Zobrazeno 1 - 10
of 241
pro vyhledávání: '"Hotspot identification"'
Autor:
Santi Bardeeniz, Chanin Panjapornpon, Mohamed Azlan Hussain, Viganda Varabuntoonvit, Kulpavee Jitapunkul
Publikováno v:
Results in Engineering, Vol 23, Iss , Pp 102818- (2024)
With growing concerns about global warming and environmental degradation, the petrochemical industry has been urged to reduce energy consumption and emissions. However, making operational adjustments in multi-sectional production systems, which invol
Externí odkaz:
https://doaj.org/article/a63d43bc2f9445f183f5cff87b790677
Publikováno v:
International Journal of Transportation Science and Technology, Vol 13, Iss , Pp 258-269 (2024)
The conditional generative adversarial network (CGAN) is used in this paper for empirical Bayes (EB) analysis of road crash hotspots. EB is a well-known method for estimating the expected crash frequency of sites (e.g. road segments, intersections) a
Externí odkaz:
https://doaj.org/article/08d638d1a60d43c6a3715ad054932ae7
Autor:
Alok Bihari Singh, Vikrant Bhakar, Gaurav Gaurav, Chandni Khandelwal, Prabir Sarkar, Harpreet Singh, Govind Sharan Dangayach
Publikováno v:
Frontiers in Sustainability, Vol 5 (2024)
ContextAssessing the sustainability of milk production in India (the largest milk producer country in the world) is essential to ensure that the dairy industry can meet the growing demands for dairy products while minimizing its negative impact on th
Externí odkaz:
https://doaj.org/article/a442f036bc1e4f8aacff0f131664d553
Autor:
Ayush Jain, Manikandan Padmanaban, Jagabondhu Hazra, Ranjini Guruprasad, Shantanu Godbole, Heriansyah Syam
Publikováno v:
Environmental Data Science, Vol 3 (2024)
Eight major supply chains contribute to more than 50% of the global greenhouse gas emissions (GHG). These supply chains range from raw materials to end-product manufacturing. Hence, it is critical to accurately estimate the carbon footprint of these
Externí odkaz:
https://doaj.org/article/7591b0a4227e4b9ea08c18ab41cb779f
Autor:
Soo-Yeon Hwang, Seojeong Park, Hyunji Jo, Seung Hee Seo, Kyung-Hwa Jeon, Seojeong Kim, Ah-Reum Jung, Chanju Song, Misun Ahn, Soo Yeon Kwak, Hwa-Jong Lee, Motonari Uesugi, Younghwa Na, Youngjoo Kwon
Publikováno v:
Journal of Advanced Research, Vol 47, Iss , Pp 173-187 (2023)
Introduction: HER2 overexpression induces cancer aggression and frequent recurrences in many solid tumors. Because HER2 overproduction is generally followed by gene amplification, inhibition of protein–protein interaction (PPI) between transcriptio
Externí odkaz:
https://doaj.org/article/c514c7b5d10c489d80d09349a306cdd7
Publikováno v:
Future Transportation, Vol 3, Iss 1, Pp 286-295 (2023)
Crash hotspot identification (HSID) is an essential component of traffic management authorities’ efforts to improve safety and allocate limited resources. This paper presents a method for identifying hotspots using self-organizing maps (SOM). The S
Externí odkaz:
https://doaj.org/article/01e03886aa02457faf207b332bf678b1
Autor:
Yuting Lu, Hong Wang, Yao Zhang, Jiahao Liu, Tengfei Qu, Xili Zhao, Haozhe Tian, Jingru Su, Dingsheng Luo, Yalei Yang
Publikováno v:
Diversity, Vol 15, Iss 10, p 1064 (2023)
Considering Inner Mongolia as the study area, the ecological theory of climate change, and human activities affecting a wide range of biodiversity patterns, MODIS multi-timeseries remote sensing image data were used and the interannual variation inde
Externí odkaz:
https://doaj.org/article/3bcf88f2bf134a1d95af809e513f0bcc
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.