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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Nanopore adaptive sampling effectively enriches bacterial plasmids [PDF]
mSystems, 2023 Bacterial plasmids play a major role in the spread of antibiotic resistance genes. However, their characterization via DNA sequencing suffers from the low abundance of plasmid DNA in those samples.
Jens-Uwe Ulrich +6 more
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Adaptive sampling by information maximization [PDF]
Physical Review Letters, 2001 The investigation of input-output systems often requires a sophisticated choice of test inputs to make best use of limited experimental time. Here we present an iterative algorithm that continuously adjusts an ensemble of test inputs online, subject to ...
Machens, Christian K.
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Computer-Vision-Oriented Adaptive Sampling in Compressive Sensing [PDF]
SensorsCompressive sensing (CS) is recognized for its adeptness at compressing signals, making it a pivotal technology in the context of sensor data acquisition.
Luyang Liu +4 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.
Xirui Liu +3 more
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Adaptive Threshold Sampling and Estimation
Proceedings of the 2022 International Conference on Management of Data, 2017 Sampling is a fundamental problem in both computer science and statistics. A number of issues arise when designing a method based on sampling. These include statistical considerations such as constructing a good sampling design and ensuring there are ...
Ting, Daniel
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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]
Clinical and Translational MedicineBackground 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 ...
Sandy Chevrier +4 more
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Selective whole-genome sequencing of Plasmodium parasites directly from blood samples by nanopore adaptive sampling [PDF]
mBioWhole-genome sequencing of Plasmodium is becoming an increasingly important tool for genomic surveillance of malaria. Due to the predominance of human DNA in a patient blood sample, time-consuming laboratory procedures are required to deplete human DNA ...
Katlijn De Meulenaere +6 more
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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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