Reshaping Industrial Maintenance with Machine Learning: Fouling Control Using Optimized Gaussian Process Regression by Francesco Negri (12992994)

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The train and test kernel matrix matrices. by Aninda Astuti (21736334)

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Processing time for the different pipeline steps. by Marc Weitz (8131560)

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Confusion Matrix for Features: [’avg_response_time’, ’speech_speed’, ’avg_characters’, ’adj_freq’] with parameters: kernel = rbf, gamma = 0.1, C = 10. by Giuliano Lorenzoni (21440268)

Completion times for different algorithms. by Jianbin Zheng (587000)

“…The algorithm employs recurrent neural networks to capture and process historical information. …”

Algorithm process. by Wei Cui (92129)

Improve algorithm process. by Ziwei Wu (11386352)

Running time in the PPO process. by Yunhu Huang (21402795)

Performance analysis of 500kW solar PV plant based on machine learning algorithms by Karthikeyan Balachandran (20410999)

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DARTS algorithm process. by Yuxuan Ji (13991895)

Algorithm optimization process. by Zhihao Li (359073)

Etalon2 observations and algorithmic processing results. by Jinyu Wang (381467)

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Lares2 observations and algorithmic processing results. by Jinyu Wang (381467)

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Etalon1 observations and algorithmic processing results. by Jinyu Wang (381467)

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Processing time of each processing task. by Heshuai Shen (21696119)

Time complexity of different safety algorithms. by Most. Fatematuz Zohora (19429152)

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The segmentation process of this new algorithm. by Niu Meng (22032810)

“…The experimental results show that the proposed method shortens the execution time by nearly 40% compared with the self-organized mapping network, and the average color difference (ΔE) of each region after color segmentation is as low as 0.7, which is significantly better than other algorithms. …”

The execution process of DPC algorithm. by Niu Meng (22032810)

“…The experimental results show that the proposed method shortens the execution time by nearly 40% compared with the self-organized mapping network, and the average color difference (ΔE) of each region after color segmentation is as low as 0.7, which is significantly better than other algorithms. …”

BM3D algorithmic process. by Xiyu Zheng (21703063)

Four algorithms construct feature face time and recognition time on different datasets. by Lu Lin (201289)