Results 21 to 30 of about 147,000 (286)
BMC Infectious Diseases, 2022 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
doaj +1 more source
Comparative analysis of machine learning approaches to analyze and predict the COVID-19 outbreak [PDF]
PeerJ Computer Science, 2021 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
doaj +2 more sources
Learning the relationship between galaxies spectra and their star formation histories using convolutional neural etworks and cosmological simulations [PDF]
, 2019 We present a new method for inferring galaxy star formation histories (SFH) using machine learning methods coupled with two cosmological hydrodynamic simulations.
Acquaviva, Viviana +5 more
core +2 more sources
A bike-sharing demand prediction model based on Spatio-Temporal Graph Convolutional Networks [PDF]
PeerJ Computer ScienceShared 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
doaj +2 more sources
, 2020 The objective of the industry in general, and of the chemical industry in particular, is to satisfy consumer demand for products and the best way to satisfy it is to forecast future sales and plan its operations.
M. Estrada +6 more
semanticscholar +1 more source
Remote Sensing, 2023 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
doaj +1 more source
What accuracy statistics really measure [PDF]
, 2001 Provides the software estimation research community with a better understanding of the meaning of, and relationship between, two statistics that are often used to assess the accuracy of predictive models: the mean magnitude relative error (MMRE) and the ...
B.A. Kitchenham +9 more
core +1 more source
Prediction of air quality index based on the SSA-BiLSTM-LightGBM model
Scientific Reports, 2023 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
doaj +1 more source
Testing Measurement Invariance with Ordinal Missing Data: A Comparison of Estimators and Missing Data Techniques [PDF]
, 2019 Ordinal missing data are common in measurement equivalence/invariance (ME/I) testing studies. However, there is a lack of guidance on the appropriate method to deal with ordinal missing data in ME/I testing.
Chen, Po-Yi +4 more
core +2 more sources
Evaluation of load forecasting using different models
Measurement: EnergyThis 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
doaj +1 more source