuming due to the multiple design variables involved and the complexity of the mathematical model. This paper…
Yao Xiao, Kang Fu, Kun Li
The sampling importance resampling method is widely utilized in various fields, such as numerical integration and statistical simulation. In this paper, two modified methods are presented by incorporating two variance reduction techniques commonly used in Monte Carlo simulation, namely antithetic sampling and Latin…
Guerlain Lambert, Céline Helbert, Claire Lauvernet
analysis of environmental models Authors: ['Guerlain Lambert' 'Céline Helbert' 'Claire Lauvernet'] Numerical modeling is essential for comprehending intricate physical phenomena in different domains. To handle complexity, sensitivity analysis, particularly screening, is crucial for identifying influential input…
Hanjui Chang, Fei Long, Jiaquan Li
In the high-risk environment of firefighting operations, the safety of firefighters depends on the performance of advanced protective equipment. This paper proposes a magnetic levitation shield that combines thin-film in-mold electronic (IME) forming technology and magnetic levitation control as protective equipment.…
Meiru Yan, Ankeer Abuduhebaier, Haojin Zhou, Jiaqi Wang
Accurate AI prediction of peptide physicochemical properties is essential for advancing peptide-based biomedicine, biotechnology, and bioengineering. However, the performance of predictive AI models is significantly affected by the representativeness of the training data, which depends on the sample size and sampling…
Saeideh Faghfouri, Alfred Strauss, Mateusz Iwański, Agnieszka Woszuk
The reliability of engineering structures is essential to ensure safety, durability, and sustainability. In reinforced concrete (RC), shear resistance is one of the most uncertain design aspects due to the natural variability of material properties and construction quality. Conventional design methods defined by…
Andreas Nygaard, Emil Brinch Holm, Steen Hannestad, Thomas Tram
emulators Authors: ['Andreas Nygaard' 'Emil Brinch Holm' 'Steen Hannestad' 'Thomas Tram'] Abstract. Cosmological emulators of observables such as the Cosmic Microwave Background (CMB) spectra and matter power spectra commonly use training data sampled from a Latin hypercube. This method often incurs high computational…
Leyi Zhang, Han Cao, Karen Medlin, Jason Pearson + 4 more
Throughout the COVID-19 pandemic, positive nasal swab tests have revealed dramatic population heterogeneity in viral titers spanning 6 orders-of-magnitude. Our goal here is to probe potential drivers of infection outcome sensitivity arising from (i) physiological heterogeneity between hosts and (ii) host-variant…
Xiaobin Mou, Xiaopeng Huang, Guojun Ma, Qi Luo + 4 more
'Shanglong Xin' 'Fangxin Wan' 'Lavelli Vera Agnese'] Quality control of fresh Lycium barbarum during storage presents significant challenges, particularly regarding the unclear relationship between quality characteristics and storage conditions. This study analyzes the changes in qualitative and structural…
Travis Torres, Nicola Anselmi, Payam Nayeri, Paolo Rocca + 3 more
'Randy Haupt' 'Pedro Pinho' 'Andrea Randazzo'] Sparse arrays have grating lobes in the far field pattern due to the large spacing of elements residing in a rectangular or triangular grid. Random element spacing removes the grating lobes but produces large variations in element density across the aperture. In fact, some…
Marcus T. Moen, Iain G. Johnston
The progression of cancer and other diseases, the evolution of organismal features in biology, and a wide range of broader questions can often be viewed as the sequential stochastic acquisition of binary traits (for example, genetic changes, symptoms, or characters). Using potentially noisy or incomplete data to learn…
Mahmudur Rahman Hera, David Koslicki, Conrado Martínez
With the surge in sequencing data generated from an ever-expanding range of biological studies, designing scalable computational techniques has become essential. One effective strategy to enable large-scale computation is to split long DNA or protein sequences into k-mers, and summarize large k-mer sets into compact…
Paul Masset, Jacob A. Zavatone-Veth, J. Patrick Connor, Venkatesh N. Murthy + 1 more
For animals to navigate an uncertain world, their brains need to estimate uncertainty at the timescales of sensations and actions. Sampling-based algorithms afford a theoretically-grounded framework for probabilistic inference in neural circuits, but it remains unknown how one can implement fast sampling algorithms in…