Suchergebnisse - Prior database algorithm
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A Universal Dynamic Threshold Cloud Detection Algorithm (UDTCDA) supported by a prior surface reflectance database
ISSN: 2169-897X, 2169-8996Veröffentlicht: Washington Blackwell Publishing Ltd 27.06.2016Veröffentlicht in Journal of geophysical research. Atmospheres (27.06.2016)“… To minimize these problems, a new Universal Dynamic Threshold Cloud Detection Algorithm (UDTCDA) supported by a priori surface reflectance database is proposed in this paper …”
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A NEW CLOUD SHADOW DETECTION ALGORITHM BASED ON PRIOR LAND TYPE DATABASE SUPPORT
ISSN: 2194-9034, 1682-1750, 2194-9034Veröffentlicht: Gottingen Copernicus GmbH 21.08.2020Veröffentlicht in International archives of the photogrammetry, remote sensing and spatial information sciences. (21.08.2020)“… Cloud shadow detection is one of the basic step for remote sensing image processing. The threshold method is commonly used currently because of its easy …”
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MODIS Aerosol Optical Thickness Product Algorithm Verification and Analysis
ISSN: 1680-8584, 2071-1409Veröffentlicht: Cham Springer International Publishing 01.11.2021Veröffentlicht in Aerosol and air quality research (01.11.2021)“… A Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol optical thickness inversion algorithm has been rapidly developed in recent years, forming various representative aerosol optical thickness remote sensing products …”
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Comparison and Evaluation of Different MODIS Aerosol Optical Depth Products Over the Beijing-Tianjin-Hebei Region in China
ISSN: 1939-1404, 2151-1535Veröffentlicht: Piscataway IEEE 01.03.2017Veröffentlicht in IEEE journal of selected topics in applied earth observations and remote sensing (01.03.2017)“… A new high-resolution <;1000 m> aerosol retrieval algorithm with a priori LSR database support (HARLS) is proposed …”
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Set-Based Adaptive Distributed Differential Evolution for Anonymity-Driven Database Fragmentation
ISSN: 2364-1185, 2364-1541Veröffentlicht: Singapore Springer Singapore 01.12.2021Veröffentlicht in Data Science and Engineering (01.12.2021)“… Database fragmentation algorithms need prior knowledge of sensitive associations in the tackled database and set it as the optimization objective …”
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Space-Efficient TCAM-Based Classification Using Gray Coding
ISSN: 0018-9340, 1557-9956Veröffentlicht: New York IEEE 01.01.2012Veröffentlicht in IEEE transactions on computers (01.01.2012)“… A TCAM range-encoding algorithm A is database-independent if, for all ranges r, it encodes r independently of the database in which it …”
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Colander: a probability-based support vector machine algorithm for automatic screening for CID spectra of phosphopeptides prior to database search
ISSN: 1535-3893Veröffentlicht: United States 01.08.2008Veröffentlicht in Journal of proteome research (01.08.2008)“… We developed a probability-based machine-learning program, Colander, to identify tandem mass spectra that are highly likely to represent phosphopeptides prior to database search …”
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pClean: An Algorithm To Preprocess High-Resolution Tandem Mass Spectra for Database Searching
ISSN: 1535-3907, 1535-3907Veröffentlicht: United States 06.09.2019Veröffentlicht in Journal of proteome research (06.09.2019)“… of the peptide/protein identification rate. A fundamental issue is that some noise MS signals, informative or uninformative, have to be filtered out prior to database searching …”
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Hidden Markov model speed heuristic and iterative HMM search procedure
ISSN: 1471-2105, 1471-2105Veröffentlicht: London BioMed Central 18.08.2010Veröffentlicht in BMC bioinformatics (18.08.2010)“… s. Results We have designed a series of database filtering steps, HMMERHEAD, that are applied prior to the scoring algorithms, as implemented in the HMMER package, in an effort to reduce search time …”
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Acute myocardial infarction: Development and application of an ICD-10-CM-based algorithm to a large U.S. healthcare claims-based database
ISSN: 1932-6203, 1932-6203Veröffentlicht: San Francisco Public Library of Science 01.07.2021Veröffentlicht in PloS one (01.07.2021)“… administrative claims database to identify and characterize AMI populations. Methods A comprehensive literature review was conducted to identify …”
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A Fast and Low-Impact Embedded Orientation Correction Algorithm for Hand Gesture Recognition Armbands
ISSN: 1424-8220, 1424-8220Veröffentlicht: Switzerland MDPI AG 30.03.2025Veröffentlicht in Sensors (Basel, Switzerland) (30.03.2025)“… This ensures hardware and database independence and eliminates the need for model retraining, as data correction occurs prior to classification or prediction …”
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Comparison of photo‐matching algorithms commonly used for photographic capture–recapture studies
ISSN: 2045-7758, 2045-7758Veröffentlicht: England John Wiley & Sons, Inc 01.08.2017Veröffentlicht in Ecology and evolution (01.08.2017)“… Recently, several computer‐aided photo‐matching algorithms have been developed to more efficiently match images of unique individuals in databases with thousands of images …”
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Crystal structure prediction by combining graph network and optimization algorithm
ISSN: 2041-1723, 2041-1723Veröffentlicht: London Nature Publishing Group UK 21.03.2022Veröffentlicht in Nature communications (21.03.2022)“… ) is employed to establish a correlation model between the crystal structure and formation enthalpies at the given database, and an optimization algorithm (OA …”
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An experimental evaluation and analysis of database cracking
ISSN: 1066-8888, 0949-877XVeröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2016Veröffentlicht in The VLDB journal (01.02.2016)“… Database cracking has been an area of active research in recent years. The core idea of database cracking is to create indexes adaptively and incrementally as a side product of query processing …”
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Phenotype Algorithms to Identify Hidradenitis Suppurativa Using Real-World Data: Development and Validation Study
ISSN: 2562-0959, 2562-0959Veröffentlicht: Toronto JMIR Publications 30.11.2022Veröffentlicht in JMIR dermatology (30.11.2022)“… Observational databases provide opportunities to study the epidemiology of HS. Objective: This study’s objective was to develop phenotype algorithms for HS suitable for epidemiological studies based on a network of observational databases. Methods …”
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Identification and Validation of Major Cardiovascular Events in the United Kingdom Data Sources Included in a Multi-database Post-authorization Safety Study of Prucalopride
ISSN: 0114-5916, 1179-1942, 1179-1942Veröffentlicht: Cham Springer International Publishing 01.05.2021Veröffentlicht in Drug safety (01.05.2021)“… ), The Health Improvement Network (THIN), and the Information Services Division (ISD) Scotland. Methods Modified electronic algorithms from prior research identified potential MACE cases …”
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Comparison of Pharmacy Database Methods for Determining Prevalent Chronic Medication Use
ISSN: 1537-1948, 1537-1948Veröffentlicht: United States 01.10.2019Veröffentlicht in Medical care (01.10.2019)“… Pharmacy dispensing data are frequently used to identify prevalent medication use as a predictor or covariate in observational research studies. Although …”
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Computational Adaptive Optics for HAR Hybrid Trench Array Topography Measurement by Utilizing Coherence Scanning Interferometry
ISSN: 1424-8220, 1424-8220Veröffentlicht: Switzerland MDPI AG 30.06.2025Veröffentlicht in Sensors (Basel, Switzerland) (30.06.2025)“… ) algorithm without constructing a database and prior knowledge, and a phase filter in the spatial frequency domain is constructed to restore interference signals distorted …”
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Automated HIV Case Identification from the MIMIC-IV Database
ISSN: 2153-4063, 2153-4063Veröffentlicht: United States 2024Veröffentlicht in AMIA Summits on Translational Science proceedings (2024)“… However, there was no prior phenotyping algorithm to extract HIV cases from MIMIC-IV, which requires a comprehensive knowledge of the database …”
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Leveraging prior knowledge to infer gene regulatory networks from single-cell RNA-sequencing data
ISSN: 1744-4292, 1744-4292Veröffentlicht: London Nature Publishing Group UK 03.03.2025Veröffentlicht in Molecular systems biology (03.03.2025)“… We categorize common types of prior knowledge, such as experimental data and curated databases, and discuss methods for representing priors, particularly through graph structures …”
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