AIMC Topic: Temperature

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Machine learning and features for the prediction of thermal sensation and comfort using data from field surveys in Cyprus.

International journal of biometeorology Jul 27, 2022
Perception can influence individuals' behaviour and attitude affecting responses and compliance to precautionary measures. This study aims to investigate the performance of methods for thermal sensation and comfort prediction. Four machine learning a...
Humans Machine Learning Wind Cyprus Temperature Thermosensing
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LS-NTP: Unifying long- and short-range spatial correlations for near-surface temperature prediction.

Neural networks : the official journal of the International Neural Network Society Jul 22, 2022
The near-surface temperature prediction (NTP) is an important spatial-temporal forecast problem, which can be used to prevent temperature crises. Most of the previous approaches fail to explicitly model the long- and short-range spatial correlations ...
Attention Neural Networks, Computer Temperature Software
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Deep Learning Approach for Detection of Underground Natural Gas Micro-Leakage Using Infrared Thermal Images.

Sensors (Basel, Switzerland) Jul 16, 2022
The leakage of underground natural gas has a negative impact on the environment and safety. Trace amounts of gas leak concentration cannot reach the threshold for direct detection. The low concentration of natural gas can cause changes in surface veg...
Zea mays Natural Gas Temperature Deep Learning
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Effect of process parameters on the temperature changes during robotic bone drilling.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine Jul 12, 2022
In medical surgery, bone drilling is an inevitable procedure. The thermal necrosis in the drilling process can affect post-operative recovery. In this study, the method of drill bit precooling is proposed in bone drilling with robot assisted system. ...
Robotics Robotic Surgical Procedures Temperature Necrosis Orthopedic Procedures Bone and Bones Hot Temperature Humans
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Intelligent temperature modeling in robotic cortical bone milling process based on teaching-learning-based optimization algorithm.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine Jun 28, 2022
Bone milling is one of the most important and sensitive biomechanical processes in the field of medical engineering. This process is used in orthopedic surgery, dentistry, treatment of fractures, and bone biopsy. The use of automatic numerical contro...
Neural Networks, Computer Temperature Algorithms Robotic Surgical Procedures Fuzzy Logic Cortical Bone
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Prediction of Daily Ambient Temperature and Its Hourly Estimation Using Artificial Neural Networks in an Agrometeorological Station in Castile and León, Spain.

Sensors (Basel, Switzerland) Jun 27, 2022
This study evaluates the predictive modeling of the daily ambient temperature (maximum, T; average, T; and minimum, T) and its hourly estimation (T, …, T) using artificial neural networks (ANNs) for agricultural applications. The data, 2004-2010, wer...
Temperature Seasons Neural Networks, Computer Spain
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A Temperature Compensation Method for aSix-Axis Force/Torque Sensor Utilizing Ensemble hWOA-LSSVM Based on Improved Trimmed Bagging.

Sensors (Basel, Switzerland) Jun 25, 2022
The performance of a six-axis force/torque sensor (F/T sensor) severely decreased when working in an extreme environment due to its sensitivity to ambient temperature. This paper puts forward an ensemble temperature compensation method based on the w...
Least-Squares Analysis Torque Algorithms Support Vector Machine Temperature
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Deep learning based analysis of microstructured materials for thermal radiation control.

Scientific reports Jun 13, 2022
Microstructured materials that can selectively control the optical properties are crucial for the development of thermal management systems in aerospace and space applications. However, due to the vast design space available for microstructures with ...
Refractometry Machine Learning Neural Networks, Computer Deep Learning Temperature
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A Long Short-Term Memory Network for Plasma Diagnosis from Langmuir Probe Data.

Sensors (Basel, Switzerland) Jun 4, 2022
Electrostatic probe diagnosis is the main method of plasma diagnosis. However, the traditional diagnosis theory is affected by many factors, and it is difficult to obtain accurate diagnosis results. In this study, a long short-term memory (LSTM) appr...
Neural Networks, Computer Temperature
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Least square support vector machine-based variational mode decomposition: a new hybrid model for daily river water temperature modeling.

Environmental science and pollution research international May 23, 2022
Machines learning models have recently been proposed for predicting rivers water temperature (T) using only air temperature (T). The proposed models relied on a nonlinear relationship between the T and T and they have proven to be robust modelling to...
Support Vector Machine Rivers Temperature Water Environmental Monitoring Least-Squares Analysis
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