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Deep convolutional multi-informative metric correlation analysis with bottleneck attention module for face recognition in the wild
Deep convolutional multi-informative metric correlation analysis with bottleneck attention module for face recognition in the wild
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Deep convolutional multi-informative metric correlation analysis with bottleneck attention module for face recognition in the wild

Amrani, Moussa

Multimedia tools and applications, 2024-02, Vol.83 (22), p.62459-62487 [Periódico revisado por pares]

New York: Springer US

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2
Speedup in Parallel Rendering System with Computational Best-effort Scheme
Speedup in Parallel Rendering System with Computational Best-effort Scheme
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Speedup in Parallel Rendering System with Computational Best-effort Scheme

Perez-Monte, Cristian Federico ; Farias, Fernando ; Rizzi, Silvio ; Luciano, Cristian ; Piccoli, Maria Fabiana

Revista IEEE América Latina, 2018-03, Vol.16 (3), p.987-995

Los Alamitos: IEEE

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3
Kernel canonical correlation analysis for specific radar emitter identification
Kernel canonical correlation analysis for specific radar emitter identification
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Kernel canonical correlation analysis for specific radar emitter identification

Shi, Ya ; Ji, Hongbing

Electronics letters, 2014-08, Vol.50 (18), p.1318-1320 [Periódico revisado por pares]

Stevenage: The Institution of Engineering and Technology

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4
Smart controller design of air to fuel ratio (AFR) and brake control system on gasoline engine
Smart controller design of air to fuel ratio (AFR) and brake control system on gasoline engine
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Smart controller design of air to fuel ratio (AFR) and brake control system on gasoline engine

Triwiyatno, Aris ; Sinuraya, Enda Wista ; Setiawan, Joga Dharma ; Munahar, Suroto

2015 2nd International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE), 2015, p.233-238

IEEE

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5
Control Oriented Dynamic Modeling of a Turbocharged Diesel Engine
Control Oriented Dynamic Modeling of a Turbocharged Diesel Engine
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Control Oriented Dynamic Modeling of a Turbocharged Diesel Engine

Wang Haiyan

Sixth International Conference on Intelligent Systems Design and Applications, 2006, Vol.2, p.142-145

IEEE

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6
Adaptive recognition of machining features in sheet metal parts based on a graph class-incremental learning strategy
Adaptive recognition of machining features in sheet metal parts based on a graph class-incremental learning strategy
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Adaptive recognition of machining features in sheet metal parts based on a graph class-incremental learning strategy

Ma, Liuhuan ; Yang, Jiong

Scientific reports, 2024-05, Vol.14 (1), p.10656-10656, Article 10656 [Periódico revisado por pares]

England: Nature Publishing Group

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7
Linear dynamic parameter-varying sliding manifold for air–fuel ratio control in lean-burn engines
Linear dynamic parameter-varying sliding manifold for air–fuel ratio control in lean-burn engines
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Linear dynamic parameter-varying sliding manifold for air–fuel ratio control in lean-burn engines

Tafreshi, Reza ; Ebrahimi, Behrouz ; Mohammadpour, Javad ; Franchek, Matthew A ; Grigoriadis, Karolos ; Masudi, Houshang

IET control theory & applications, 2013-07, Vol.7 (10), p.1319-1329 [Periódico revisado por pares]

Stevenage: The Institution of Engineering and Technology

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8
Atrial fibrillatory rate as predictor of recurrence of atrial fibrillation in horses treated medically or with electrical cardioversion
Atrial fibrillatory rate as predictor of recurrence of atrial fibrillation in horses treated medically or with electrical cardioversion
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Atrial fibrillatory rate as predictor of recurrence of atrial fibrillation in horses treated medically or with electrical cardioversion

Buhl, Rikke ; Hesselkilde, Eva M. ; Carstensen, Helena ; Hopster‐Iversen, Charlotte ; Loon, Gunther ; Decloedt, Annelies ; Van Steenkiste, Glenn ; Marr, Celia M. ; Reef, Virginia B. ; Schwarzwald, Colin C. ; Mitchell, Katharyn J. ; Nostell, Katarina ; Nogradi, Nora ; Nielsen, Søren S. ; Carlson, Jonas ; Platonov, Pyotr G.

Equine veterinary journal, 2022-11, Vol.54 (6), p.1013-1022 [Periódico revisado por pares]

United States: Wiley Subscription Services, Inc

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9
Developing a rule engine for Automated Feature Recognition from CAD models
Developing a rule engine for Automated Feature Recognition from CAD models
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Developing a rule engine for Automated Feature Recognition from CAD models

Hao Lan Zhang ; Van der Velden, C. ; Xinghuo Yu ; Bil, C. ; Jones, T. ; Fieldhouse, I.

2009 35th Annual Conference of IEEE Industrial Electronics, 2009, p.3925-3930

IEEE

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