AIMC Topic: Hot Temperature
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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 ...
Correlation between intraosseous thermal change and drilling impulse data during osteotomy within autonomous dental implant robotic system: An in vitro study.
Clinical oral implants research
Nov 29, 2023
OBJECTIVES: This study aims at examining the correlation of intraosseous temperature change with drilling impulse data during osteotomy and establishing real-time temperature prediction models.
The impact of thermal insulating materials in heat loss control in smart green buildings using experimental and swarm intelligent analysis.
Environmental science and pollution research international
Oct 17, 2023
The efficacy of saving energy standards depends on the ability to anticipate the heat loss of buildings. Environmentally friendly materials, also known as eco-friendly or sustainable materials, have a minimal negative impact on the environment throug...
Integrative soft computing approaches for optimizing thermal energy performance in residential buildings.
PloS one
Sep 8, 2023
As is known, early prediction of thermal load in buildings can give valuable insight to engineers and energy experts in order to optimize the building design. Although different machine learning models have been promisingly employed for this problem,...
Soil Moisture and Heat Level Prediction for Plant Health Monitoring Using Deep Learning with Gannet Namib Beetle Optimization in IoT.
Applied biochemistry and biotechnology
Aug 3, 2023
Plant health monitoring is crucial in ensuring a constant food supply to satisfy the growing demand for food. Hence, it is essential to monitor plant health to maximize the yield and minimize the risk of various diseases. Soil moisture and temperatur...
A Laser-Driven Microrobot for Thermal Stimulation of Single Cells.
Advanced healthcare materials
Jun 6, 2023
Here, the study presents a thermally activated cell-signal imaging (TACSI) microrobot, capable of photothermal actuation, sensing, and light-driven locomotion. The plasmonic soft microrobot is specifically designed for thermal stimulation of mammalia...
Machine and deep learning for modelling heat-health relationships.
The Science of the total environment
Jun 5, 2023
Extreme heat events pose a significant threat to population health that is amplified by climate change. Traditionally, statistical models have been used to model heat-health relationships, but they do not consider potential interactions between tempe...
Precise Fourier series and fuzzification method analysis of standardized thermal energy of solar box cooker performance: economic and environmental studies.
Environmental science and pollution research international
Jun 2, 2023
A solar cooker is essential for cooking nutrient-dense food as opposed to LPG, which is avoidable. In the current situation, the solar cooker's incorporation of a nanoparticle covering resulted in improved thermal performance and shorter cooking time...
Machine learning prediction of contents of oxygenated components in bio-oil using extreme gradient boosting method under different pyrolysis conditions.
Bioresource technology
Apr 8, 2023
This work aims to develop a prediction model for the contents of oxygenated components in bio-oil based on machine learning according to different pyrolysis conditions and biomass characteristics. The prediction model was constructed using the extrem...
Endoscopic Image Classification Based on Explainable Deep Learning.
Sensors (Basel, Switzerland)
Mar 16, 2023
Deep learning has achieved remarkably positive results and impacts on medical diagnostics in recent years. Due to its use in several proposals, deep learning has reached sufficient accuracy to implement; however, the algorithms are black boxes that a...
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