Sensitivity studies of a four-dimensional local ensemble transform Kalman filter coupled with WRF-Chem version 3.9.1 for improving particulate matter simulation accuracy by J. Lin, J. Lin, T. Dai, L. Sheng, W. Zhang, S. Hai, Y. Kong

“…The promising results show that significant improvements have been made by analysis in the simulation of particulate matter during a severe haze event. …”
Get full text

Financial Sustainable Growth System 2030 Evidence from Russian and Chinese Gas Companies by A. N. Steblyanskaya, Zhen Wang, G. B. Kleiner, Z. V. Bragina, A. R. Denisov

“…The Lasso regression analysis method and the SARIMA model were used. The sustainable financial growth system index of oil and gas companies was substantiated. …”
Get full text

Unifying spatiotemporal and frequential attention for traffic prediction by Qi Guo, Qi Tan, Jun Tang, Benyun Shi

“…Abstract Intelligent transportation systems heavily rely on forecasting urban traffic flow, and a variety of approaches have been developed for this purpose. …”
Get full text

Significance of Cloud Microphysics and Cumulus Parameterization Schemes in Simulating an Extreme Flood-Producing Precipitation Event in the Central Himalaya by Ujjwal Tiwari, Andrew B. G. Bush

“…Precipitation was concentrated over the sub-Himalaya, and the established forecasting systems failed to predict the event. In this study, we evaluate the performance of six cloud microphysics schemes in the Weather Research and Forecasting (WRF) model forced with the advanced ERA5 dataset. …”
Get full text

Successful Precipitation Downscaling Through an Innovative Transformer-Based Model by Fan Yang, Qiaolin Ye, Kai Wang, Le Sun

“…The efficacy and superiority of our proposed approach are substantiated through a comparative analysis with several cutting-edge forecasting techniques. …”
Get full text

Development of a system for monitoring the technical condition of main mine ventilation fans by Gerike B.L., Dolzhko D.M., Ludzish V.S., Drozdenko Y.V.

“…Monitoring the state of the main ventilation fan units is a necessary element of forecasting both the current state and forecasting developing defects. …”
Get full text

Benchmarking and improving algorithms for attributing satellite-observed contrails to flights by A. Sarna, V. Meijer, R. Chevallier, A. Duncan, K. McConnaughay, S. Geraedts, K. McCloskey

“…The resulting performance metrics can be employed to understand the implications of using these observational data in downstream tasks, such as forecast model evaluation and the analysis of contrail avoidance trials, although the metrics do not directly quantify real-world performance. …”
Get full text

Research on a hybrid deep learning model based on two-stage decomposition and an improved whale optimization algorithm for air quality index prediction by Hangyu Zhou, Yongquan Yan

“…The Air Quality Index (AQI) is a crucial metric for assessing the severity of air pollution, making accurate AQI forecasting essential for air quality management. A hybrid deep learning model is developed for AQI prediction, incorporating two-stage decomposition and hyperparameter optimization. …”
Get full text

Observed Influences of Subpolar Front in the Japan/East Sea on Winter and Spring North Pacific Storm Track Activity by Peilong Yu, Shiyao Chen, Huijun Wang, Xiaopei Lin, Mingkeng Duan, Chao Zhang

Get full text

Groundwater level prediction using an improved SVR model integrated with hybrid particle swarm optimization and firefly algorithm by Sandeep Samantaray, Abinash Sahoo, Falguni Baliarsingh

“…The SVR-FFAPSO model performs best in GWL forecasting for Khuntuni station, according to the quantitative analysis with correlation coefficient (R) = 0.9978, Nash–Sutcliffe efficiency (NSE) = 0.9933, mean absolute error (MAE) = 0.00025 (m), root mean squared error (RMSE) = 0.00775 (m) during the training phase. …”
Get full text

Effectiveness of machine learning models in diagnosis of heart disease: a comparative study by Waleed Alsabhan, Abdullah Alfadhly

“…This article conducts an extensive examination of the efficacy of different machine learning (ML) and deep learning (DL) models in forecasting heart disease using tabular dataset, with a particular focus on a binary classification task. …”
Get full text

New prospects of uranium mineralisation of the Trans-Urals based on regional geochemical survey data by L. A. Krinochkin, O. K. Krinochkina, V. I. Blokov

“…The aim of this study is to identify and forecast new uranium ore regions that are promising for the discovery of industrial deposits of paleovalley type uranium.Materials and methods. …”
Get full text

Scientific toolkit for predictive efficiency management of railway transportation by D. A. Macheret, N. A. Valeev

“…The problem of uncertainty and early prediction of possible “breaking points” in the trends of changes in key performan ce indicators, which impedes long-term economic forecasting, is extremely serious, especially in such a capital-intensive industry as rail transport. …”
Get full text

Spatio-Temporal Graph Neural Networks for Streamflow Prediction in the Upper Colorado Basin by Akhila Akkala, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi, Pouya Hosseinzadeh, Ayman Nassar

“…The STGNN outperformed these models across multiple metrics, achieving an R² of 0.78, an RMSE of 0.81 mm/month, and a KGE of 0.79 at critical locations like Lees Ferry. A sequential analysis of input–output configurations identified the (36, 36) setup as optimal for balancing historical context and forecasting accuracy. …”
Get full text

Predicting the Performance of Students Using Deep Ensemble Learning by Bo Tang, Senlin Li, Changhua Zhao

“…Universities and schools rely heavily on the ability to forecast student performance, as it enables them to develop efficient strategies for enhancing academic results and averting student attrition. …”
Get full text

Military and Political Influence on the Portfolio of Global Reserve Currencies by M. Y. Alekseev, P. A. Kolyandra, B. M. Cheskidov

“…The research method is an analysis of the historical material and the current state of the issue under discussion. …”
Get full text

Study of Atmospheric Pollutants Concentration Correlation with Meteorological Quantities in Bandar Abbas by Marziyeh Sisipoor, Mehdi Rahnama, Saviz Sehat Kashani, Noshin Khodam, faezeh noori, Sajad Qahramani

Get full text

A Deep Longitudinal Model for Mild Cognitive Impairment to Alzheimer’s Disease Conversion Prediction in Low-Income Countries by Adeem Akhtar, Sidra Minhas, Nosheen Sabahat, Aasia Khanum

“…Our model presented regression forecasting MAE of 0.13 and classification accuracy of 86.9% with AUC of 92.1% (Sensitivity: 67.7%, specificity: 92.3%) over 5-fold cross-validation. …”
Get full text

Weakened relationship between November Barents-Kara sea ice and January Arctic Oscillation after the mid-1990s by Shuai Zheng, Peilong Yu, Bo Sun, Huijun Wang, Xiaopei Lin, Minghao Yang, Yudi Liu

Get full text

The differences of the institutional environment of the activities of firms of varying size on the example of ferrous metallurgy by A. A. Blokhin, S. Y. Dranev

Get full text