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Land Cover Analysis in the Yangtze River Basin for Detection of Wetland Agriculture and Urban Dynamics in Wuhan Area (China).

• Authors : Lemenkova, Polina^1,2 (AUTHOR)

• Source: Transylvanian Review of Systematical & Ecological Research. 2025, Vol. 27 Issue 1, p1-16. 16p.

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Optimization of urban green space in Wuhan based on machine learning algorithm from the perspective of healthy city

• Authors : Xuechun Zhou; Xiaofei Zou; Wenzuixiong Xiong

Subjects: machine learning; random Forest algorithm; Support Vector Machine algorithm

• Source: Frontiers in Public Health, Vol 13 (2025)

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A dynamic assessment method of geological disaster susceptibility and its application based on effective rainfall in Wuhan City

• Authors : Ming LI; Li ZHANG; Qihua XIONG

Subjects: geological hazard; prediction model; dynamic assessment

• Source: 暴雨灾害, Vol 43, Iss 5, Pp 572-579 (2024)

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Sustainable planning in Wuhan City during COVID-19: an analysis of influential factors, risk profiles, and clustered patterns

• Authors : Peng Zhou; Hailu Zhang; Lanjun Liu

Subjects: 03 medical and health sciences; machine learning; 0302 clinical medicine

• Source: Front Public HealthFrontiers in Public Health, Vol 11 (2023)

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Modeling Impact of Transportation Infrastructure-Based Accessibility on the Development of Mixed Land Use Using Deep Neural Networks: Evidence from Jiang'an District, City of Wuhan, China.

• Authors : Almansoub, Yunes^1,2,3 (AUTHOR) ; Zhong, Ming^1,2 (AUTHOR) ; Safdar, Muhammad^1,2 (AUTHOR)

Subjects: *Artificial neural networks; *Mixed-use developments; *Sustainable urban developmentWuhan (China)

• Source: Sustainability (2071-1050). Nov2023, Vol. 15 Issue 21, p15470. 40p.

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Understanding the Spatiotemporal Impacts of the Built Environment on Different Types of Metro Ridership: A Case Study in Wuhan, China

• Authors : Hong Yang; Jiandong Peng; Yuanhang Zhang

Subjects: machine learning; time-varying effect; 0211 other engineering and technologies

• Source: Smart Cities, Vol 6, Iss 5, Pp 2282-2307 (2023)

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Early‐stage predictors of deterioration among 3145 nonsevere SARS‐CoV‐2‐infected people community‐isolated in Wuhan, China: A combination of machine learning algorithms and competing risk survival analyses

• Authors : Kaiyuan Min; Zhenshun Cheng; Jiangfeng Liu

Subjects: Male; Adult; Machine Learning

• Source: Journal of Evidence-Based Medicine. 16:166-177

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More Urban Elderly Care Facilities Should Be Placed in Densely Populated Areas for an Aging Wuhan of China

• Authors : Zhenwei Wang; Xiaochun Wang; Zijin Dong

Subjects: Wuhan; point of interest; machine learning

• Source: Land, Vol 12, Iss 1, p 220 (2023)Land; Volume 12; Issue 1; Pages: 220

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Exploring the spatial pattern of community urban green spaces and COVID-19 risk in Wuhan based on a random forest model

• Authors : Wenpei Li; Fei Dai; Jessica Ann Diehl

Subjects: Urban green spaces; COVID-19; Relative importance

• Source: Heliyon, Vol 9, Iss 9, Pp e19773- (2023)

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Risk factors related to the severity of COVID-19 in Wuhan

• Authors : Yanyan Zhong; Na Lu; Chen Zhao

Subjects: Aged, 80 and over; Male; China

• Source: Int J Med Sci

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