AIMC Topic: 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 ...
Temperature Spatio-Temporal Analysis Humans Machine Learning Hot Temperature Humidity Global Warming Environmental Monitoring Taiwan
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Design of vacuum annealing furnace temperature control system based on GA-Fuzzy-PID algorithm.

PloS one Nov 29, 2023
As is well known, the metal annealing process has the characteristics of heat concentration and rapid heating. Traditional vacuum annealing furnaces use PID control method, which has problems such as high temperature fluctuation, large overshoot, and...
Temperature Algorithms Vacuum Fuzzy Logic Computer Simulation
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Optimization of catalytic wet air oxidation process in microchannel reactor for TBBS wastewater treatment.

Environmental technology Nov 24, 2023
Catalytic wet air oxidation (CWAO) process is employed for the treatment of N-tert-butyl-2-benzothiazolesulfenamide (TBBS) wastewater in a microchannel reactor that enables continuous operation of the reaction and allows for thorough mixing of oxygen...
Neural Networks, Computer Water Pollutants, Chemical Oxidation-Reduction Benzothiazoles Air Catalysis Temperature Waste Disposal, Fluid Wastewater Water Purification
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Uncovering developmental time and tempo using deep learning.

Nature methods Nov 23, 2023
During animal development, embryos undergo complex morphological changes over time. Differences in developmental tempo between species are emerging as principal drivers of evolutionary novelty, but accurate description of these processes is very chal...
Embryonic Development Biological Evolution Animals Deep Learning Temperature
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Urban surface classification using semi-supervised domain adaptive deep learning models and its application in urban environment studies.

Environmental science and pollution research international Nov 21, 2023
High-resolution urban surface information, e.g., the fraction of impervious/pervious surface, is pivotal in studies of local thermal/wind environments and air pollution. In this study, we introduced and validated a domain adaptive land cover classifi...
Air Pollution Environmental Monitoring Air Pollutants Temperature Deep Learning China Cities
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Development of a PAT platform for the prediction of granule tableting properties.

International journal of pharmaceutics Nov 15, 2023
In this work, the feasibility of implementing a process analytical technology (PAT) platform consisting of Near Infrared Spectroscopy (NIR) and particle size distribution (PSD) analysis was evaluated for the prediction of granule downstream processab...
Neural Networks, Computer Least-Squares Analysis Calibration Temperature Spectroscopy, Near-Infrared
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Crack control optimization of basement concrete structures using the Mask-RCNN and temperature effect analysis.

PloS one Oct 5, 2023
In order to enhance the mitigation of crack occurrence and propagation within basement concrete structures, this research endeavors to propose an optimization methodology grounded in the Mask Region-based Convolutional Neural Network (Mask-RCNN) and ...
Neural Networks, Computer Finite Element Analysis Durable Medical Equipment Algorithms Temperature
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Wearable Bioimpedance-Based Deep Learning Techniques for Live Fish Health Assessment under Waterless and Low-Temperature Conditions.

Sensors (Basel, Switzerland) Sep 30, 2023
(1) Background: At present, physiological stress detection technology is a critical means for precisely evaluating the comprehensive health status of live fish. However, the commonly used biochemical tests are invasive and time-consuming and cannot s...
Deep Learning Flatfishes Wearable Electronic Devices Biomedical Technology Temperature Animals
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Physics-informed neural network for fast prediction of temperature distributions in cancerous breasts as a potential efficient portable AI-based diagnostic tool.

Computer methods and programs in biomedicine Sep 29, 2023
This work presents the development of a novel Physics-Informed Neural Network (PINN) method for fast forward simulation of heat transfer through cancerous breast models. The proposed PINN method combines deep learning and physical principles to predi...
Humans Neural Networks, Computer Female Temperature Artificial Intelligence Breast Neoplasms Physics
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Anthropogenic fingerprints in daily precipitation revealed by deep learning.

Nature Aug 30, 2023
According to twenty-first century climate-model projections, greenhouse warming will intensify rainfall variability and extremes across the globe. However, verifying this prediction using observations has remained a substantial challenge owing to lar...
Neural Networks, Computer Tropical Climate Temperature Climate Models Global Warming Pacific Ocean Hydrology Human Activities Deep Learning Rain Weather
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