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A Machine Learning-Assisted Numerical Predictor for Compressive Strength of Geopolymer Concrete Based on Experimental Data and Sensitivity Analysis
A Machine Learning-Assisted Numerical Predictor for Compressive Strength of Geopolymer Concrete Based on Experimental Data and Sensitivity Analysis
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A Machine Learning-Assisted Numerical Predictor for Compressive Strength of Geopolymer Concrete Based on Experimental Data and Sensitivity Analysis

Huynh, An Thao ; Nguyen, Quang Dang ; Xuan, Qui Lieu ; Magee, Bryan ; Chung, TaeChoong ; Tran, Kiet Tuan ; Nguyen, Khoa Tan

Applied sciences, 2020-11, Vol.10 (21), p.7726 [Periódico revisado por pares]

Basel: MDPI AG

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2
Electrical Energy Prediction in Residential Buildings for Short-Term Horizons Using Hybrid Deep Learning Strategy
Electrical Energy Prediction in Residential Buildings for Short-Term Horizons Using Hybrid Deep Learning Strategy
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Electrical Energy Prediction in Residential Buildings for Short-Term Horizons Using Hybrid Deep Learning Strategy

Khan, Zulfiqar Ahmad ; Ullah, Amin ; Ullah, Waseem ; Rho, Seungmin ; Lee, Miyoung ; Baik, Sung Wook

Applied sciences, 2020-12, Vol.10 (23), p.8634 [Periódico revisado por pares]

Basel: MDPI AG

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3
Hybrid Artificial Intelligence Approaches for Predicting Critical Buckling Load of Structural Members under Compression Considering the Influence of Initial Geometric Imperfections
Hybrid Artificial Intelligence Approaches for Predicting Critical Buckling Load of Structural Members under Compression Considering the Influence of Initial Geometric Imperfections
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Hybrid Artificial Intelligence Approaches for Predicting Critical Buckling Load of Structural Members under Compression Considering the Influence of Initial Geometric Imperfections

Ly, Hai-Bang ; Le, Lu Minh ; Duong, Huan Thanh ; Nguyen, Thong Chung ; Pham, Tuan Anh ; Le, Tien-Thinh ; Le, Vuong Minh ; Nguyen-Ngoc, Long ; Pham, Binh Thai

Applied sciences, 2019-06, Vol.9 (11), p.2258 [Periódico revisado por pares]

Basel: MDPI AG

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4
A Fast Point Clouds Registration Algorithm for Laser Scanners
A Fast Point Clouds Registration Algorithm for Laser Scanners
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A Fast Point Clouds Registration Algorithm for Laser Scanners

Xu, Guangxuan ; Pang, Yajun ; Bai, Zhenxu ; Wang, Yulei ; Lu, Zhiwei

Applied sciences, 2021-04, Vol.11 (8), p.3426 [Periódico revisado por pares]

Basel: MDPI AG

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5
Determination of Calorific Value of Mixed Coals by Analysis of Major Elements Using Data Pre-Processing in Laser-Induced Breakdown Spectroscopy
Determination of Calorific Value of Mixed Coals by Analysis of Major Elements Using Data Pre-Processing in Laser-Induced Breakdown Spectroscopy
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Determination of Calorific Value of Mixed Coals by Analysis of Major Elements Using Data Pre-Processing in Laser-Induced Breakdown Spectroscopy

Park, Jong Hyun ; Ryu, Choong Mo ; Park, Kyung Hoon ; Choi, Jung Hyun ; Moon, Seung Jae

Applied sciences, 2023-01, Vol.13 (1), p.6 [Periódico revisado por pares]

Basel: MDPI AG

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6
Application of DMLF in Pulse Ranging LiDAR System
Application of DMLF in Pulse Ranging LiDAR System
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Application of DMLF in Pulse Ranging LiDAR System

Guo, Dongbing ; Wang, Chunhui ; Qi, Baoling

Applied sciences, 2021-01, Vol.11 (3), p.1032 [Periódico revisado por pares]

Basel: MDPI AG

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7
Temporal Convolution Network Based Joint Optimization of Acoustic-to-Articulatory Inversion
Temporal Convolution Network Based Joint Optimization of Acoustic-to-Articulatory Inversion
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Temporal Convolution Network Based Joint Optimization of Acoustic-to-Articulatory Inversion

Sun, Guolun ; Huang, Zhihua ; Wang, Li ; Zhang, Pengyuan

Applied sciences, 2021-10, Vol.11 (19), p.9056 [Periódico revisado por pares]

Basel: MDPI AG

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8
Comparison of Entropy Methods for an Optimal Rain Gauge Network: A Case Study of Daegu and Gyeongbuk Area in South Korea
Comparison of Entropy Methods for an Optimal Rain Gauge Network: A Case Study of Daegu and Gyeongbuk Area in South Korea
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Comparison of Entropy Methods for an Optimal Rain Gauge Network: A Case Study of Daegu and Gyeongbuk Area in South Korea

Kwon, Taeyong ; Lim, Junghyun ; Yoon, Seongsim ; Yoon, Sanghoo

Applied sciences, 2020-08, Vol.10 (16), p.5620 [Periódico revisado por pares]

Basel: MDPI AG

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9
Improving Electric Energy Consumption Prediction Using CNN and Bi-LSTM
Improving Electric Energy Consumption Prediction Using CNN and Bi-LSTM
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Improving Electric Energy Consumption Prediction Using CNN and Bi-LSTM

Le, Tuong ; Vo, Minh ; Vo, Bay ; Hwang, Eenjun ; Rho, Seungmin ; Baik, Sung

Applied sciences, 2019-10, Vol.9 (20), p.4237 [Periódico revisado por pares]

Basel: MDPI AG

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10
Study on Accuracy Metrics for Evaluating the Predictions of Damage Locations in Deep Piles Using Artificial Neural Networks with Acoustic Emission Data
Study on Accuracy Metrics for Evaluating the Predictions of Damage Locations in Deep Piles Using Artificial Neural Networks with Acoustic Emission Data
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Study on Accuracy Metrics for Evaluating the Predictions of Damage Locations in Deep Piles Using Artificial Neural Networks with Acoustic Emission Data

Jierula, Alipujiang ; Wang, Shuhong ; OH, Tae-Min ; Wang, Pengyu

Applied sciences, 2021-03, Vol.11 (5), p.2314 [Periódico revisado por pares]

Basel: MDPI AG

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