AIMC Topic: Housing

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Machine Learning Algorithm Identifies the Importance of Environmental Factors for Hospital Discharge to Home of Stroke Patients using Wheelchair after Discharge.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association May 21, 2021
BACKGROUND AND PURPOSE: Physical environmental factors are generally likely to become barriers for discharge to home of wheelchair users, compared with non-wheelchair users. However, the importance of environmental factors has not been investigated a...
Environment Design Disability Evaluation Patient Discharge Aged, 80 and over Male Treatment Outcome Stroke Rehabilitation Wheelchairs Self-Help Devices Mobility Limitation Stroke Activities of Daily Living Housing Machine Learning Decision Support Techniques Databases, Factual Clinical Decision-Making Female Aged Humans
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Mapping and Discriminating Rural Settlements Using Gaofen-2 Images and a Fully Convolutional Network.

Sensors (Basel, Switzerland) Oct 25, 2020
New ongoing rural construction has resulted in an extensive mixture of new settlements with old ones in the rural areas of China. Understanding the spatial characteristic of these rural settlements is of crucial importance as it provides essential in...
Humans Neural Networks, Computer Decision Making Housing China Rural Population Environment Design
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Fuzzy logic programming and adaptable design of medical products for the COVID-19 anti-epidemic normalization.

Computer methods and programs in biomedicine Sep 16, 2020
BACKGROUND: The COVID-19 prevention and control constantly affects lives worldwide. In this paper, household medical products were analyzed using fuzzy logic. Considering the household anti-epidemic status, economic and environmental benefits, the ad...
Surveys and Questionnaires Computational Biology Fuzzy Logic Pandemics COVID-19 China Household Articles Household Products Equipment Design Probability Housing Humans
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Using de-identified electronic health records to research mental health supported housing services: A feasibility study.

PloS one Aug 20, 2020
BACKGROUND: Mental health supported housing services are a key component in the rehabilitation of people with severe and complex needs. They are implemented widely in the UK and other deinstitutionalised countries but there have been few empirical st...
Electronic Health Records Female Adult Mental Health Male Middle Aged Humans Mental Disorders Feasibility Studies Databases, Factual England Housing Mental Health Services Natural Language Processing
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Fuzzy-Based Approach Using IoT Devices for Smart Home to Assist Blind People for Navigation.

Sensors (Basel, Switzerland) Jun 30, 2020
The demand of devices for safe mobility of blind people is increasing with advancement in wireless communication. Artificial intelligent devices with multiple input and output methods are used for reliable data estimation based on maximum probability...
Internet of Things Housing Persons with Visual Disabilities Computer Simulation Environment Design Fuzzy Logic Humans Artificial Intelligence
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A Multi-Objective Approach for Optimal Energy Management in Smart Home Using the Reinforcement Learning.

Sensors (Basel, Switzerland) Jun 18, 2020
Maintaining a fair use of energy consumption in smart homes with many household appliances requires sophisticated algorithms working together in real time. Similarly, choosing a proper schedule for appliances operation can be used to reduce inappropr...
Humans Machine Learning Algorithms Housing Smart Materials
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Identifying Informal Settlements Using Contourlet Assisted Deep Learning.

Sensors (Basel, Switzerland) May 11, 2020
As the global urban population grows due to the influx of migrants from rural areas, many cities in developing countries face the emergence and proliferation of unplanned and informal settlements. However, even though the rise of unplanned developmen...
Deep Learning Cities Urban Population Housing Humans Social Planning
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Do street-level scene perceptions affect housing prices in Chinese megacities? An analysis using open access datasets and deep learning.

PloS one May 30, 2019
Many studies have explored the relationship between housing prices and environmental characteristics using the hedonic price model (HPM). However, few studies have deeply examined the impact of scene perception near residential units on housing price...
Housing City Planning Cities Commerce Humans Beijing Deep Learning China
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Predicting the concentration of indoor culturable fungi using a kernel-based extreme learning machine (K-ELM).

International journal of environmental health research Apr 27, 2019
Indoor fungal is of great significance for human health. The kernel-based extreme learning machine is employed to determine the most important parameters for predicting the concentration of indoor culturable fungi (ICF). For model training and statis...
Neural Networks, Computer Machine Learning China Environmental Monitoring Fungi Housing Air Microbiology
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Measuring social, environmental and health inequalities using deep learning and street imagery.

Scientific reports Apr 18, 2019
Cities are home to an increasing majority of the world's population. Currently, it is difficult to track social, economic, environmental and health outcomes in cities with high spatial and temporal resolution, needed to evaluate policies regarding ur...
Crime Humans Satellite Imagery Neural Networks, Computer Social Problems Deep Learning Employment Cities Health Status Disparities London Socioeconomic Factors Housing Income
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