AIMC Topic: 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...
Artificial Intelligence Temperature Protein Engineering Enzymes Enzymes, Immobilized Pharmaceutical Preparations
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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 Temperature Thermography Humans Neural Networks, Computer
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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 Temperature Machine Learning 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...
Spatial Analysis Economic Development Carbon Carbon Dioxide Cities Machine Learning Humans China Temperature
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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 ...
Deep Learning Cluster Analysis Temperature Global Warming Benchmarking Humans
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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...
Physics Machine Learning Neural Networks, Computer China Temperature
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Techno-economic optimization of a new waste-to-energy plant for electricity, cooling, and desalinated water using various biomass for emission reduction.

Chemosphere Jul 3, 2023
A newly developed waste-to-energy system using a biomass combined energy system designed and taken into account for electricity generation, cooling, and freshwater production has been investigated and modeled in this project. The investigated system ...
Artificial Intelligence Temperature Water Biomass Electricity
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Thermally trainable dual network hydrogels.

Nature communications Jun 22, 2023
Inspired by biological systems, trainable responsive materials have received burgeoning research interests for future adaptive and intelligent material systems. However, the trainable materials to date typically cannot perform active work, and the tr...
Polymers Hydrogels Temperature Robotics
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Rapid Prediction of a Liquid Structure from a Single Molecular Configuration Using Deep Learning.

Journal of chemical information and modeling Jun 12, 2023
Molecular dynamics simulation is an indispensable tool for understanding the collective behavior of atoms and molecules and the phases they form. Statistical mechanics provides accurate routes for predicting macroscopic properties as time-averages ov...
Molecular Conformation Deep Learning Temperature Neural Networks, Computer Molecular Dynamics Simulation
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Study of the Feasibility of Decoupling Temperature and Strain from a -PA-OFDR over an SMF Using Neural Networks.

Sensors (Basel, Switzerland) Jun 12, 2023
Despite several existing techniques for distributed sensing (temperature and strain) using standard Single-Mode optical Fiber (SMF), compensating or decoupling both effects is mandatory for many applications. Currently, most decoupling techniques req...
Fiber Optic Technology Neural Networks, Computer Algorithms Feasibility Studies Temperature
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