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Refinado por: Nome da Publicação: Applied Sciences remover data de publicação: 2017Até2019 remover
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Opportunities for Industry 4.0 to Support Remanufacturing
Opportunities for Industry 4.0 to Support Remanufacturing
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Opportunities for Industry 4.0 to Support Remanufacturing

Yang, Shanshan ; M. R., Aravind ; Kaminski, Jacek ; Pepin, Helene

Applied sciences, 2018-07, Vol.8 (7), p.1177 [Periódico revisado por pares]

Basel: MDPI AG

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2
Swarm Intelligence Algorithms for Feature Selection: A Review
Swarm Intelligence Algorithms for Feature Selection: A Review
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Swarm Intelligence Algorithms for Feature Selection: A Review

Brezočnik, Lucija ; Fister, Iztok ; Podgorelec, Vili

Applied sciences, 2018-09, Vol.8 (9), p.1521 [Periódico revisado por pares]

Basel: MDPI AG

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3
Recognition of Acoustic Signals of Commutator Motors
Recognition of Acoustic Signals of Commutator Motors
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Recognition of Acoustic Signals of Commutator Motors

Glowacz, Adam

Applied sciences, 2018-12, Vol.8 (12), p.2630 [Periódico revisado por pares]

Basel: MDPI AG

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4
Introduction of Building Information Modeling in Industrial Engineering Education: Students’ Perception
Introduction of Building Information Modeling in Industrial Engineering Education: Students’ Perception
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Introduction of Building Information Modeling in Industrial Engineering Education: Students’ Perception

Sánchez, Alberto ; Gonzalez-Gaya, Cristina ; Zulueta, Patricia ; Sampaio, Zita

Applied sciences, 2019-08, Vol.9 (16), p.3287 [Periódico revisado por pares]

Basel: MDPI AG

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5
Model-Based Requirements Management in Gear Systems Design Based On Graph-Based Design Languages
Model-Based Requirements Management in Gear Systems Design Based On Graph-Based Design Languages
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Model-Based Requirements Management in Gear Systems Design Based On Graph-Based Design Languages

Holder, Kevin ; Zech, Andreas ; Ramsaier, Manuel ; Stetter, Ralf ; Niedermeier, Hans-Peter ; Rudolph, Stephan ; Till, Markus

Applied sciences, 2017-10, Vol.7 (11), p.1112 [Periódico revisado por pares]

Basel: MDPI AG

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6
From Point Clouds to Building Information Models: 3D Semi-Automatic Reconstruction of Indoors of Existing Buildings
From Point Clouds to Building Information Models: 3D Semi-Automatic Reconstruction of Indoors of Existing Buildings
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From Point Clouds to Building Information Models: 3D Semi-Automatic Reconstruction of Indoors of Existing Buildings

Macher, Hélène ; Landes, Tania ; Grussenmeyer, Pierre

Applied sciences, 2017-10, Vol.7 (10), p.1030 [Periódico revisado por pares]

Basel: MDPI AG

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7
Invasive Weed Optimization Technique-Based ANN to the Prediction of Rock Tensile Strength
Invasive Weed Optimization Technique-Based ANN to the Prediction of Rock Tensile Strength
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Invasive Weed Optimization Technique-Based ANN to the Prediction of Rock Tensile Strength

Huang, Lei ; Asteris, Panagiotis G. ; Koopialipoor, Mohammadreza ; Armaghani, Danial Jahed ; Tahir, M. M.

Applied sciences, 2019-12, Vol.9 (24), p.5372 [Periódico revisado por pares]

Basel: MDPI AG

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8
Meaningful Learning Through Virtual Reality Learning Environments: A Case Study in Materials Engineering
Meaningful Learning Through Virtual Reality Learning Environments: A Case Study in Materials Engineering
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Meaningful Learning Through Virtual Reality Learning Environments: A Case Study in Materials Engineering

Vergara, Diego ; Extremera, Jamil ; Rubio, Manuel Pablo ; Dávila, Lílian P.

Applied sciences, 2019-11, Vol.9 (21), p.4625 [Periódico revisado por pares]

Basel: MDPI AG

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9
Review on the Electrical Resistance/Conductivity of Carbon Fiber Reinforced Polymer
Review on the Electrical Resistance/Conductivity of Carbon Fiber Reinforced Polymer
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Review on the Electrical Resistance/Conductivity of Carbon Fiber Reinforced Polymer

Zhao, Qian ; Zhang, Kai ; Zhu, Shuang ; Xu, Hanyang ; Cao, Dianguo ; Zhao, Lina ; Zhang, Ronghua ; Yin, Wuliang

Applied sciences, 2019-06, Vol.9 (11), p.2390 [Periódico revisado por pares]

Basel: MDPI AG

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10
Prediction of Compressive Strength of Geopolymer Concrete Using Entirely Steel Slag Aggregates: Novel Hybrid Artificial Intelligence Approaches
Prediction of Compressive Strength of Geopolymer Concrete Using Entirely Steel Slag Aggregates: Novel Hybrid Artificial Intelligence Approaches
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Prediction of Compressive Strength of Geopolymer Concrete Using Entirely Steel Slag Aggregates: Novel Hybrid Artificial Intelligence Approaches

Dao, Dong ; Trinh, Son ; Ly, Hai-Bang ; Pham, Binh

Applied sciences, 2019-03, Vol.9 (6), p.1113 [Periódico revisado por pares]

Basel: MDPI AG

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