Integration of MRMR algorithm with advanced neural networks for modeling long-term crop water demand in agricultural basins by Ahmed Elbeltagi, Abdullah A. Alsumaiei, Ali Raza, Mustafa Al-Mukhtar, Salim Heddam

“…Overall, these findings underscore the robust capacity of the Wi-ANN model to forecast long-term AET at the studied sites. This approach offers a promising solution for enhancing irrigation practices and boosting agricultural productivity.…”
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An XGBoost Approach to Predictive Modelling of Rift Valley Fever Outbreaks in Kenya Using Climatic Factors by Damaris Mulwa, Benedicto Kazuzuru, Gerald Misinzo, Benard Bett

“…Although multiple empirical analyses have shown that machine learning methods outperform time series models in forecasting time series data, there is limited evidence of their application in predicting disease outbreaks in Africa. …”
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Outcomes and risk factors in HIV-positive patients with sepsis: a retrospective study by Qiang Gao, Tingting Wang, Shun Tan, Yu Tian, An Zhang

“…Abstract Purpose The aim of this study was to assess the outcomes and risk factors for in-hospital mortality and further explore a predictive model for forecasting in-hospital mortality in HIV-positive patients with sepsis. …”
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Application of geodetic and mine surveying technologies in monitoring deformations of man-made structures by Yu.O. Zabolotna, Ye.A. Koroviaka, O.A. Pashchenko, V.O. Rastsvietaiev

“…The integration of these technologies into digital geoinformation systems (GIS) and automated monitoring platforms significantly enhances the capability to model, forecast, and manage deformation processes at industrial sites, mining operations, dam structures, and urban territories. …”
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Deep Forest Modeling: An Interpretable Deep Learning Method for Mineral Prospectivity Mapping by Yue‐Lin Dong, Zhen‐Jie Zhang

“…The use of artificial intelligence and big data has advanced mineral prediction into intelligent forecasting. Machine learning methods have shown significant promise in enhancing outcomes. …”
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Coupling study on ecological resilience and urban-rural integrated development in China by Yue Wang, Mengfei Song, Siyan Zhu, Zhihui Jiang, Zhen Zhang

“…An LSTM network is used to forecast trends (2023-2030) and identify underlying patterns. …”
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Data‐Driven Feature Decomposition Integrated Prediction Model for Dust Concentration in Open‐Pit Mines by Shuangshuang Xiao, Jin Liu, Qing Yang, Zhiguo Chang, Yonggui Zhang

“…The decomposition ensemble prediction model can accurately forecast the dust concentration in open‐pit mines. …”
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An Adaptive Local Time-Stepping Method Applied to Storm Surge Inundation Simulation by Pubing Yu, Tao Ji, Xiuguang Wu, Yifan Chen, Guilin Liu

“…The proposed method holds significant promise for applications in storm surge forecasting, disaster assessment, and emergency management.…”
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Remote Sensing Techniques for Assessing Snow Avalanche Formation Factors and Building Hazard Monitoring Systems by Natalya Denissova, Serik Nurakynov, Olga Petrova, Daniker Chepashev, Gulzhan Daumova, Alena Yelisseyeva

“…A systematic literature review was conducted, focusing on studies published between 2010 and 2025. The analysis involved screening relevant studies on remote sensing, avalanche dynamics, and data processing techniques. …”
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Transformation of approaches to mineral resource auditing for augmentation of Russia’s wealth in the current political situation by D. A. Pavlovskiy, J. V. Zvorykina

“…A set of general scientific and special methods Y were used: forecasting methods to assess the state and prospects of financing geological exploration in the Russian Federation; methods of comparative analysis and synthesis, induction and deduction to study the international experience of auditing in the extractive industry.Results. …”
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Law as an innovative system: theoretical approach by M. V. Shugurov, A. A. Vasiliev

“…The methods of conducting this research include the formal logical method, historical and comparative legal methods, the method of systems analysis, the method of abstraction and the method of legal forecasting.The main scientific results. …”
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Evaluation of hematological parameters and alterations in burned patients by Afsona Parveen, Parthib Dey, Prithviraj Karak

“…For medical teams to forecast prognosis and treatment response, biochemical marker estimation is essential. …”
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Deciphering the Risk–Return Dynamics of Pharmaceutical Companies Using the GARCH-M Model by Arvinder Kaur, Kavita Chavali

“…This study focuses on the precise forecasting of stock price movement to determine returns, diversify risk, and demystify existing opportunities. …”
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THE IMPORTANCE OF FINANCIAL LEVER IN THE MANAGEMENT OF ALTERNATIVE ENERGY DEVELOPMENT by V. Metelytsya, O. Gubar, V. Chaban, O. Perederii, Y. Hryhorenko

“…The projection results for the period 2020—2035 presented in the article indicate significant changes in the consumption of fuel and energy resources by their types. The analysis of the forecast data proved that the predicted results can only be achieved by doubling the use of renewable energy during this period. …”
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The Use of Digital Technologies for the Purpose of Improving Methodological Approaches to the Creation of a Pharmaceutical Quality System at Enterprises for the Production of Medic... by V. V. Goryachkin, V. А. Smirnov, V. N. Shestakov, R. A. Abramovich

“…The state in the subject area was assessed on the basis of the results of economic and statistical analysis and forecasting of the implementation of PQS at Russian pharmaceutical enterprises that have positive and comparatively long experience in this area: the companies LLC "OZON" and JSC "AKRIKHIN". …”
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Applying machine learning to gauge the number of women in science, technology, and innovation policy (STIP): a model to accommodate missing data by Caitlin Meyer, Du Baogui, Mohamed Amin Gouda

“…Interestingly, countries without formal quota systems demonstrated superior performance metrics (median: 0.3675; mean: 0.3676) compared to those with quotas. Furthermore, the analysis revealed a critical disconnect between STEM participation rates and policymaking leadership roles, evidenced by a weak correlation (r = 0.11) between these domains. …”
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Designing and Evaluation of a Plasmid Encoding Immunogenic Epitopes From Echinococcus granulosus Eg95-1-6, P29, and GST Against Hydatid Cyst in BALB/c Mice by Sasan Khazaei, Abdolhossein Dalimi, Majid Pirestani, Fatemeh Ghafarifar

“…Expression in HEK-293 cells was successfully achieved, as evidenced by the detection of a 37 kDa protein band in the western blot analysis. Vaccine doses, especially the 100 μg concentration, alone or in combination with an adjuvant, induced a T-helper 1 (Th1)–type immune response. …”
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Individual protective actions with social support seeking in an online health community: two observational cross-sectional studies during public health emergencies by Shanshan Guo, Yun Chen, Yuanyuan Dang, Xiao Li

“…Environmental and social cues related to emergency situations are measured using disaster early forecast information and the volume of social media discussions on the emergency. …”
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Toward Standardised Construction Pipeline Data: Conceptual Minimum Dataset Framework by Elrasheid Elkhidir, James Olabode Bamidele Rotimi, Tirth Patel, Taofeeq D. Moshood, Suzanne Wilkinson

“…Despite the increasing availability of construction pipeline datasets in NZ, their limited clarity, interoperability, and standardisation impede effective forecasting, policy development, and investment alignment. …”
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Leveraging machine learning to evaluate the effect of raw materials on the compressive strength of ultra-high-performance concrete by Mohamed Abdellatief, G. Murali, Saurav Dixit

“…This study presents an approach to forecasting the compressive strength (CS) of UHPC, ranging from 270 kg/m³ to 750 kg/m³, by employing advanced machine learning techniques. …”
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