Optimization of Business Processes in E-Commerceusing Artificial Intelligence Methods and Algorithms by E. S. Piskun, D. V. Nuansengsy, E. N. Kotsko

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Modeling Time Series with SARIMAX and Skew-Normal and Zero-Inflated Skew-Normal Errors by M. Alejandro Dinamarca, Fernando Rojas, Claudia Ibacache-Quiroga, Karoll González-Pizarro

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Forecasting tuberculosis in Ethiopia using deep learning: progress toward sustainable development goal evidence from global burden of disease 1990–2021 by Zinabu Bekele Tadese, Fetlework Gubena Arage, Tigist Kifle Tsegaw, Eyob Akalewold Alemu, Tsegasilassie Gebremariam Abate, Eliyas Addisu Taye

“…Method Study employed secondary data analysis from the Global Burden of Disease database (1990–2021) to forecast tuberculosis incidence in Ethiopia. …”
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Forecasting seasonal influenza-like illness in South Korea after 2 and 30 weeks using Google Trends and influenza data from Argentina. by Soo Beom Choi, Insung Ahn

“…To validate selected input variables, the autoregressive moving average, including exogenous variables (ARMAX) models were used to forecast seasonal ILI after 2 and 30 weeks with a three-year window for the training set used in the fixed rolling window analysis. …”
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Enhancing air quality index forecast with string reduction, entropy weight and similarity measure using K-means clustering for fuzzy inference system by Kulandhainadar Mariavalavan Ordenshiya, Govindasamy Krishnamoorthy Revathi

“…Statistical analysis is performed against traditional AQI prediction methods and the FIS without rule reduction (FIS-WORR) model. …”
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The burden and etiologies of diarrhea in Asia and its countries from 1990 to 2021 and the forecast to 2040: analyses informed by the global burden of disease study 2021 by Shan Liu, Zhiping Wu, Qingyu An, Jun Wu, Jinjian Bai, Wei Sun, Linan Guo, Luxi Gong

“…To forecast the burden for diarrhea from 2022 to 2040, we used Bayesian Age-Period-Cohort (BAPC) model. …”
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Role of lymphocyte-to-C-reactive protein ratio in forecasting microvascular obstruction in ST-segment elevation myocardial infarction post-percutaneous coronary intervention by Jiahua Liu, Xinjia Du, Yanfei Ren, Yan Mei, Lei Chen, Yuan Lu

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A Long-Term CO₂ Emission Forecasting Under Sustainability Policy Using an Advanced Model Complementing the PAARIMAX Framework by Pruethsan Sutthichaimethee, Worawat Sa-Ngiamvibool, Prapita Thanarak, Jianhui Luo, Supannika Wattana

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Novel methods for selecting stock portfolio in conditions of uncertainty and forecasting with RR-DEA, ANFIS, FGP: A case study of Tehran stock exchange. by Mohammadmahdi Taheri, Amir Azizi, Emran Mohammadi, Abbas Saghaei

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Assessment of Normalized Difference Vegetation Index based vegetation dynamics for monitoring rice growth and yield forecasting in the Mahaweli H region of Sri Lanka by Ganewatte Visal P., Abannikov Victor N., De Seram Osanda L., Wijayaratne Bimasha S., Vichare Aniket S.

“…This study analyzes the possible relationship between Normalized Difference Vegetation Index values and rice yield in the subregions of the Mahaweli H agricultural zone in the North Central part of Sri Lanka. The analysis focuses on the Maha season (September– March), which is driven by the Northeast monsoon and is the main rice growing season in this region. …”
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Comparative Forecasting of Some Key Economic Indicators Using Artificial Neural Networks and Ordinary Differential Equations: A Case Study of the Turkish Economy by Bahatdin Daşbaşı, Murat Taşyürek

“…The ODE model, on the other hand, provided a holistic analysis by capturing the time-dependent relationships among all four variables simultaneously. …”
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A 30-yr high-resolution weather research and forecasting model downscaling data over California and NevadaWorld Data Center for Climate by Charles Jones, Donald D. Lucas, Allison Bagley, Callum Thompson

“…We used WRF and European Centre for Medium-Range Weather Forecasts Reanalysis v5 as initial and boundary conditions to generate gridded meteorological variables. …”
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BiCA-LI: A Cross-Attention Multi-Task Deep Learning Model for Time Series Forecasting and Anomaly Detection in IDC Equipment by Zhongxing Sun, Yuhao Zhou, Zheng Gong, Cong Wen, Zhenyu Cai, Xi Zeng

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A Phase-Cum-Time Variant Fuzzy Time Series Model for Forecasting Non-Stationary Time Series and Its Application to the Stock Market by A. J. Saleena, C. Jessy John, G. Rubell Marion Lincy

“…Non-stationary time series plays a prominent role in the analysis of performance time series of many real-world systems. …”
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Accurate forecasting in acute ischemic stroke: innovative nomogram models for early neurological deterioration and 90-day prognosis outcomes following intravenous thrombolysis by Lai Wei, Xiang Zhou, Zhenyuan Zhou, Kangwei Zhang, Jinxi Meng, Xiyi Huang, Xiaoyan Wu, Peijun Wang

“…Multivariate logistic regression analysis was employed to construct nomogram models for the prediction of outcomes. …”
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A Novel Model with GA Evolving FWNN for Effluent Quality and Biogas Production Forecast in a Full-Scale Anaerobic Wastewater Treatment Process by Zehua Huang, Renren Wu, XiaoHui Yi, Hongbin Liu, Jiannan Cai, Guoqiang Niu, Mingzhi Huang, Guangguo Ying

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Future of Russia: Macroeconomic Scenarios in the Global Context by Elena Abramova, Alexander Apokin, Dmitry Belousov, Kirill Mikhailenko, Elena Penukhina, Alexander Frolov

“…Since S&T and broader socio-economic processes are closely interrelated, the new macroeconomic forecasting is a key building block for updating Russian Long-Term S&T Foresight; it is carried out by the Center for Macroeconomic Analysis and Short-Term Forecasting (CMASF). …”
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The Crucial Role of the Initial State in MJO Prediction by L. Bengtsson, S. N. Tulich, J. Dias, B. Wolding, K. J. C. Hall, M. Gehne, G. N. Kiladis, P. Pegion

“…Model runs initialized with two independent reanalyses show significant and systematic differences in MJO circulation amplitude that emerge rapidly and persist over the 15‐day forecast period. Additional analysis suggests the reason is due to differences in the initial atmospheric static stability. …”
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Dengue dynamics in India: Harnessing auto regressive integrated moving average model for predictive insights by Sashikanta Tripathy, Amit Kumar Mishra, Manisha Ruikar

“…Objectives: The current study was done to analyse the trend of Dengue in India and to forecast Dengue cases and deaths in India. Methods: The study employed a time series analysis approach, collecting Dengue data from 1999 to 2023 from the National Health Profile and NVBCDCP. …”
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EVALUATION OF MANUSCRIPTS FOR ADOPTION INTO PUBLISHING HOUSE PRODUCTION by Denis P. Oleynikov, Lyudmila N. Butenko, Sergey P. Oleynikov

“…To solve the problem of forecasting the optimal circulation authors developed corresponding technique.…”
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