Results 31 to 40 of about 12,788,874 (304)
Remote Sensing, 2023 Frequency-diverse radar imaging is an emerging field that combines computational imaging with frequency-diverse techniques to interrogate the high-quality images of objects.
Zhenhua Wu +6 more
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Dynamic Data-Driven Application System for Flow Field Prediction with Autonomous Marine Vehicles
Journal of Marine Science and Engineering, 2023 Efficiently predicting high-resolution and accurate flow fields through networked autonomous marine vehicles (AMVs) is crucial for diverse applications.
Qianlong Jin +5 more
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Adaptively sampled particle fluids [PDF]
ACM SIGGRAPH 2007 papers, 2007 We present novel adaptive sampling algorithms for particle-based fluid simulation. We introduce a sampling condition based on geometric local feature size that allows focusing computational resources in geometrically complex regions, while reducing the number of particles deep inside the fluid or near thick flat surfaces.
Adams, Bart +3 more
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Microbiology Spectrum, 2023 Borrelia spirochetes, causative agents of Lyme disease and relapsing fever (RF), have uniquely complex genomes, consisting of a linear chromosome and both circular and linear plasmids. The plasmids harbor genes important for the vector-host life cycle of
Alexander R. Kneubehl, Job E. Lopez
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Marine Adaptive Sampling Scheme Design for Mobile Platforms under Different Scenarios
Journal of Marine Science and Engineering, 2022 Marine adaptive sampling is a technique that makes full use of limited observation resources by selecting the optimal positions. Recently, the design of an adaptive sampling scheme based on a mobile platform has become a research hotspot.
Yuxin Zhao +3 more
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AdaptiveBandit: A multi-armed bandit framework for adaptive sampling in molecular simulations. [PDF]
Journal of Chemical Theory and Computation, 2020 Sampling from the equilibrium distribution has always been a major problem in molecular simulations due to the very high dimensionality of conformational space.
Adrià Pérez +3 more
semanticscholar +1 more source
Journal of Forest Science, 2012 Based on two species of Coastal Mangrove in Hainan of China, Sonneratia Apetala Buch-Ham and Sonneratia caseoli, we estimated the density of the two species to evaluate the efficiency of adaptive cluster sampling (ACS), simple random sampling (SRS) and ...
Y. Lei, J. Shi, T. Zhao
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Layered adaptive importance sampling [PDF]
Statistics and Computing, 2016 Monte Carlo methods represent the "de facto" standard for approximating complicated integrals involving multidimensional target distributions. In order to generate random realizations from the target distribution, Monte Carlo techniques use simpler proposal probability densities to draw candidate samples.
Martino, Luca +3 more
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A Highly Adaptive Oversampling Approach to Address the Issue of Data Imbalance
Computers, 2022 Data imbalance is a serious problem in machine learning that can be alleviated at the data level by balancing the class distribution with sampling.
Szilvia Szeghalmy, Attila Fazekas
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State-of-the-Art and Comparative Review of Adaptive Sampling Methods for Kriging
Archives of Computational Methods in Engineering, 2020 Metamodels aim to approximate characteristics of functions or systems from the knowledge extracted on only a finite number of samples. In recent years kriging has emerged as a widely applied metamodeling technique for resource-intensive computational ...
J. Fuhg, A. Fau, U. Nackenhorst
semanticscholar +1 more source