Zobrazeno 1 - 6
of 6
pro vyhledávání: '"M Naser Lessani"'
Publikováno v:
PLoS ONE, Vol 19, Iss 1, p e0294430 (2024)
Mobile location data has emerged as a valuable data source for studying human mobility patterns in various contexts, including virus spreading, urban planning, and hazard evacuation. However, these data are often anonymized overviews derived from a p
Externí odkaz:
https://doaj.org/article/82b4874f6e3a4b97aa8682781d8aedca
Autor:
M. Naser Lessani, Zhenlong Li, Fengrui Jing, Shan Qiao, Jiajia Zhang, Bankole Olatosi, Xiaoming Li
Publikováno v:
Geo-spatial Information Science, Vol 27, Iss 6, Pp 1824-1851 (2024)
Recent decades have witnessed several infectious disease outbreaks, including the coronavirus disease (COVID-19) pandemic, which had catastrophic impacts on societies around the globe. At the same time, the twenty-first century has experienced an unp
Externí odkaz:
https://doaj.org/article/2f2f9516c34d42fcaea8c6ce509ba8d5
Autor:
Fengrui Jing, Zhenlong Li, Shan Qiao, M. Naser Lessani, Huan Ning, Wenjun Ma, Jinjing Hu, Pan Yang, Xiaoming Li
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
Forecasting infectious respiratory diseases is crucial for effective prevention and intervention strategies. However, existing time series forecasting models that incorporate human mobility data have faced challenges in making localized predictions o
Externí odkaz:
https://doaj.org/article/35b4e691b135405082c70aecb3b49688
Publikováno v:
Computational Urban Science, Vol 4, Iss 1, Pp 1-19 (2024)
Abstract Information on the depth of floodwater is crucial for rapid mapping of areas affected by floods. However, previous approaches for estimating floodwater depth, including field surveys, remote sensing, and machine learning techniques, can be t
Externí odkaz:
https://doaj.org/article/19ef681ae74c4840aedb657e18b639fc
Publikováno v:
Geo-spatial Information Science, Pp 1-19 (2024)
Multiple Geographical Feature Label Placement (MGFLP) has been a fundamental problem in geographic information visualization for decades. Moreover, the nature of label positioning has proven to be an Nondeterministic polynomial-time hard (NP-hard) pr
Externí odkaz:
https://doaj.org/article/f708ff466ac540c5b3c8a6c68798e32c
Publikováno v:
PLoS ONE, Vol 19, Iss 1 (2024)
Externí odkaz:
https://doaj.org/article/df66b43d188048e9bf0a40442b598916