Space-Fluid Adaptive Sampling by Self-Organisation [PDF]
Logical Methods in Computer Science, 2023 A recurrent task in coordinated systems is managing (estimating, predicting, or controlling) signals that vary in space, such as distributed sensed data or computation outcomes.
Roberto Casadei +4 more
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Power-Ground Plane Impedance Modeling Using Deep Neural Networks and an Adaptive Sampling Process [PDF]
International Journal of Electronics and Telecommunications, 2022 This paper proposes a deep neural network (DNN) based method for the purpose of power-ground plane impedance modeling. A composite DNN model, which is a combination of two DNNs is used to predict the Z-parameters of power ground planes from their design ...
Chan Hong Goay +4 more
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Computer-Vision-Oriented Adaptive Sampling in Compressive Sensing. [PDF]
Sensors (Basel)Compressive sensing (CS) is recognized for its adeptness at compressing signals, making it a pivotal technology in the context of sensor data acquisition.
Liu L +4 more
europepmc +2 more sources
The Adaptive sampling revisited [PDF]
Discrete Mathematics & Theoretical Computer Science, 2019 The problem of estimating the number n of distinct keys of a large collection of N data is well known in computer science. A classical algorithm is the adaptive sampling (AS).
Matthew Drescher +2 more
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Application and comparison of several adaptive sampling algorithms in reduced order modeling. [PDF]
HeliyonModel Order Reduction (MOR) techniques have extensive applications across scientific and engineering disciplines, such as neutron field reconstruction of nuclear reactor cores, thermoelastic field reconstruction, fluid, and solid mechanics.
Liu X, Wang Z, Ji H, Gong H.
europepmc +2 more sources
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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Nanopore adaptive sampling accurately detects nucleotide variants and improves the characterization of large-scale rearrangement for the diagnosis of cancer predisposition. [PDF]
Clin Transl MedBackground Molecular diagnosis has become highly significant for patient management in oncology. Methods Here, 30 well‐characterized clinical germline samples were studied with adaptive sampling to enrich the full sequence of 152 cancer predisposition ...
Chevrier S +4 more
europepmc +2 more sources
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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