Results 11 to 20 of about 123,872 (245)

A Comparison of the Performance of Different Interpolation Methods in Replicating Rainfall Magnitudes under Different Climatic Conditions in Chongqing Province (China)

Atmosphere, 2021
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
doaj   +1 more source

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, Gawiser, Eric, Iyer, Kartheik G, Lovell, Christopher C, Thomas, Peter, Wilkins, Stephen M   +5 more
core   +2 more sources

Vertical wind speed extrapolation using statistical approaches [PDF]

FME Transactions
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., Balghonaim Adil, Pahlevi Rizka Reza, Rehman S., Mohandes M.   +4 more
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A multivariate multi-step LSTM forecasting model for tuberculosis incidence with model explanation in Liaoning Province, China

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, Hao Zhang, Xinsheng Guo, Zinan Zang, Zhen Liu, Yuanning Liu   +5 more
doaj   +1 more source

Confinement induces conformational transition of semiflexible polymer rings to figure eight form [PDF]

, 2010
Employing Monte Carlo simulations of semiflexible polymer rings in weak spherical confinement a conformational transition to figure eight shaped, writhed configurations is discovered and quantified.Comment: 6 pages, 5 ...
Alim, Arsuaga, Bauer, Cosentino Lagomarsino, Ercolini, Erwin Frey, Fuller, Gowers, Karen Alim, Katja Ostermeir, Klenin, Kratky, Maggs, Micheletti, Morrison, Norouzi, Ostermeir, Panyukov, Reisner, Sanchez, Schmid, Tang, Tobias, van den Broek, White, Witz   +25 more
core   +2 more sources

A bike-sharing demand prediction model based on Spatio-Temporal Graph Convolutional Networks [PDF]

PeerJ Computer Science
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, Jiahao Hu, Xin Zhang, Zerui Li, Kaicheng Yang   +4 more
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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, Jian Yu, Muhammad Aamir, Sajjad Ahmad Khan, Olayinka Adeleye, Zardad Khan   +5 more
doaj   +2 more sources

Quantification of Physiological Parameters of Rice Varieties Based on Multi-Spectral Remote Sensing and Machine Learning Models

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, Bin Zhang, Weiguang Yang, Tingting Chen, Hui Zhang, Yongda Lin, Jiangtao Tan, Xi Li, Yu Gao, Suzhe Yao, Yubin Lan, Lei Zhang   +11 more
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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

Evaluation of load forecasting using different models

Measurement: Energy
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
doaj   +1 more source