AIMC Topic: Temperature

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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 ...
Durable Medical Equipment Temperature Neural Networks, Computer Finite Element Analysis Algorithms
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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...
Temperature Animals Biomedical Technology Flatfishes Deep Learning Wearable Electronic Devices
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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...
Breast Neoplasms Physics Neural Networks, Computer Female Humans Artificial Intelligence Temperature
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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...
Hydrology Tropical Climate Rain Global Warming Climate Models Deep Learning Weather Pacific Ocean Human Activities Neural Networks, Computer Temperature
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Acid-resistant enzymes: the acquisition strategies and applications.

Applied microbiology and biotechnology Aug 24, 2023
Enzymes have promising applications in chemicals, food, pharmaceuticals, and other variety products because of their high efficiency, specificity, and environmentally friendly properties. However, due to the complexity of raw materials, pH, temperatu...
Temperature Pharmaceutical Preparations Artificial Intelligence Enzymes Enzymes, Immobilized Protein Engineering
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Thermal Time Constant CNN-Based Spectrometry for Biomedical Applications.

Sensors (Basel, Switzerland) Jul 25, 2023
This paper presents a novel method based on a convolutional neural network to recover thermal time constants from a temperature-time curve after thermal excitation. The thermal time constants are then used to detect the pathological states of the ski...
Skin Humans Thermography Neural Networks, Computer Temperature
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Predicting Critical Properties and Acentric Factors of Fluids Using Multitask Machine Learning.

Journal of chemical information and modeling Jul 24, 2023
Knowledge of critical properties, such as critical temperature, pressure, density, as well as acentric factor, is essential to calculate thermo-physical properties of chemical compounds. Experiments to determine critical properties and acentric facto...
Neural Networks, Computer Machine Learning Temperature Transition Temperature
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Spatiotemporal characteristics of carbon emissions in Shaanxi, China, during 2012-2019: a machine learning method with multiple variables.

Environmental science and pollution research international Jul 10, 2023
Global warming attributed to the emission of greenhouse gases has caused unprecedented extreme weather events, such as excessive heatwave and rainfall, posing enormous threats to human life and sustainable development. China, as the toppest CO emitte...
Carbon Dioxide Spatial Analysis Economic Development Cities Temperature Humans Carbon China Machine Learning
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ABTCN: an efficient hybrid deep learning approach for atmospheric temperature prediction.

Environmental science and pollution research international Jul 7, 2023
Temperature prediction is an important and significant step for monitoring global warming and the environment to save and protect human lives. The climatology parameters such as temperature, pressure, and wind speed are time-series data and are well ...
Global Warming Humans Temperature Cluster Analysis Deep Learning Benchmarking
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Physics-Guided Generative Adversarial Networks for Sea Subsurface Temperature Prediction.

IEEE transactions on neural networks and learning systems Jul 6, 2023
Sea subsurface temperature, an essential component of aquatic wildlife, underwater dynamics, and heat transfer with the sea surface, is affected by global warming in climate change. Existing research is commonly based on either physics-based numerica...
China Physics Neural Networks, Computer Machine Learning Temperature
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