Application architecture of image recognition optimization algorithm under MEC environment. by Chen Cheng (76970)

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The image recognition process under MEC environment. by Chen Cheng (76970)

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Response times for each architecture under WiFi. by Chen Cheng (76970)

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The response time of each architecture under the mobile data network. by Chen Cheng (76970)

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The accuracy of each algorithm in different number of neighbors in different data sets. by Chen Cheng (76970)

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Related parameters of Radarsat-2 image in Muli county, Liangshan prefecture. by Chen Cheng (76970)

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Analysis on distribution and possible factors of mountain fires in Muli county, Liangshan prefecture during low and high occurrence periods. by Chen Cheng (76970)

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MEC architecture. by Chen Cheng (76970)

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Bandwidth usage for different architectures. by Chen Cheng (76970)

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S1 Data - by Chen Cheng (76970)

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Functions of the software. by Chen Cheng (76970)

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The training process of each classification model. by Dinghong Mu (14204200)

Mold plates for molding process. by Nguyen Truong Giang (19469753)

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The table of optimized results for PA6. by Nguyen Truong Giang (19469753)

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Experimental flow process. by Yahya M. Altharan (18156064)

“…This work was carried out to study the application of hot press forging (HPF) in recycling AA6061 aluminum chip waste, aiming to optimize operating factors using Response Surface Methodology (RSM), Artificial Neural Network (ANN) and Genetic algorithm (GA) strategy to maximize the strength of recycled parts. …”

Predictions of the drifter profiles for the floats in the heldout testing dataset, using the expected conditional mean of the latent variables generated by one iteration of the for... by Yan Yan (208529)

The weld line formation mechanism during injection molding process: (a) without mold temperature control system, and (b) with mold temperature control system. by Nguyen Truong Giang (19469753)

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RSM optimal solution. by Yahya M. Altharan (18156064)

“…This work was carried out to study the application of hot press forging (HPF) in recycling AA6061 aluminum chip waste, aiming to optimize operating factors using Response Surface Methodology (RSM), Artificial Neural Network (ANN) and Genetic algorithm (GA) strategy to maximize the strength of recycled parts. …”

RSM optimization plot for UTS. by Yahya M. Altharan (18156064)

“…This work was carried out to study the application of hot press forging (HPF) in recycling AA6061 aluminum chip waste, aiming to optimize operating factors using Response Surface Methodology (RSM), Artificial Neural Network (ANN) and Genetic algorithm (GA) strategy to maximize the strength of recycled parts. …”

Comparison of UTS values of PA6 samples with weld line at different packing time. by Nguyen Truong Giang (19469753)

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