Zobrazeno 1 - 10
of 407
pro vyhledávání: '"ZhenLong Li"'
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:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
Deep learning (DL) has demonstrated strong potential in addressing key challenges in spatiotemporal forecasting across various Earth system science (ESS) domains. This review examines 69 studies applying DL to forecasting tasks within climate modelin
Externí odkaz:
https://doaj.org/article/d30fcf1ca3d54be5963dff09cc466995
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
ABSTRACTThe launch of large language models (LLMs) like ChatGPT in late 2022 and the anticipated arrival of future GPT-x iterations have marked the beginning of the generative artificial intelligence (GAI) era. We conducted a systematic review of how
Externí odkaz:
https://doaj.org/article/ac30614f639548afa2e1b92c929e0c64
Autor:
M. Naser Lessani, Zhenlong Li, Fengrui Jing, Shan Qiao, Jiajia Zhang, Bankole Olatosi, Xiaoming Li
Publikováno v:
Geo-spatial Information Science, Pp 1-28 (2023)
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:
Zhenlong Li, Huan Ning
Publikováno v:
International Journal of Digital Earth, Vol 16, Iss 2, Pp 4668-4686 (2023)
ABSTRACTLarge Language Models (LLMs), such as ChatGPT, demonstrate a strong understanding of human natural language and have been explored and applied in various fields, including reasoning, creative writing, code generation, translation, and informa
Externí odkaz:
https://doaj.org/article/94b5855adeb9438ca150c28b1c688b03
Publikováno v:
International Journal of Digital Earth, Vol 16, Iss 1, Pp 130-157 (2023)
Geospatial social media (GSM) data has been increasingly used in public health due to its rich, timely, and accessible spatial information, particularly in infectious disease research. This review synthesized 86 research articles that use GSM data in
Externí odkaz:
https://doaj.org/article/3b7cb13e51a2445890f9aad85e190bdb
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-9 (2023)
Abstract The prevalence of cardiometabolic diseases in the United States is presumably linked to an obesogenic retail food environment that promotes unhealthy dietary habits. Past studies, however, have reported inconsistent findings about the relati
Externí odkaz:
https://doaj.org/article/54a97c475eb642c3b09067e48d60c837
Autor:
Fanghui Shi, Jiajia Zhang, Xueying Yang, Xiaowen Sun, Zhenlong Li, Sharon Weissman, Bankole Olatosi, Xiaoming Li
Publikováno v:
BMC Public Health, Vol 23, Iss 1, Pp 1-11 (2023)
Abstract Background COVID-19 testing is essential for pandemic control, and insufficient testing in areas with high disease burdens could magnify the risk of poor health outcomes. However, few area-based studies on COVID-19 testing disparities have c
Externí odkaz:
https://doaj.org/article/9b6195aa70404d1aaeaf2cbe5cf29753
Autor:
Chuan Zhao, Zhenlong Li, Fangchao Xu, Hongkui Zhang, Feng Sun, Junjie Jin, Xiaoyou Zhang, Lijian Yang
Publikováno v:
Actuators, Vol 13, Iss 7, p 248 (2024)
In this paper, a novel three-degree-of-freedom piezoelectric-driven micro-positioning platform based on a lever combination compound bridge-type displacement amplification mechanism is proposed. The micro-positioning platform proposed in this paper a
Externí odkaz:
https://doaj.org/article/3011046f35f348998f631102533d191e