Articles with "identification model" as a keyword



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Development of a systematic procedure to establish customized shading behavior identification model

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Published in 2021 at "Energy and Buildings"

DOI: 10.1016/j.enbuild.2021.110793

Abstract: Abstract Occupant behavior is becoming a major factor impacting indoor environments and building operations. Individual differences in indoor environment preferences impact the implementation of occupant-centric building operations. Previous studies regarding occupant behavior have focused on… read more here.

Keywords: behavior identification; shading behavior; identification model; csbim ... See more keywords
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Blades icing identification model of wind turbines based on SCADA data

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Published in 2020 at "Renewable Energy"

DOI: 10.1016/j.renene.2020.07.049

Abstract: Abstract Blades icing would reduce the aerodynamic performance, cause power generation loss of WTGs, and even affect the safety of production and operation. By analyzing the relationship between blades icing and Supervisory Control And Data… read more here.

Keywords: scada data; identification model; icing identification; blades icing ... See more keywords
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Smooth controller design for non-linear systems using multiple fixed models

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Published in 2017 at "Iet Control Theory and Applications"

DOI: 10.1049/iet-cta.2016.1295

Abstract: Multiple model adaptive control (MMAC) with second-level adaptation is a recently proposed methodology for dealing with systems where the parametric uncertainty is large. Compared with the multiple model switching scheme, the new scheme can lead… read more here.

Keywords: identification model; non linear; model; model set ... See more keywords
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Accident responsibility identification model forĀ Internet of Vehicles based on lightweight blockchain

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Published in 2022 at "Computational Intelligence"

DOI: 10.1111/coin.12529

Abstract: The rapid development of autonomous vehicle technology has brought a new experience to people's daily travel. However, if a traffic accident involving autonomous vehicles occurs, it will face difficulties in vehicle accident forensicā€preservation, leakage of… read more here.

Keywords: responsibility identification; accident responsibility; accident; vehicle ... See more keywords
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Quantitative Morphology of Polder Landscape Based on SOM Identification Model: Case Study of Typical Polders in the South of Yangtze River

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Published in 2022 at "Computational Intelligence and Neuroscience"

DOI: 10.1155/2022/1362272

Abstract: Landscape morphology is a significant area of landscape architecture research. One of the scientific and technological issues in recent landscape morphology research is the use of quantitative analysis technology driven by morphology indexes and computational… read more here.

Keywords: polder landscape; morphology; landscape morphology; landscape ... See more keywords
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Parameter identification for a model for multi-functional materials with hysteresis and thermodynamic compatibility

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Published in 2023 at "Journal of Intelligent Material Systems and Structures"

DOI: 10.1177/1045389x231167068

Abstract: Multifunctional materials have tremendous potential for engineering applications as they are able to convert mechanical to electromagnetic energy and vice-versa. One of the features of this class of materials is that they show significant hysteresis,… read more here.

Keywords: parameter identification; identification model; hysteresis; thermodynamic compatibility ... See more keywords
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An Enhanced TSA-MLP Model for Identifying Credit Default Problems

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Published in 2022 at "SAGE Open"

DOI: 10.1177/21582440221094586

Abstract: Credit default has always been one of the critical factors in the development of personal credit business. By establishing a default identification model, default can be avoided effectively. There are some existing methods to identify… read more here.

Keywords: default; credit; credit default; mlp ... See more keywords
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DrugFinder: Druggable Protein Identification Model Based on Pre-Trained Models and Evolutionary Information

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Published in 2023 at "Algorithms"

DOI: 10.3390/a16060263

Abstract: The identification of druggable proteins has always been the core of drug development. Traditional structure-based identification methods are time-consuming and costly. As a result, more and more researchers have shifted their attention to sequence-based methods… read more here.

Keywords: identification; model; druggable protein; pre trained ... See more keywords