Results 261 to 270 of about 914,102 (311)

Enhancement of hidden Markov model analyses for improved inference of archaic introgression in modern humans. [PDF]

Mol Biol Evol
Coll Macià M, Skov L, Bæk ZED, Hobolth A.   +3 more
europepmc   +1 more source

Aerosol-Generating Potential of Topical Nasal Preparation Before Nasoendoscopy: A Quantitative Study. [PDF]

Laryngoscope Investig Otolaryngol
Chua AJ, Yu Y, Zhang EZ, Tan VY, Luhung I, Schuster SC, Sng A, Sadovoy AV.   +7 more
europepmc   +1 more source

Generative Autoencoders Coupled to Monte Carlo Simulation Allow Efficient Protein Conformation Sampling. [PDF]

J Chem Theory Comput
Beránek J, Tedeschi G, Spiwok V.
europepmc   +1 more source

Associated Factors for Non-Diagnostic Cytopathology in the Endobronchial Ultrasound-Transbronchial Needle Aspiration: A Retrospective Cohort Study. [PDF]

Diagnostics (Basel)
Ozden Sertcelik U, Parlak ES, Hezer H, Ceylan EG, Sertcelik A, Karalezli A.   +5 more
europepmc   +1 more source

Linkage-aware inference of fitness from short-read time-series genomic data. [PDF]

Virus Evol
Abdullah SMU, Sohail MS, Louie RHY, Sun Y, Barton JP, McKay MR.   +5 more
europepmc   +1 more source

A Century of Shifting Native Species-Accumulation Curves Reveals Long-Term Biodiversity Loss. [PDF]

Ecol Lett
Pan K, Marshall L, Biesmeijer JC, de Snoo GR.   +3 more
europepmc   +1 more source

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Sampling and sampled-data models

Proceedings of the 2010 American Control Conference, 2010
Physical systems typically evolve continuously whereas modern controllers and signal processing devices invariably operate in discrete time. Hence sampling arises as a cornerstone problem in essentially all aspects of modern systems science. This paper reviews various aspects of sampling of signals and systems.
Graham C. Goodwin, Juan I. Yuz, Juan C. Agüero, Mauricio Esteban Cea Garrido   +3 more
openaire   +1 more source

On sampling regional data

Data & Knowledge Engineering, 1997
Summary: The region quadtree is a very popular hierarchical data structure for the representation of binary images (regional data) and it is heavily used at the physical level of many spatial databases. Random sampling algorithms obtain approximate answers of aggregate queries on these databases efficiently.
Michael Vassilakopoulos, Yannis Manolopoulos   +1 more
openaire   +2 more sources

Sampling for big data

Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining, 2014
One response to the proliferation of large datasets has been to develop ingenious ways to throw resources at the problem, using massive fault tolerant storage architectures, parallel and graphical computation models such as MapReduce, Pregel and Giraph. However, not all environments can support this scale of resources, and not all queries need an exact
Graham Cormode, Nick G. Duffield
openaire   +1 more source

Invariance of sampled-data and adaptive sampled-data systems

IFAC Proceedings Volumes, 1963
Summary In the report it is shown that the invariance conditions can be used successfully in usual continuous control systems and also in sampled- data control systems. This is especially important in adaptive impulse systems. In the first section of the report fundamentals of invariance theory of combined sampled-data systems are considered.
V.M. Kuntsevich, Yu. V. Krementulo
openaire   +1 more source