Results 11 to 20 of about 11,164 (213)
Vertical wind speed extrapolation using statistical approaches [PDF]
The wind power industry has experienced a significant increase and popularity in recent times, and the latest statistics indicate that this sector is still thriving.
Nuha Hilal H. +4 more
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A new accuracy measure based on bounded relative error for time series forecasting. [PDF]
Many accuracy measures have been proposed in the past for time series forecasting comparisons. However, many of these measures suffer from one or more issues such as poor resistance to outliers and scale dependence.
Chao Chen +2 more
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Precipitation is considered a crucial component in the hydrological cycle and changes in its spatial pattern directly influence the water resources.
Ruting Yang, Bing Xing
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Background Tuberculosis (TB) is the respiratory infectious disease with the highest incidence in China. We aim to design a series of forecasting models and find the factors that affect the incidence of TB, thereby improving the accuracy of the incidence ...
Enbin Yang +5 more
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A bike-sharing demand prediction model based on Spatio-Temporal Graph Convolutional Networks [PDF]
Shared bikes, as an eco-friendly transport mode, facilitate short commutes for urban dwellers and help alleviate traffic. However, the prevalent station-based strategy for bike placements often overlooks urban zones, cycling patterns, and more, resulting
Chaoran Zhou +4 more
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Comparative analysis of machine learning approaches to analyze and predict the COVID-19 outbreak [PDF]
Background Forecasting the time of forthcoming pandemic reduces the impact of diseases by taking precautionary steps such as public health messaging and raising the consciousness of doctors.
Muhammad Naeem +5 more
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Estimating plant physiological indicators with remote sensing technology is critical for ensuring precise field management. Compared with other remote sensing platforms, low-altitude unmanned aerial vehicles (UAVs) produce images with high spatial ...
Shiyuan Liu +11 more
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Prediction of air quality index based on the SSA-BiLSTM-LightGBM model
The air quality index (AQI), as an indicator to describe the degree of air pollution and its impact on health, plays an important role in improving the quality of the atmospheric environment.
Xiaowen Zhang, Xuchu Jiang, Ying Li
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Evaluation of load forecasting using different models
This paper addresses a new prediction of load technique that joins the adaptability of RNNs with the capabilities of temporal modelling of Kolmogorov–Arnold Recurrent with good accuracy, because in energy management, load forecasting is essential since ...
Saroj Kumar Panda, Bishwajit Dey
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Support vector regression (SVR) is a well-established kernel-based method for nonlinear regression. However, standard SVR formulations minimize absolute-error losses, which are not consistent with the scale-free, relative-accuracy criteria prevalent in ...
Pablo Benavides-Herrera +3 more
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