Titlebook: Advanced Computing; 13th International C Deepak Garg,Joel J. P. C. Rodrigues,Govind Singh P Conference proceedings 2024 The Editor(s) (if a

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書目名稱Advanced Computing影響因子(影響力)




書目名稱Advanced Computing影響因子(影響力)學(xué)科排名




書目名稱Advanced Computing網(wǎng)絡(luò)公開度




書目名稱Advanced Computing網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Advanced Computing被引頻次




書目名稱Advanced Computing被引頻次學(xué)科排名




書目名稱Advanced Computing年度引用




書目名稱Advanced Computing年度引用學(xué)科排名




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書目名稱Advanced Computing讀者反饋學(xué)科排名

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Object Detection and?Depth Estimation Using Deep Learning978-3-531-90637-9

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Optimizing Biomass Forecasting and Supply Chain: An Integrated Modelling Approach978-3-322-86065-1

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Neues in der Wachstumstheorie?,ion systems with face recognition. This requires mat lab software, which is the required program. Neural networks are categorized as deep learning. Deep learning’s foundational component, feature learning, aims to obtain hierarchical information using hierarchical networks in order to address signif

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https://doi.org/10.1007/978-3-663-04212-9ped model correctly predicted the properties of NiCrSiBFe coatings. The average errors for porosity, nano-hardness, and sliding wear rate are 1.816%, 1.997%, and 4.405%, respectively. The developed back propagation model can therefore be applied to coating operating practice for spray performance pr

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Hermann Fink,Karl-Wilhelm Hoppenhaussis were conducted using actual case data, and the results showed that the model had good performance in optimizing the construction period, with a maximum optimization period of 3.7?days, while also improving safety and resource utilization.