Assessing the role of material substitution in cost reduction and demand mitigation for sustainable wind energy infrastructure by Samuel Chukwujindu Nwokolo

“…The methodology combines historical trend analysis, growth forecasting using nonlinear regression, and scenario-based projections to model future demand patterns. …”
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Estimation of CO₂ Emissions in Transportation Systems Using Artificial Neural Networks, Machine Learning, and Deep Learning: A Comprehensive Approach by Seval Ene Yalçın

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An optimization-based analytics model for sustainable and blockchain-enabled supply chains in uncertain environments by S. Priyan

“…The carbon footprint is highly uncertain and directly impacts demand forecasting, with uncertainty arising from both positive and negative perspectives. …”
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Research methodology for analyzing transformation of higher pedagogical education today by Pisareva, Svetlana A., Tryapitsina, Alla P.

“…This study aims to describe the methodological foundations for qualitative research of pedagogical reality, with a focus on the subsequent application of scenario forecasting. The research employs various methods , including theoretical and discursive analysis, ranking results from a survey of teachers (N = 800) working at universities and institutes implementing teacher training programs (Volgograd, Vologda, Moscow, Omsk, St. …”
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MEDICO-GEOGRAPHICAL ASSESSMENT ECOLOGICAL-DEPENDENT INCIDENCE OF ADOLESCENT AND CHILD POPULATION OF THE REPUBLIC OF DAGESTAN by A. G. Gasangadzhieva, P. I. Gabibova, M. G. Daudova, S. N Mirzoeva

“…The main methods of the research was currentand retrospective analysis of indicators of regional health mapping method, mathematical and cartographic modeling, methods of medico-geographical analysis. …”
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An Exploratory Application of Machine Learning Algorithms in Estimating Net Salaries in Romania by Adriana Aiftincăi

“…The paper contributes to the integration and use of artificial intelligence methods in macroeconomic forecasting and labor market analysis. Its practical utility lies in its potential to serve as a forecasting tool for wage policies, a support for employers in budget planning, and a foundation for extending the analysis to regional or sectoral levels. …”
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Implementing GitHub Actions continuous integration to reduce error rates in ecological data collection by Albert Y. Kim, Valentine Herrmann, Ross Barreto, Brianna Calkins, Erika Gonzalez‐Akre, Daniel J. Johnson, Jennifer A. Jordan, Lukas Magee, Ian R. McGregor, Nicolle Montero, Karl Novak, Teagan Rogers, Jessica Shue, Kristina J. Anderson‐Teixeira

“…Abstract Accurate field data are essential to understanding ecological systems and forecasting their responses to global change. Yet, data collection errors are common, and data analysis often lags far enough behind its collection that many errors can no longer be corrected, nor can anomalous observations be revisited. …”
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Strata pressure behavior law and regional-level intelligent early warning for high-intensity mining in extended working faces of medium-thick coal seams in Yuheng mining area by Feng CUI, Cheng ZONG, Xingping LAI, Tao XIE, Yunhu BAI, Yi ZHANG, Chong JIA, Hao WANG, Zhong LUO, Hao LIU

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Time series analysis of malaria in pregnancy, using wavelet and SARIMAX models. by Dolapo Oluwaseun Oniyelu, Olaiya Folorunsho, Lawrence Adewole, Emmanuel Afolabi Bakare, Chukwu Okoronkwo, Nelson Eze, with ICAMMDA Team

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Predicting Price Trends in the Wheat Market Using Technical Analysis Indicators by Paweł Oktaba, Małgorzata Grzywińska-Rąpca

“…The parameters of two technical analysis indicators, modified from their default settings, were used to forecast price trends. …”
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Trends in Global Agricultural Carbon Emission Research: A Bibliometric Analysis by Jinhao Hu, Jianhua Dong, Dan Xu, Qiliang Yang, Jiaping Liang, Na Li, Haipeng Wang

“…Drawing on the Web of Science core collection, this paper develops a knowledge network framework, examines the current status and hotspots of agricultural carbon emissions, forecasts future development trends, and analyzes the findings using CiteSpace visualization software. …”
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HuiShangGPT in the discussion on the trend of seismicity?. by Jing Huang, Shi Chen, Zhongliang Wu

“…This system, still in the conceptual stage, aims to integrate AI into the empirical approaches traditionally used in earthquake forecasting. The proposed HuiShangGPT system would not only assist in the comprehensive analysis of seismic data but also contribute to the expert panel discussions, enhancing the decision-making process. …”
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METHODOLOGICAL FOUNDATION OF STRATEGIC PLANNING IN THE RUSSIAN FEDERATION by O. V. Morozov, M. A. Vasiliev, A. G. Biryukov

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Sustainable Cold Chain Management: An Evaluation of Predictive Waste Management Models by Hajar Fatorachian, Kulwant Pawar

“…The integration of advanced predictive models is pivotal for optimizing demand forecasting and inventory management in cold chain logistics. …”
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A Day-Ahead Optimal Battery Scheduling Considering the Grid Stability of Distribution Feeders by Umme Mumtahina, Sanath Alahakoon, Peter Wolfs

“…This study presents a comprehensive framework for optimizing energy management systems by integrating advanced methodologies for weather forecasting, energy cost analysis, and grid stability using a mixed-integer linear programming (MILP) algorithm. …”
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The methodology of law enforcement policy by M. Kleymenov, D. Erokhin

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Effects of track and rolling stock interaction on track condition and maintenance by Oleg A. Suslov

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Cloud-Integrated Meteorological Parameter Prediction by Leveraging Multivariate Statistical Time Series and GANs by Archana Rout, Biswa Ranjan Senapati, Debahuti Mishra

“…Hence, the present work predicts six important meteorological parameters using the vector autoregression model (VAR), vector moving average model (VMA), vector autoregression moving average model (VARMA), and cointegrated vector autoregression model (CVAR). The comparative analysis demonstrates the superior performance of the CVAR model over other models, as measured by the normalized mean square error (nMSE) and normalized root mean square error (nRMSE) for a single parameter (2.12, 0.3) and (1.21, 0.24) for both the cities, in forecasting all the specified meteorological parameters.…”
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Impact of Self-driving Cars for Urban Development by Aleksey Zomarev, Maria Rozhenko

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New model for selection of applicants at the universities in the conditions Smart-society by Alexandr S. Molchanov, Tatiana G. Kalashnikova

“…System functionality includes:– monitoring of the environment (demography, economics, education);– work with targets;– analysis of the previous route and its correlation with the target;– control and fixing the trajectory of learning;– additional control and validation competencies as the demand for an employer or educational institution, and at the request of the trainees;– forecasting and calculation of several route options, with a choice for the student’s request.Taking into account the changes in society and the division of labor, as well as a set of really existing and planned information systems, we can conclude the feasibility of practical implementation of the proposed model. …”
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