Supplementary materials and raw data for the systematic review “Defect recognition technologies in computer vision: a systematic and bibliometric review”
收藏DataCite Commons2025-11-18 更新2026-02-09 收录
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https://figshare.com/articles/dataset/Supplementary_materials_and_raw_data_for_the_systematic_review_Defect_recognition_technologies_in_computer_vision_a_systematic_and_bibliometric_review_/30644930
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资源简介：
This dataset contains the raw bibliographic data used in the systematic and bibliometric review on defect recognition technologies in computer vision. The files include Scopus and Web of Science exports (.bib, .csv, .txt), combined citation data, and search results used to generate the PRISMA flowchart and bibliometric analysis. These materials support transparency, reproducibility, and compliance with PRISMA guidelines.machine macac
提供机构：
figshare
创建时间：
2025-11-18
