No-load experimental speed waveform and Q-axis command current waveform of ASMC and SMC systems compared with local results. by Haoran Cui (7235234)

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List of technical characteristics of relevant literature. by Haoran Cui (7235234)

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Improvement of CBS to CBR process. by Pingping Yan (462509)

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Speed response curve and torque response curve after the change of moment of inertia. by Haoran Cui (7235234)

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Hardware structure diagram of PMSM speed control system driver board. by Haoran Cui (7235234)

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Sensitivity analysis of ASMC <i>σ</i> parameter. by Haoran Cui (7235234)

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Partial experimental speed waveform results under sudden load increase of three systems. by Haoran Cui (7235234)

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AP improvement rates for various targets on the NWPU VHR-10 dataset. by Pingping Yan (462509)

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EMA attention mechanism working principle. by Pingping Yan (462509)

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Ablation study on the NWPU VHR-10 dataset. by Pingping Yan (462509)

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GSConv working principle. by Pingping Yan (462509)

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Visualization comparison on NWPU VHR-10 dataset. by Pingping Yan (462509)

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Visualization comparison on RSOD dataset. by Pingping Yan (462509)

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PR comparison on NWPU VHR-10 dataset. by Pingping Yan (462509)

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Differential gene analysis and functional enrichment of the GSE775 dataset over time using the ClusterGVis package. by Wenlong Kuang (20485167)

Attack and defense behaviors between a single predator and a single prey using the sensory–motor algorithm. by Hiroyuki Ichijo (13891153)

Scatter plots of PATH⁺ and our implementation of TNet-BP’s predictions on a held-out, test subset of PDBBind v2020 refined set for one run (90:10 train:test split ratio,... by Yuxi Long (11024307)

Overall process planning. by Dawei Wang (471687)

“…A sophisticated optimization model has been developed to simulate the optimal operation of machinery, aiming to maximize equipment utilization efficiency while addressing the challenges posed by worker fatigue. An innovative algorithm, the improved hybrid gray wolf and whale algorithm fused with a penalty function for construction machinery optimization (IHWGWO), is introduced, incorporating a penalty function to handle constraints effectively. …”

Model intrinsic parameter flow. by Dawei Wang (471687)

“…A sophisticated optimization model has been developed to simulate the optimal operation of machinery, aiming to maximize equipment utilization efficiency while addressing the challenges posed by worker fatigue. An innovative algorithm, the improved hybrid gray wolf and whale algorithm fused with a penalty function for construction machinery optimization (IHWGWO), is introduced, incorporating a penalty function to handle constraints effectively. …”

A comparison of whether to add a penalty. by Dawei Wang (471687)

“…A sophisticated optimization model has been developed to simulate the optimal operation of machinery, aiming to maximize equipment utilization efficiency while addressing the challenges posed by worker fatigue. An innovative algorithm, the improved hybrid gray wolf and whale algorithm fused with a penalty function for construction machinery optimization (IHWGWO), is introduced, incorporating a penalty function to handle constraints effectively. …”