AIMC Topic: Temperature

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Predicting spatiotemporally-resolved mean air temperature over Sweden from satellite data using an ensemble model.

Environmental research Aug 28, 2021
Mapping of air temperature (Ta) at high spatiotemporal resolution is critical to reducing exposure assessment errors in epidemiological studies on the health effects of air temperature. In this study, we applied a three-stage ensemble model to estima...
Temperature Sweden Machine Learning Environmental Monitoring Research Design
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Capabilities of deep learning models on learning physical relationships: Case of rainfall-runoff modeling with LSTM.

The Science of the total environment Aug 25, 2021
This study investigates the relationships which deep learning methods can identify between the input and output data. As a case study, rainfall-runoff modeling in a snow-dominated watershed by means of a long short-term memory (LSTM) network is selec...
Seasons Snow Temperature Deep Learning
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Machine learning for manually-measured water quality prediction in fish farming.

PloS one Aug 18, 2021
Monitoring variables such as dissolved oxygen, pH, and pond temperature is a key aspect of high-quality fish farming. Machine learning (ML) techniques have been proposed to model the dynamics of such variables to improve the fish farmer's decision-ma...
Fisheries Water Hydrogen-Ion Concentration Linear Models Oxygen Machine Learning Water Quality Ammonia Temperature
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Heatstroke predictions by machine learning, weather information, and an all-population registry for 12-hour heatstroke alerts.

Nature communications Jul 28, 2021
This study aims to develop and validate prediction models for the number of all heatstroke cases, and heatstrokes of hospital admission and death cases per city per 12 h, using multiple weather information and a population-based database for heatstro...
Weather Heat Stroke Machine Learning Temperature Data Management Registries Humans
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Optimization of diosgenin extraction from Dioscorea deltoidea tubers using response surface methodology and artificial neural network modelling.

PloS one Jul 21, 2021
INTRODUCTION: Dioscorea deltoidea var. deltoidea (Dioscoreaceae) is a valuable endangered plant of great medicinal and economic importance due to the presence of the bioactive compound diosgenin. In the present study, response surface methodology (RS...
Temperature Models, Theoretical Dioscorea Neural Networks, Computer Time Plants, Medicinal Diosgenin Endangered Species Particle Size Plant Tubers Molecular Structure Chemical Fractionation Solvents Calibration
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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 Temperature Humidity China Microwaves
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Nuclear Quantum Effect and Its Temperature Dependence in Liquid Water from Random Phase Approximation via Artificial Neural Network.

The journal of physical chemistry letters Jul 7, 2021
We report structural and dynamical properties of liquid water described by the random phase approximation (RPA) correlation together with the exact exchange energy (EXX) within density functional theory. By utilizing thermostated ring polymer molecul...
Temperature Water Neural Networks, Computer Quantum Theory Models, Molecular Molecular Conformation
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Machine Learning for Sensorless Temperature Estimation of a BLDC Motor.

Sensors (Basel, Switzerland) Jul 7, 2021
In this article, the authors propose two models for BLDC motor winding temperature estimation using machine learning methods. For the purposes of the research, measurements were made for over 160 h of motor operation, and then, they were preprocessed...
Machine Learning Algorithms Linear Models Temperature Support Vector Machine
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Classification of abnormal location in medium voltage switchgears using hybrid gravitational search algorithm-artificial intelligence.

PloS one Jul 1, 2021
In power system networks, automatic fault diagnosis techniques of switchgears with high accuracy and less time consuming are important. In this work, classification of abnormal location in switchgears is proposed using hybrid gravitational search alg...
Humans Neural Networks, Computer Sound Electric Power Supplies Gravitation Temperature Artificial Intelligence Support Vector Machine Algorithms
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The Use of Collections of Artificial Neural Networks to Improve the Control Quality of the Induction Soldering Process.

Sensors (Basel, Switzerland) Jun 18, 2021
In industries that implement the technology of induction soldering, various sensors, including non-contact pyrometric ones, are widely used to control the technological process. The use of this type of sensor implies the need to choose a solution tha...
Heating Reproducibility of Results Spacecraft Neural Networks, Computer Temperature
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