Physics and Chemistry of the Earth Parts A/B/C, Год журнала: 2024, Номер unknown, С. 103818 - 103818
Опубликована: Ноя. 1, 2024
Язык: Английский
Physics and Chemistry of the Earth Parts A/B/C, Год журнала: 2024, Номер unknown, С. 103818 - 103818
Опубликована: Ноя. 1, 2024
Язык: Английский
Applied Geomatics, Год журнала: 2025, Номер unknown
Опубликована: Фев. 28, 2025
Язык: Английский
Процитировано
1Environmental Development, Год журнала: 2024, Номер 52, С. 101092 - 101092
Опубликована: Окт. 15, 2024
Язык: Английский
Процитировано
3Engineering Applications of Artificial Intelligence, Год журнала: 2025, Номер 149, С. 110573 - 110573
Опубликована: Март 17, 2025
Язык: Английский
Процитировано
0Group Decision and Negotiation, Год журнала: 2025, Номер unknown
Опубликована: Апрель 24, 2025
Язык: Английский
Процитировано
0Applied Sciences, Год журнала: 2025, Номер 15(10), С. 5482 - 5482
Опубликована: Май 14, 2025
Slope-related geological disasters occur frequently in various countries, posing significant threats to surrounding infrastructure, ecosystems, and human lives property. Traditional manual monitoring methods for slope hazards are inefficient have limited coverage. To enhance the analysis of hazards, a study was conducted on legacy slopes an abandoned quarry Jinan, Shandong Province, China. High-resolution images were captured using unmanned aerial vehicle (UAV) phase tilt photogrammetry, three-dimensional models subsequently constructed. Software tools, including LiDAR360 5.2 ArcMap 10.8, employed extract information, identify disaster-prone areas, conduct stability analyses. The Analytic Hierarchy Process (AHP) further evaluate hazardous slopes. results reveal presence two geohazard-prone areas area. Geological shows that both exhibit instability, with high susceptibility small-scale rockfalls landslides. integration UAV remote sensing technology AHP represents novel approach, combination multiple analytical enhances accuracy assessments.
Язык: Английский
Процитировано
0Administrative Sciences, Год журнала: 2024, Номер 14(10), С. 241 - 241
Опубликована: Сен. 29, 2024
Innovation is one of the main factors associated with industrial growth, as it contributes to increased productivity, sustainability, and international competitiveness. There a certain degree complexity in measuring innovation, since there are various metrics for this purpose, each sector economy handles differently. In Brazil, Industrial Survey Technological (PINTEC) was developed construct sectorial indicators on innovation activities. Based these data, paper investigates how ten sectors performed during two historical series (2011 2014 2017) considering five criteria linked process impact qualified human capital. The problem analyzed light multicriteria decision analysis (MCDA), using preference ranking organization methods enrichment evaluation (PROMETHEE II) provide Brazilian sectors. results show have changed over years, highlighting that expenditure proved crucial companies’ commitment but also highly workforce emerged leading factor. Furthermore, research presents which contributed positively negatively sector, can serve drivers policy formulation strengthen industry.
Язык: Английский
Процитировано
1Environment Development and Sustainability, Год журнала: 2024, Номер unknown
Опубликована: Ноя. 12, 2024
Язык: Английский
Процитировано
1Physics and Chemistry of the Earth Parts A/B/C, Год журнала: 2024, Номер unknown, С. 103818 - 103818
Опубликована: Ноя. 1, 2024
Язык: Английский
Процитировано
0