Results 21 to 30 of about 12,788,874 (304)
Applied Mathematics and Mechanics, 2023 We consider solving the forward and inverse partial differential equations (PDEs) which have sharp solutions with physics-informed neural networks (PINNs) in this work.
Zhiping Mao, Xuhui Meng
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Adaptive Metrics for Adaptive Samples [PDF]
Algorithms, 2020 We generalize the local-feature size definition of adaptive sampling used in surface reconstruction to relate it to an alternative metric on Euclidean space. In the new metric, adaptive samples become uniform samples, making it simpler both to give adaptive sampling versions of homological inference results and to prove topological guarantees using the
Nicholas J. Cavanna, Donald R. Sheehy
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Nanopore adaptive sampling: a tool for enrichment of low abundance species in metagenomic samples
Genome Biology, 2021 Adaptive sampling is a method of software-controlled enrichment unique to nanopore sequencing platforms. To test its potential for enrichment of rarer species within metagenomic samples, we create a synthetic mock community and construct sequencing ...
Samuel Martin +5 more
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ReadBouncer: precise and scalable adaptive sampling for nanopore sequencing
bioRxiv, 2022 Nanopore sequencers allow targeted sequencing of interesting nucleotide sequences by rejecting other sequences from individual pores. This feature facilitates the enrichment of low-abundant sequences by depleting overrepresented ones in-silico.
Jens-Uwe Ulrich +3 more
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Adsorption Sites on Pd Nanoparticles Unraveled by Machine-Learning Potential with Adaptive Sampling
Molecules, 2022 Catalytic properties of noble-metal nanoparticles (NPs) are largely determined by their surface morphology. The latter is probed by surface-sensitive spectroscopic techniques in different spectra regions.
Andrei Tereshchenko +5 more
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Attention-Aware Patch-Based CNN for Blind 360-Degree Image Quality Assessment
Sensors, 2023 An attention-aware patch-based deep-learning model for a blind 360-degree image quality assessment (360-IQA) is introduced in this paper. It employs spatial attention mechanisms to focus on spatially significant features, in addition to short skip ...
Abderrezzaq Sendjasni +1 more
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Estimating viral prevalence with data fusion for adaptive two‐phase pooled sampling
Ecology and Evolution, 2021 The COVID‐19 pandemic has highlighted the importance of efficient sampling strategies and statistical methods for monitoring infection prevalence, both in humans and in reservoir hosts.
Andrew Hoegh +6 more
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Performance-Adaptive Sampling Strategy Towards Fast and Accurate Graph Neural Networks
Knowledge Discovery and Data Mining, 2021 The main challenge of adapting Graph convolutional networks (GCNs) to large-scale graphs is the scalability issue due to the uncontrollable neighborhood expansion in the aggregation stage.
Minji Yoon +5 more
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Frontiers in Earth Science, 2022 The ultra-deep fault-karst structure discovered in the Tarim Basin in Western China is a fractured-vuggy carbonate reservoir with great potential for development.
Liang Chen +3 more
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An Adaptive Sampling Strategy for Online Monitoring and Diagnosis of High-Dimensional Streaming Data
Technometrics, 2021 Statistical process control techniques have been widely used for online process monitoring and diagnosis of streaming data in various applications, including manufacturing, healthcare, and environmental engineering.
Ana María Estrada Gómez +2 more
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