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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...

Evaluation algorithm of coastal city ecological civilization development level based on improved BP neural network.

Journal of environmental management
To accurately evaluate the development level of ecological civilization in coastal cities, this paper proposes an evaluation algorithm of coastal city ecological civilization development based on Improved BP neural network, constructs the evaluation ...

Street Landscape Planning and Design Guided by Artificial Intelligence Interactive Experience.

Computational intelligence and neuroscience
As an important part of the city, urban streets have always played an active role in carrying public needs and optimizing public living spaces. They are also important to open public spaces in the city. In addition, with technology integration and li...

Innovative Design of a Healthy and Environmentally Friendly Intelligent Cleaning Robot in a Smart City Public Environment.

Journal of environmental and public health
With the expansion of modern society, there has been a substantial increase in the number of structures with multiple stories. Skyscrapers are not only the dream of incredible architects that desire to command the sky, but they have also transformed ...

High-Quality Development of Science and Technology Finance and Logistics Industry in the Yangtze River Economic Belt: Coupling Analysis Based on Deep Learning Model.

Computational intelligence and neuroscience
Using the entropy method, the coupling coordination model, and the Tobit model, the coupling coordination degree of the high-quality development of science and technology finance and the logistics industry in the Yangtze River Economic Belt in China ...

Optimization Design of Street Public Space Layout on Account of Internet of Things and Deep Learning.

Computational intelligence and neuroscience
With the gradual improvement of material living standards, people have higher and higher requirements for the livability of modern cities. As an important component of urban construction, the optimal layout of street public space has gradually receiv...

Deep learning hybrid predictions for the amount of municipal solid waste: A case study in Shanghai.

Chemosphere
It is crucial to precisely estimate the municipal solid waste (MSW) amount for its sustainable management. Owing to learning complicated and abstract features between the factors and target, deep learning has recently emerged as one of the useful too...

Green Finance Evaluation Based on Neural Network Model.

Computational intelligence and neuroscience
The weights of green finance indicators are established in accordance with the AHP in order to suggest an evaluation system that is more thorough and reasonable and to construct an evaluation index system. The findings indicate that the growth of urb...

Nested Bee Hive: A Conceptual Multilayer Architecture for 6G in Futuristic Sustainable Smart Cities.

Sensors (Basel, Switzerland)
Several smart city ideas are introduced to manage various problems caused by overpopulation, but the futuristic smart city is a concept based on dense and artificial-intelligence-centric cities. Thus, massive device connectivity with huge data traffi...

Prediction of malaria using deep learning models: A case study on city clusters in the state of Amazonas, Brazil, from 2003 to 2018.

Revista da Sociedade Brasileira de Medicina Tropical
BACKGROUND: Malaria is curable. Nonetheless, over 229 million cases of malaria were recorded in 2019, along with 409,000 deaths. Although over 42 million Brazilians are at risk of contracting malaria, 99% percent of all malaria cases in Brazil are lo...