Intelligent wearable masks are gaining increasing interest due to COVID-19 and the problems limitations of existing masks. This paper prioritizes design elements personal protective equipment-intelligent from perspective product domain. Using principal component analysis (PCA), components were selected first in this paper. combined weights (PCA-AHP) method, intelligent masks’ prioritized at eac...

Low carbon economy is full of significance to realize sustainable development of a city. After making a review of global low carbon community construction by summarizing their features and routes, the authors set up a low-carbon economical evaluation system which consists of 3 layers, 3 systems and 14 indicators. What’s more, PCA (principal component analysis) and AHP (analytic hierarchy proces...

Afforestation is an essential strategy for erosion control. The objective of this study was to determine the soil quality index (SQI) in established afforested areas different ages control Erzurum, Turkey. Three were selected as plots considering their establishment periods: + 40 years old (AA>40), 10–40 (AA10–40), and less than 10 (AA<10). Forty samples taken each plot area over 0–15 15–30 cm ...

Abstract Principal Component Analysis (PCA) is one of the most widely used data analysis methods in machine learning and AI. This manuscript focuses on mathematical foundation classical PCA its application to a small-sample-size scenario large dataset high-dimensional space scenario. In particular, we discuss simple method that can be approximate latter case. also help kernel or (KPCA) for larg...

Anosognosia for hemiplegia (AHP) is characterised by poor insight or underestimation of hemiplegia after brain injury. Recent explanations of AHP have used an established 'forward model', which proposes that normal motor awareness involves comparing the predicted and actual sensory consequences of movements. These accounts propose that AHP patients may be able to form representations of their i...

Identifying areas susceptible to flash flood hazards is essential mitigating their negative impacts, particularly in arid regions. For example, southeastern Sinai, the Egyptian government seeks develop its coastal along Gulf of Aqaba maximize national economy while preserving sustainable development standards. The current study aims map and predict prone utilizing a spatial analytic hierarchy p...

With the global issues of extreme climate and urbanization, ecological security patterns (ESPs) in Qinling Mountains are facing prominent challenges. As a crucial barrier China, understanding characteristics ESPs is vital for achieving sustainable development. This study focuses on Yangxian employs methods such as machine learning (ML), remote sensing (RS), geographic information systems (GISs)...