AIMC Topic: Humidity

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Machine learning-based analysis and prediction of meteorological factors and urban heatstroke diseases.

Frontiers in public health Jul 22, 2024
INTRODUCTION: Heatstroke is a serious clinical condition caused by exposure to high temperature and high humidity environment, which leads to a rapid increase of the core temperature of the body to more than 40°C, accompanied by skin burning, conscio...
Humans Machine Learning Forecasting Humidity Heat Stroke Meteorological Concepts Cities Hot Temperature China Incidence
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Improving the operational forecasts of outdoor Universal Thermal Climate Index with post-processing.

International journal of biometeorology Mar 5, 2024
The Universal Thermal Climate Index (UTCI) is a thermal comfort index that describes how the human body experiences ambient conditions. It has units of temperature and considers physiological aspects of the human body. It takes into account the effec...
Temperature Wind Machine Learning Forecasting Climate Humans Linear Models Neural Networks, Computer Humidity Thermosensing Slovenia
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Evaluating long-term and high spatiotemporal resolution of wet-bulb globe temperature through land-use based machine learning model.

Journal of exposure science & environmental epidemiology Dec 16, 2023
BACKGROUND: The increase in global temperature and urban warming has led to the exacerbation of heatwaves, which negatively affect human health and cause long-term loss of work productivity. Therefore, a global assessment in temperature variation is ...
Taiwan Hot Temperature Spatio-Temporal Analysis Environmental Monitoring Humidity Global Warming Machine Learning Temperature Humans
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Plant-Like Tropisms in Artificial Muscles.

Advanced materials (Deerfield Beach, Fla.) May 14, 2023
Helical plants have the ability of tropisms to respond to natural stimuli, and biomimicry of such helical shapes into artificial muscles has been vastly popular. However, the shape-mimicked actuators only respond to artificially provided stimulus, th...
Muscles Textiles Humidity Movement Robotics
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Exploration of the intelligent-auxiliary design of architectural space using artificial intelligence model.

PloS one Mar 3, 2023
In order to carry out a comprehensive design description of the specific architectural model of AI, the auxiliary model of AI and architectural spatial intelligence is deeply integrated, and flexible design is carried out according to the actual situ...
Humidity Artificial Intelligence Industry Hydrolases Intelligence
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Recent Advances in Multiresponsive Flexible Sensors towards E-skin: A Delicate Design for Versatile Sensing.

Small (Weinheim an der Bergstrasse, Germany) Nov 25, 2021
Multiresponsive flexile sensors with strain, temperature, humidity, and other sensing abilities serving as real electronic skin (e-skin) have manifested great application potential in flexible electronics, artificial intelligence (AI), and Internet o...
Humans Sweat Artificial Intelligence Electronics Wearable Electronic Devices Humidity
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Analysis on frosting of heat exchanger and numerical simulation of heat transfer characteristics using BP neural network learning algorithm.

PloS one Sep 2, 2021
The study is aimed at the frosting problem of the air source heat pump in the low temperature and high humidity environment, which reduces the service life of the system. First, the frosting characteristics at the evaporator side of the air source he...
Models, Theoretical Computer Simulation Heating Electrical Equipment and Supplies Freezing Air Water Neural Networks, Computer Humidity Hot Temperature Machine Learning
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Global soil moisture data derived through machine learning trained with in-situ measurements.

Scientific data Jul 12, 2021
While soil moisture information is essential for a wide range of hydrologic and climate applications, spatially-continuous soil moisture data is only available from satellite observations or model simulations. Here we present a global, long-term data...
Machine Learning Soil Humidity Environmental Monitoring
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Application of the Deep Neural Network in Retrieving the Atmospheric Temperature and Humidity Profiles from the Microwave Humidity and Temperature Sounder Onboard the Feng-Yun-3 Satellite.

Sensors (Basel, Switzerland) Jul 8, 2021
The shallow neural network (SNN) is a popular algorithm in atmospheric parameters retrieval from microwave remote sensing. However, the deep neural network (DNN) has a stronger nonlinear mapping capability compared to SNN and has great potential for ...
Neural Networks, Computer Microwaves Humidity Temperature China
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Developing machine learning models for relative humidity prediction in air-based energy systems and environmental management applications.

Journal of environmental management May 13, 2021
The prediction of relative humidity is a challenging task because of its nonlinear nature. The machine learning-based prediction strategies have attained significant attention in tackling a broad class of challenging nonlinear and complex problems. T...
Machine Learning Conservation of Natural Resources Algorithms Humidity Data Mining
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