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Structural Lattice Topology and Material Optimization for Battery Protection in Electric Vehicles Subjected to Ground Impact Using Artificial Neural Networks and Genetic Algorithms
Structural Lattice Topology and Material Optimization for Battery Protection in Electric Vehicles Subjected to Ground Impact Using Artificial Neural Networks and Genetic Algorithms
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Structural Lattice Topology and Material Optimization for Battery Protection in Electric Vehicles Subjected to Ground Impact Using Artificial Neural Networks and Genetic Algorithms

Nasrullah, Alvian Iqbal Hanif ; Puji Santosa, Sigit ; Widagdo, Djarot ; Arifurrahman, Faizal

Materials, 2021-12, Vol.14 (24), p.7618 [Periódico revisado por pares]

Switzerland: MDPI AG

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2
Inverse Design of Micro Phononic Beams Incorporating Size Effects via Tandem Neural Network
Inverse Design of Micro Phononic Beams Incorporating Size Effects via Tandem Neural Network
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Inverse Design of Micro Phononic Beams Incorporating Size Effects via Tandem Neural Network

Li, Jingru ; Miao, Zhongjian ; Li, Sheng ; Ma, Qingfen

Materials, 2023-02, Vol.16 (4), p.1518 [Periódico revisado por pares]

Switzerland: MDPI AG

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3
A Recurrent Neural Network-Based Method for Dynamic Load Identification of Beam Structures
A Recurrent Neural Network-Based Method for Dynamic Load Identification of Beam Structures
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A Recurrent Neural Network-Based Method for Dynamic Load Identification of Beam Structures

Yang, Hongji ; Jiang, Jinhui ; Chen, Guoping ; Mohamed, M Shadi ; Lu, Fan

Materials, 2021-12, Vol.14 (24), p.7846 [Periódico revisado por pares]

Switzerland: MDPI AG

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4
A Dynamic Analysis of Smart and Nanomaterials for New Approaches to Structural Control and Health Monitoring
A Dynamic Analysis of Smart and Nanomaterials for New Approaches to Structural Control and Health Monitoring
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A Dynamic Analysis of Smart and Nanomaterials for New Approaches to Structural Control and Health Monitoring

Altabey, Wael A ; Noori, Mohammad

Materials, 2023-05, Vol.16 (9), p.3567 [Periódico revisado por pares]

Switzerland: MDPI AG

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5
Optimized Neural Network Prediction Model of Shape Memory Alloy and Its Application for Structural Vibration Control
Optimized Neural Network Prediction Model of Shape Memory Alloy and Its Application for Structural Vibration Control
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Optimized Neural Network Prediction Model of Shape Memory Alloy and Its Application for Structural Vibration Control

Zhan, Meng ; Liu, Junsheng ; Wang, Deli ; Chen, Xiuyun ; Zhang, Lizhen ; Wang, Sheliang

Materials, 2021-11, Vol.14 (21), p.6593 [Periódico revisado por pares]

Basel: MDPI AG

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6
Prediction of Surface Roughness of Abrasive Belt Grinding of Superalloy Material Based on RLSOM-RBF
Prediction of Surface Roughness of Abrasive Belt Grinding of Superalloy Material Based on RLSOM-RBF
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Prediction of Surface Roughness of Abrasive Belt Grinding of Superalloy Material Based on RLSOM-RBF

Liu, Ying ; Song, Shayu ; Zhang, Youdong ; Li, Wei ; Xiao, Guijian

Materials, 2021-09, Vol.14 (19), p.5701 [Periódico revisado por pares]

Switzerland: MDPI AG

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7
Quasi-Static Modelling of a Full-Channel Effective Magnetorheological Damper with Trapezoidal Magnetic Rings
Quasi-Static Modelling of a Full-Channel Effective Magnetorheological Damper with Trapezoidal Magnetic Rings
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Quasi-Static Modelling of a Full-Channel Effective Magnetorheological Damper with Trapezoidal Magnetic Rings

Wu, Huan ; Hu, Yiming ; Li, Yinong ; Gu, Sanbao ; Yue, Ziyang ; Yang, Xiaoxue ; Zheng, Ling

Materials, 2023-10, Vol.16 (20), p.6820 [Periódico revisado por pares]

Basel: MDPI AG

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8
Prediction Models Based on Regression and Artificial Neural Network for Moduli of Layers Constituted by Open-Graded Aggregates
Prediction Models Based on Regression and Artificial Neural Network for Moduli of Layers Constituted by Open-Graded Aggregates
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Prediction Models Based on Regression and Artificial Neural Network for Moduli of Layers Constituted by Open-Graded Aggregates

Lee, Yunje ; Choi, Yongjin ; Ahn, Donghyun ; Ahn, Jaehun

Materials, 2021-03, Vol.14 (5), p.1199 [Periódico revisado por pares]

Switzerland: MDPI AG

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9
Deep-Learning-Based Acoustic Metamaterial Design for Attenuating Structure-Borne Noise in Auditory Frequency Bands
Deep-Learning-Based Acoustic Metamaterial Design for Attenuating Structure-Borne Noise in Auditory Frequency Bands
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Deep-Learning-Based Acoustic Metamaterial Design for Attenuating Structure-Borne Noise in Auditory Frequency Bands

Liu, Ting-Wei ; Chan, Chun-Tat ; Wu, Rih-Teng

Materials, 2023-02, Vol.16 (5), p.1879 [Periódico revisado por pares]

Switzerland: MDPI AG

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10
Industry 4.0 and Digitalisation in Healthcare
Industry 4.0 and Digitalisation in Healthcare
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Industry 4.0 and Digitalisation in Healthcare

Popov, Vladimir V ; Kudryavtseva, Elena V ; Kumar Katiyar, Nirmal ; Shishkin, Andrei ; Stepanov, Stepan I ; Goel, Saurav

Materials, 2022-03, Vol.15 (6), p.2140 [Periódico revisado por pares]

Switzerland: MDPI AG

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