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In this study, the GSE38974 dataset was downloaded from the GEO database (https://www.ncbi.nlm.nih.gov/geo/), which included 9 cases of healthy individuals lung tissue samples and 23 cases of patients with COPD lung tissue samples of RNA sequencing data. The dataset is based on the GPL4133 platform, Agilent-014850 Whole Human Genome Microarray 4× 44 K G4112F, and contains gene expression microarray data.
1. Introduction In September 2020, the Chinese government explicitly announced its goals to achieve carbon peaking by 2030 and carbon neutrality by 2060, collectively known as the “3060” dual carbon targets. To achieve these targets, China is actively advancing the green and low-carbon transformation of its energy structure. Heating, a crucial component of building energy consumption, has emerged as a key area in this transformation.
Home Full-text access for editors A study of an improved RCNN network model for surface defect detection algorithm of precision workpiece and its realisation by Xiaohong Dai; Yingji Zhao; Chaoping Zhu International Journal of Wireless and Mobile Computing (IJWMC), Vol. 19, No. 1, 2020 Abstract: In this paper, an improved RCNN algorithm for surface defect detection of precision workpiece is proposed.
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