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A data-driven method for feature assessment of historical settlements: A case study of Northeast Hubei, China
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作者 Gangyi Tan Zhanxiang Chen +1 位作者 Jiangkun Zhu Kai Wang 《Frontiers of Architectural Research》 CSCD 2024年第2期387-405,共19页
Formulating criteria for the assessment system of historic settlements is challenging due to complex geographical conditions and evaluator knowledge limitations, leading to subjective bias in the assessment process. T... Formulating criteria for the assessment system of historic settlements is challenging due to complex geographical conditions and evaluator knowledge limitations, leading to subjective bias in the assessment process. To address this issue, this study proposes a data-driven method for assessing the features of historical settlements to carry out scientific and refined assessment and result analysis. Focusing on Northeast Hubei as the study area, this paper selects 3 historical settlements for validation and analysis. The results of the study show that (1) the data-driven method expands the methodological chain of assessing historical settlement features, and improves the assessment efficiency and scientificity of the assessment results by applying it to the new assessment process;(2) Through comparing the assessment results of the validation cases and data samples, the study establishes a comprehensive quantitative ranking of the assessment of historical settlement features and identifies the main influencing factors, thus enhancing the precision of result analysis;(3) By comparing the resulting assessment framework with the current assessment system, this study confirms the advantages of the proposed framework in identifying nuanced features and aligning with geographical conditions, thereby verifying the effectiveness of the data-driven method. 展开更多
关键词 Historical settlement feature assessment Data-driven method Northeast Hubei
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Assessment of glaucoma using extreme learning machine and fractal feature analysis
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作者 Subramaniam Kavitha Karuppusamy Duraiswamy Sakthivel Karthikeyan 《International Journal of Ophthalmology(English edition)》 SCIE CAS 2015年第6期1255-1257,共3页
Dear Sir,Iam Dr.Kavitha S,from the Department of Electronics and Communication Engineering,Nandha Engineering College,Erode,Tamil Nadu,India.I write to present the detection of glaucoma using extreme learning machine(... Dear Sir,Iam Dr.Kavitha S,from the Department of Electronics and Communication Engineering,Nandha Engineering College,Erode,Tamil Nadu,India.I write to present the detection of glaucoma using extreme learning machine(ELM)and fractal feature analysis.Glaucoma is the second most frequent cause of permanent blindness in industrial 展开更多
关键词 In assessment of glaucoma using extreme learning machine and fractal feature analysis ELM FIGURE
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