AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Urbanization

Showing 11 to 20 of 30 articles

Clear Filters

Applying State-of-the-Art Deep-Learning Methods to Classify Urban Cities of the Developing World.

Sensors (Basel, Switzerland)
This paper shows the efficacy of a novel urban categorization framework based on deep learning, and a novel categorization method customized for cities in the global south. The proposed categorization method assesses urban space broadly on two dimens...

Research on Land Utilization Spatial Classification Planning Method Based on Multiocular Vision.

Computational and mathematical methods in medicine
With the development of China's social economy as well as the accelerating urbanization construction and the expanding scale of cities, the integration of land use and urban land classification based on land use spatial planning has become an importa...

Model predictive control based on artificial intelligence and EPA-SWMM model to reduce CSOs impacts in sewer systems.

Water science and technology : a journal of the International Association on Water Pollution Research
Urbanization and an increase in precipitation intensities due to climate change, in addition to limited urban drainage systems (UDS) capacity, are the main causes of combined sewer overflows (CSOs) that cause serious water pollution problems in many ...

Determination of impervious area of Saroor Nagar Watershed of Telangana using spectral indices, MLC, and machine learning (SVM) techniques.

Environmental monitoring and assessment
Urbanization affects the local wind and water cycle by changing the natural surface and atmospheric conditions, which further changes the local climate and climate system. Assessment of built-up-area changes in a rapidly growing urban area within a s...

A Hybrid FMCDM Approach for the Evaluation and Selection of Homestays.

International journal of environmental research and public health
Due to the beautiful rural scenery, rural tourism has gradually become a popular trend as affected by urbanization in Taiwan. The purpose of this study is to develop an objective and systematic evaluation model for homestay selection in Taiwan. Speci...

Modelling built-up land expansion probability using the integrated fuzzy logic and coupling coordination degree model.

Journal of environmental management
The expansion of built-up area is the most noticeable form of urbanization-induced land use/land cover (LULC) change. In the global cities of south, the urban sprawl is increasing rapidly with even higher probabilities of future built-up expansion. T...

Modeling Production-Living-Ecological Space for Chengdu, China: An Analytical Framework Based on Machine Learning with Automatic Parameterization of Environmental Elements.

International journal of environmental research and public health
Cities worldwide are facing the dual pressures of growing population and land expansion, leading to the intensification of conflicts in urban productive-living-ecological spaces (PLES). Therefore, the question of "how to dynamically judge the differe...

A cellular automata model coupled with partitioning CNN-LSTM and PLUS models for urban land change simulation.

Journal of environmental management
Urbanisation is a key aspect of land use change (LUC), and accurately modelling of urban LUC is crucial for sustainable development. Cellular automata (CA) are widely used in LUC research. However, previous studies have overlooked the significant tem...

Deep learning models for monitoring landscape changes in a UNESCO Global Geopark.

Journal of environmental management
By identifying Earth heritage sites, UNESCO Global Geoparks (UGGps) have promoted geo-tourism and regional economic prosperity. However, commercial and tourism development has altered the natural contexts of these geoparks, diminishing their initial ...

Exploring the nexus between water quality and land use/land cover change in an urban watershed in Uruguay: a machine learning approach.

Environmental science and pollution research international
The expansion of urban areas contributes to the growth of impervious surfaces, leading to increased pollution and altering the configuration, composition, and context of land covers. This study employed machine learning methods (partial least square ...