[HTML][HTML] A review of neural networks for air temperature forecasting
The accurate forecast of air temperature plays an important role in water resources
management, land–atmosphere interaction, and agriculture. However, it is difficult to …
management, land–atmosphere interaction, and agriculture. However, it is difficult to …
Quantitative theory of magnetic interactions in solids
This review addresses the method of explicit calculations of interatomic exchange
interactions of magnetic materials. This involves exchange mechanisms normally referred to …
interactions of magnetic materials. This involves exchange mechanisms normally referred to …
[HTML][HTML] Forecasting global climate drivers using Gaussian processes and convolutional autoencoders
Abstract Machine learning (ML) methods have become an important tool for modelling and
forecasting complex high-dimensional spatiotemporal datasets such as those found in …
forecasting complex high-dimensional spatiotemporal datasets such as those found in …
Prediction of hourly air temperature based on CNN–LSTM
J Hou, Y Wang, J Zhou, Q Tian - Geomatics, Natural Hazards and …, 2022 - Taylor & Francis
The prediction accuracy of hourly air temperature is generally poor because of random
changes, long time series, and the nonlinear relationship between temperature and other …
changes, long time series, and the nonlinear relationship between temperature and other …
[HTML][HTML] Deep learning ensembles for accurate fog-related low-visibility events forecasting
In this paper we propose and discuss different Deep Learning-based ensemble algorithms
for a problem of low-visibility events prediction due to fog. Specifically, seven different Deep …
for a problem of low-visibility events prediction due to fog. Specifically, seven different Deep …
MFFNet: Multi-dimensional Feature Fusion Network based on attention mechanism for sEMG analysis to detect muscle fatigue
Y Zhang, S Chen, W Cao, P Guo, D Gao… - Expert Systems with …, 2021 - Elsevier
Muscle fatigue detection based on surface Electromyography (sEMG) is one of the essential
goals of human–computer interaction. The main challenge is that the sEMG signal is …
goals of human–computer interaction. The main challenge is that the sEMG signal is …
Attention based long-term air temperature forecasting network: ALTF Net
Air temperature is one of the most important meteorological parameters related with
atmospheric and environmental research. In this context, accurate prediction and forecasting …
atmospheric and environmental research. In this context, accurate prediction and forecasting …
Recurrent neural network modeling of multivariate time series and its application in temperature forecasting
EA Nketiah, L Chenlong, J Yingchuan, SA Aram - Plos one, 2023 - journals.plos.org
Temperature forecasting plays an important role in human production and operational
activities. Traditional temperature forecasting mainly relies on numerical forecasting models …
activities. Traditional temperature forecasting mainly relies on numerical forecasting models …
A Novel WD-SARIMAX model for temperature forecasting using daily delhi climate dataset
Forecasting is defined as the process of estimating the change in uncertain situations. One
of the most vital aspects of many applications is temperature forecasting. Using the Daily …
of the most vital aspects of many applications is temperature forecasting. Using the Daily …
[HTML][HTML] Modelling long-term thermal comfort conditions in urban environments using a deep convolutional encoder-decoder as a computational shortcut
Different urban microscale models exist to model street-level mean radiation temperature (T
mrt). However, these models are computationally expensive, albeit to varying degrees. We …
mrt). However, these models are computationally expensive, albeit to varying degrees. We …