AIMC Topic: Housing

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Forecasting second-hand house prices in China using the GA-PSO-BP neural network model.

PloS one May 7, 2025
While the traditional genetic algorithms are capable of forecasting house prices, they often suffer from premature convergence, which adversely affects the reliability of the forecasts. To address this issue, the research employs a genetic-particle s...
China Models, Economic Housing Commerce Neural Networks, Computer Algorithms Forecasting Humans
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Modeling the latent impacts of extreme floods on indoor mold spores in residential buildings: Application of machine learning algorithms.

Environment international Feb 4, 2025
Floods can severely impact the economy, environment and society. These impacts can be direct and indirect. Past research has focused more on the former impacts. Of the indirect impacts, those on mold growth in indoor environments that affect human re...
Algorithms Models, Theoretical Air Pollution, Indoor Humans Machine Learning Housing Cyclonic Storms Air Microbiology Spores, Fungal Floods Fungi
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Extracting Housing and Food Insecurity Information From Clinical Notes Using cTAKES.

Health services research Jan 28, 2025
OBJECTIVE: To assess the utility and challenges of using natural language processing (NLP) in electronic health records (EHRs) to ascertain health-related social needs (HRSNs) among older adults.
Aged Aged, 80 and over Male Electronic Health Records Female Data Mining Systematized Nomenclature of Medicine California Middle Aged Natural Language Processing Humans Housing Food Insecurity
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Identifying predictors of spatiotemporal variations in residential radon concentrations across North Carolina using machine learning analytics.

Environmental pollution (Barking, Essex : 1987) Jan 4, 2025
Radon is a naturally occurring radioactive gas derived from the decay of uranium in the Earth's crust. Radon exposure is the leading cause of lung cancer among non-smokers in the US. Radon infiltrates homes through soil and building foundations. This...
North Carolina Housing Air Pollutants, Radioactive Radon Radiation Monitoring Machine Learning Spatio-Temporal Analysis Air Pollution, Indoor
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Advancing ensemble learning techniques for residential building electricity consumption forecasting: Insight from explainable artificial intelligence.

PloS one Nov 14, 2024
Accurate electricity consumption forecasting in residential buildings has a direct impact on energy efficiency and cost management, making it a critical component of sustainable energy practices. Decision tree-based ensemble learning techniques are p...
Humans Artificial Intelligence Forecasting Decision Trees Machine Learning Electricity Housing
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Development of a High-Resolution Indoor Radon Map Using a New Machine Learning-Based Probabilistic Model and German Radon Survey Data.

Environmental health perspectives Sep 18, 2024
BACKGROUND: Radon is a carcinogenic, radioactive gas that can accumulate indoors and is undetected by human senses. Therefore, accurate knowledge of indoor radon concentration is crucial for assessing radon-related health effects or identifying radon...
Radon Air Pollution, Indoor Germany Radiation Monitoring Air Pollutants, Radioactive Housing Humans Machine Learning Models, Statistical
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Combining deep learning and crowd-sourcing images to predict housing quality in rural China.

Scientific reports Nov 15, 2022
Housing quality is essential to human well-being, security and health. Monitoring the housing quality is crucial for unveiling the socioeconomic development status and providing political proposals. However, depicting the nationwide housing quality i...
Humans Rural Population Housing Housing Quality Deep Learning China
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A machine learning approach to small area estimation: predicting the health, housing and well-being of the population of Netherlands.

International journal of health geographics Jun 6, 2022
BACKGROUND: Local policymakers require information about public health, housing and well-being at small geographical areas. A municipality can for example use this information to organize targeted activities with the aim of improving the well-being o...
Humans Netherlands Machine Learning Housing Residence Characteristics Models, Statistical
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Application of Artificial Intelligence Computing in the Universal Design of Aging and Healthy Housing.

Computational intelligence and neuroscience Mar 26, 2022
Intelligent control technology is not only the use of the so-called highly sophisticated technology in the daily life of the elderly but also control services according to the individual needs of the elderly. This paper combines research in psycholog...
Universal Design Quality of Life Housing Humans Aged Artificial Intelligence Aging
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Human Activity Classification Using Multilayer Perceptron.

Sensors (Basel, Switzerland) Sep 16, 2021
The number of smart homes is rapidly increasing. Smart homes typically feature functions such as voice-activated functions, automation, monitoring, and tracking events. Besides comfort and convenience, the integration of smart home functionality with...
Wrist Housing Humans Automation Neural Networks, Computer Human Activities
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