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104 resultados encontrados.

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An extension of the modified constitutive relation error concept for the robust multi-physics offshore wind turbine model calibration from in situ data
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An extension of the modified constitutive relation error concept for the robust multi-physics offshore wind turbine model calibration from in situ data
Antoine Roussel et al · SpringerOpen · 2026 · ISSN 2213-7467
Abstract In order to address health monitoring issues on offshore wind turbines, while taking into account engineering know-how and constraints, we propose a robust model identification procedure based on reliability of ...
LCC TENDOk1lY2hhbmljcyBvZiBlbmdpbmVlcmluZy4gQXBwbGllZCBtZWNoYW5pY3M~; TENDOlN5c3RlbXMgZW5naW5lZXJpbmc~Idioma eng
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Impact of floater flexibility on tower eigenfrequencies of a spar-type floating offshore wind turbine: measurement-based assessment and model calibration
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Impact of floater flexibility on tower eigenfrequencies of a spar-type floating offshore wind turbine: measurement-based assessment and model calibration
C. Aguilera et al · Copernicus Publications · 2026 · ISSN 2366-7443
Designing floating wind turbine systems requires integrated load assessments (ILA) using fully coupled hydro-servo-aero-elastic models. In most cases, floater hydrodynamics are represented using potential-flow models for...
LCC TENDOlJlbmV3YWJsZSBlbmVyZ3kgc291cmNlcw~~Idioma eng
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Calibration of TLM Model for Semiconductor Optical Amplifier by Heuristic Parameters' Extraction
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Calibration of TLM Model for Semiconductor Optical Amplifier by Heuristic Parameters' Extraction
P. Rocha et al · Sociedade Brasileira de Microondas e Optoeletrônica e Sociedade Brasileira de Eletromagnetismo · ISSN 2179-1074
Abstract The systemic behavior of a Semiconductor Optical Amplifier model was optimized through extensive simulations, reaching reasonable approximation to experimental obtained from commercial devices for the optical ga...
LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma eng
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Modelling Amazonian forest eddy covariance data: a comparison of big leaf versus sun/shade models for the C-14 tower at Manaus I. Canopy photosynthesis
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Modelling Amazonian forest eddy covariance data: a comparison of big leaf versus sun/shade models for the C-14 tower at Manaus I. Canopy photosynthesis
Lina Mercado et al · Instituto Nacional de Pesquisas da Amazônia · 2006 · ISSN 0044-5967
In this study, we concentrate on modelling gross primary productivity using two simple approaches to simulate canopy photosynthesis: "big leaf" and "sun/shade" models. Two approaches for calibration are used: scaling up ...
LCC LCC:Science (General)Idioma eng
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Model-independent Reconstruction of Low-redshift Dark Energy Dynamics
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Model-independent Reconstruction of Low-redshift Dark Energy Dynamics
Qile Zhang et al · IOP Publishing · 2026 · ISSN 1538-4357
We reconstruct the late-time expansion history of the Universe in a fully model-independent manner. By combining observations from cosmic chronometers (CCs), the Dark Energy Spectroscopic Instrument (DESI) baryon acousti...
LCC TENDOkFzdHJvcGh5c2ljcw~~Idioma eng
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Modeling and validation in Parkinson’s disease patients with frailty
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Modeling and validation in Parkinson’s disease patients with frailty
Guoyang Li et al · Frontiers Media S.A · 2025 · ISSN 1662-453X
IntroductionParkinson’s disease (PD) is the second most common neurodegenerative disorder. The risk of frailty is significantly higher in patients with PD than in age-matched individuals without PD. This study aimed to...
LCC LCC:Neurosciences. Biological psychiatry. NeuropsychiatryIdioma eng
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An Integrated Experimental-Simulation Calibration Method for the Constitutive Model of 6005A-T6 Aluminum Alloy Welds
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An Integrated Experimental-Simulation Calibration Method for the Constitutive Model of 6005A-T6 Aluminum Alloy Welds
Yu Zhu et al · KeAi Communications Co., Ltd · 2025 · ISSN 2192-8258
Abstract Due to the different microstructures caused by the heat source effect, welding joints exhibit significant differences in mechanical properties compared to the base material. Precise characterization of the const...
LCC LCC:Ocean engineering; TENDOk1lY2hhbmljYWwgZW5naW5lZXJpbmcgYW5kIG1hY2hpbmVyeQ~~Idioma eng
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Efficient reporting delay calibration in spatial metapopulation models for reconstructing cross-regional epidemic dynamics
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Efficient reporting delay calibration in spatial metapopulation models for reconstructing cross-regional epidemic dynamics
Huichun Li et al · Elsevier · 2026 · ISSN 2590-0536
Reconstructing the early spatiotemporal dynamics of emerging infectious diseases (EIDs) is essential for effective public health response but remains difficult due to reporting delays, heterogeneous surveillance systems,...
LCC TENDOkluZmVjdGlvdXMgYW5kIHBhcmFzaXRpYyBkaXNlYXNlcw~~; LCC:Public aspects of medicineIdioma eng
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Evaluating machine learning model performance in a two-step colocation process for TVOC and BTEX sensor calibration
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Evaluating machine learning model performance in a two-step colocation process for TVOC and BTEX sensor calibration
C. Frischmon et al · Copernicus Publications · 2026 · ISSN 1867-1381
Calibration of low-cost air quality sensors (LCSs) for total volatile organic compound (TVOC) and benzene, toluene, ethylbenzene, and xylenes (BTEX) quantification remains challenging due to the sensors' cross-sensitivit...
LCC TENDOkVudmlyb25tZW50YWwgZW5naW5lZXJpbmc~; TENDOkVhcnRod29yay4gRm91bmRhdGlvbnM~Idioma eng
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Second-order advantage achieved by modeling excitation-emission fluorescence matrices affected by inner filter effects using a strategy which combines standardization and calibration: Reducing experimental and increasing analytical sensitivity
Artículo
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Second-order advantage achieved by modeling excitation-emission fluorescence matrices affected by inner filter effects using a strategy which combines standardization and calibration: Reducing experimental and increasing analytical sensitivity
Schenone, Agustina Violeta et al · Elsevier · 2013 · ISSN 0039-9140
A methodology based on second-order data (excitation-emission matrices) modeling with one of most popular algorithms presenting the second-order advantage, parallel factor analysis (PARAFAC), combined with transference o...
Idioma eng
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Optimasi Model Natural Rural Electrical Cooperation Agency Untuk Memprediksi Debit Aliran Bulanan di Sub DAS Lesti
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Optimasi Model Natural Rural Electrical Cooperation Agency Untuk Memprediksi Debit Aliran Bulanan di Sub DAS Lesti
Ery Suhartanto et al · Lembaga Penelitian dan Pengabdian kepada Masyarakat · 2025 · ISSN 0216-9495
Climate change and land use change in the Lesti Sub-DAS increase the risk of flooding and land degradation, requiring reliable flow predictions to support water resource management. However, the performance of the NRECA ...
LCC TENDOlRlY2hub2xvZ3k~Idioma eng
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The Eurasian and North American ice sheets at the Last and Penultimate glacial maxima: coupled atmosphere–ice sheet model sensitivity and calibration
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The Eurasian and North American ice sheets at the Last and Penultimate glacial maxima: coupled atmosphere–ice sheet model sensitivity and calibration
V. L. Patterson et al · Copernicus Publications · 2026 · ISSN 1994-0416
The configuration of the Northern Hemisphere ice sheets during the Last and Penultimate Glacial Maxima (LGM; PGM) influenced millennial-scale climate changes, as well as solid Earth and sea level changes that occurred du...
LCC TENDOkVudmlyb25tZW50YWwgc2NpZW5jZXM~; TENDOkdlb2xvZ3k~Idioma eng
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Fleet data based traffic modeling
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Fleet data based traffic modeling
Tamás Tettamanti et al · Tsinghua University Press · 2024 · ISSN 2772-4247
Although the available traffic data from navigation systems have increased steadily in recent years, it only reflects average travel time and possibly Origin-Destination information as samples, exclusively. However, the ...
LCC LCC:Transportation engineeringIdioma eng
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A bootstrap-assisted methodology for the estimation of prediction uncertainty in multilayer perceptron-based calibration
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A bootstrap-assisted methodology for the estimation of prediction uncertainty in multilayer perceptron-based calibration
Chiappini, Fabricio Alejandro et al · Elsevier Science · 2025 · ISSN 0003-2670
Background: In calibration, analytical figures of merit (AFOMs) are statistical parameters of great importance for method validation. In recent decades, relevant contributions have been made to estimate AFOMs in many cal...
Idioma eng
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A clinically interpretable machine learning model for early detection of diabetic retinopathy in multiple community health centers
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A clinically interpretable machine learning model for early detection of diabetic retinopathy in multiple community health centers
Juncheng Tong et al · Frontiers Media S.A · 2026 · ISSN 1664-2392
BackgroundEarly detection of diabetic retinopathy (DR) remains challenging in primary care, where access to ophthalmic screening is limited. We developed and validated a prediction model using routinely collected health ...
LCC LCC:Diseases of the endocrine glands. Clinical endocrinologyIdioma eng
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A predictive model and nomogram for coronary artery injury in Kawasaki disease based on laboratory indicators: a retrospective study
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A predictive model and nomogram for coronary artery injury in Kawasaki disease based on laboratory indicators: a retrospective study
Yanyan Li et al · Frontiers Media S.A · 2026 · ISSN 2296-2360
BackgroundTo explore the changes in various laboratory parameters in children with Kawasaki disease, analyze their correlations with complete and incomplete Kawasaki disease as well as coronary artery lesions and non-cor...
LCC TENDOlBlZGlhdHJpY3M~Idioma eng
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An interpretable machine learning model based on habitat radiomics combined with deep learning for predicting the WHO/ISUP grade of patients with clear cell renal cell carcinoma
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An interpretable machine learning model based on habitat radiomics combined with deep learning for predicting the WHO/ISUP grade of patients with clear cell renal cell carcinoma
Xiang Tao et al · BMC · 2026 · ISSN 1471-2342
Abstract Background This study aims to explore spatial heterogeneity within tumors, establish and validate an interpretable machine learning model combining habitat radiomics and deep learning, and investigate its predic...
LCC TENDOk1lZGljYWwgdGVjaG5vbG9neQ~~Idioma eng
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COMPARISON OF MODEL-BASED FOREST STAND BIOMASS ESTIMATION: THE CASE OF SPRUCE PHYTOCOENOSES IN THE MURMANSK REGION
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COMPARISON OF MODEL-BASED FOREST STAND BIOMASS ESTIMATION: THE CASE OF SPRUCE PHYTOCOENOSES IN THE MURMANSK REGION
N. S. Ryabov et al · Russian Academy of Sciences, Center for Forest Ecology and Productivity · 2026 · ISSN 2658-607X
This study presents a comparative analysis of the effectiveness of various regression models for estimating forest stand phytomass stocks in spruce forests developed on Al-Fe-humic podzols at the northern tree line in th...
LCC LCC:ForestryIdioma eng
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Cross-subject EEG Decoding with spatiotemporal transformers for zero-calibration brain–computer interfaces
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Cross-subject EEG Decoding with spatiotemporal transformers for zero-calibration brain–computer interfaces
Xiaolin Jiang et al · Elsevier · 2026 · ISSN 1110-0168
Brain–computer interfaces (BCIs) based on motor imagery (MI) provide a transformative direct communication pathway for patients with severe motor disabilities. However, the high inter-subject variability and non-statio...
LCC LCC:Engineering (General). Civil engineering (General)Idioma eng
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Development and Internal Validation of a Prognostic Model for Delayed Ambulation Recovery After Major Abdominal Surgery in Northwest Ethiopia. A Prospective Multicenter Study
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Development and Internal Validation of a Prognostic Model for Delayed Ambulation Recovery After Major Abdominal Surgery in Northwest Ethiopia. A Prospective Multicenter Study
Mulualem Endeshaw Zeleke et al · Springer · 2026 · ISSN 2210-6014
Abstract Background Delayed ambulation recovery following major abdominal surgery presents a significant prognostic challenge, contributes to increased morbidity, mortality, and prolonged hospital stay. Despite recommend...
LCC LCC:Public aspects of medicineIdioma eng
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Development and internal validation of a machine learning model for predicting intracranial infection after spontaneous intracerebral hemorrhage: a two-center retrospective study
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Development and internal validation of a machine learning model for predicting intracranial infection after spontaneous intracerebral hemorrhage: a two-center retrospective study
Yizhao Lin et al · Frontiers Media S.A · 2026 · ISSN 1664-2295
BackgroundIntracranial infection (ICI) is a serious complication following spontaneous intracerebral hemorrhage (ICH) and is associated with prolonged intensive care, increased morbidity, and poor functional outcomes. Ea...
LCC LCC:Neurology. Diseases of the nervous systemIdioma eng
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Development and validation of a 28-day mortality risk prediction model for patients with AIDS suffering from sepsis secondary to pulmonary infections in the ICU
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Development and validation of a 28-day mortality risk prediction model for patients with AIDS suffering from sepsis secondary to pulmonary infections in the ICU
Qihui Ran et al · BMC · 2026 · ISSN 1471-2334
Abstract Background Patients with AIDS Suffering from sepsis secondary to pulmonary infections admitted to intensive care units (ICUs) carry a high burden of morbidity and mortality. Therefore, rapid identification and t...
LCC TENDOkluZmVjdGlvdXMgYW5kIHBhcmFzaXRpYyBkaXNlYXNlcw~~Idioma eng
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Development and validation of a clinical prediction model for neonatal seizures among neonates admitted to public health hospitals in Northwest Ethiopia: retrospective follow-up study
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Development and validation of a clinical prediction model for neonatal seizures among neonates admitted to public health hospitals in Northwest Ethiopia: retrospective follow-up study
Tilahun Degu Tsega et al · BMC · 2026 · ISSN 1824-7288
Abstract Background Neonatal seizures are sudden, abnormal brain activities that occur during the neonatal period, are the most common neurological emergencies in newborns, and are associated with high morbidity and mort...
LCC TENDOlBlZGlhdHJpY3M~Idioma eng
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Development and validation of a risk prediction model for in-hospital mortality among patients with acute myocardial infarction complicated by ventricular arrhythmia
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Development and validation of a risk prediction model for in-hospital mortality among patients with acute myocardial infarction complicated by ventricular arrhythmia
Jiao-yu Cao et al · BMC · 2026 · ISSN 1471-2261
Abstract Background With the widespread adoption of percutaneous coronary intervention (PCI), patients experiencing acute myocardial infarction (AMI) complicated by ventricular arrhythmia (VA) continue to encounter a sig...
LCC TENDOkRpc2Vhc2VzIG9mIHRoZSBjaXJjdWxhdG9yeSAoQ2FyZGlvdmFzY3VsYXIpIHN5c3RlbQ~~Idioma eng
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