Mechanical Performance of Steel- Slag and Lime-Modified Asphalt Mixture: A Response Surface Approach by Daniel Oguntayo, Olumide Ogundipe, Oluwasegun Aluko, Olawale Aransiola

“…This study uses RSM to forecast the mechanical characteristics of mixtures modified with steel slag and lime. …”
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Data Mining of 24-Hour Cumulative Precipitation Data in Iran Using Machine Learning: Multilayer Perceptron Neural Network and Decision Tree by mozaffar faraji, Majid Rezaii Banafsheh Daragh, Behroz sarisarraf, Ali Mohammad Khorshid Dust

“…Conclusions: The use of machine learning, especially neural networks, is effective in analyzing hydrological data in Iran and can help improve precipitation forecasting systems.…”
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Structural health monitoring and evaluation method for an immersed tunnel based on deep learning by Yuhang Wei, Jinfang Hou, Linhu Yang, Bin Li, Zonghao Ma, Zhao Liu, Wenhao Sun, Binlei Wang

“…Three correlation analysis techniques are employed to calculate correlation coefficients, thereby identifying the parameters that exert the most significant influence on structural health. …”
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Simulation of Flare Discharged from Oil Fields, Integration of Remote Sensing, Laboratory and Mathematical Models by Jafar A. Ali, Loghman Khodakarami, Brosk F. Ali

“…To address this issue, an in-depth analysis of the flame distribution from oil field flare stacks has been undertaken, focusing on assessing both the size and configuration of the flare. …”
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Research Trends in Workforce Planning in the Automotive Sector: A Comprehensive Review by Mufti Tahir Niyaz, Dejsi Qorri, Krisztián Kovács, Csilla Juhasz

“…Moreover, we conducted a comprehensive analysis regarding emerging topics related to strategic human resources, workforce planning and forecasting, employee wellness, and reskilling/upskilling. …”
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Assimilation of Chinese Doppler Radar and Lightning Data Using WRF-GSI: A Case Study of Mesoscale Convective System by Yi Yang, Ying Wang, Kefeng Zhu

“…Next, the reflectivity was used in the cloud analysis of GSI to adjust the cloud/hydrometeors and moisture. …”
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State-of-the-Art Review: Models and Algorithms for Optimal Power System Design, Stabilization, and Reliability Enhancement by Senele Njabulo Zwane, Bongumsa Mendu, Bessie Baakanyang Monchusi

“…The results also revealed that these algorithms are utilized for tasks such as optimal power system design, substation placement, parameter tuning for power system stabilizers, and load forecasting. The trends analysis further shows a notable shift towards learning algorithms, indicating an increasing interest in data-driven approaches to improve system performance. …”
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Influence of masticatory function on food preferences and cognitive performance in centenarians: an observational study by Katia Rupel, Matteo Biasotto, Filomena Vella, Giulia Ottaviani, Roberto Di Lenarda, Mauro Tettamanti, Gabriella Marcon

“…Abstract Introduction Demographic projections forecast that centenarians’ population growth will continue. …”
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Yield of spring barley depending on the hydrothermal conditions of vegetation in the conditions of the Middle Trans-Urals by D. S. Fomin, N. N. Yarkova, S. S. Polyakova

“…For the variant without mineral fertilizers: Y = -0.080X2 + 0.5844X + 2.5506, where Y is the predicted yield, t/ha, X is the hydrothermal coefficient of June. The accuracy of forecasting the yield of spring barley by the hydrothermal coefficient of June is 77.89 %.…”
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Machine Learning in Public Governance: A Systematic Review of Applications, Trends and Challenges by Y. Nuruly, G. N. Sansyzbayeva, L. Z. Ashirbekova, S. K. Tazhiyeva

“…Today, the active implementation of machine learning (hereinafter – ML) methods in public administration opens up new opportunities for forecasting, impact assessment and decision support, while simultaneously generating various challenges. …”
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A Novel Monitoring Method of Wind-Induced Vibration and Stability of Long-Span Bridges Based on Permanent Scatterer Interferometric Synthetic Aperture Radar Technology by Jiayue Ma, Xiaojun Xue, Guoliang Zhi, Haoyang Zheng, Hanqing Zhu

“…By leveraging the spatial accuracy and long-term monitoring capability of PS-InSAR, along with the time-series forecasting strength of ARMA models, the method enables data-driven analysis of bridge vibrations. …”
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«Ecological Economy»: The Most Important Aspect of the Ideology of the Global Commons in Supporting Sustainable Socio-Economic Development by N. G. Gadzhiev, S. A. Konovalenko, M. N. Trofimov, R. A. Kornilovich, Kh. G. Akhmedova

“…The study was conducted using a range of theoretical research methods, including analysis, deduction and forecasting.Discussion. The basis of the Global Commons ideology is considered to be the "green economy", a new technological modality, the purpose of which is the careful and rational utilisation of available resources employing high technologies for the maximum satisfaction of people's needs. …”
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Influence of Geometrical Design on Defect Formation of Commercial Al-Si-Cu-Mg Alloy Fabricated by High-Pressure Diecasting: Structural Observation and Simulation Validation by Warda Bahanan, Siti Fatimah, Dong-Ju Kim, I Putu Widiantara, Jee-Hyun Kang, Young Gun Ko

“…Because the associated work primarily relies on technical experience, it is necessary to perform the structural analysis of the HPDed component in comparison with simulation-based findings that forecast flow behavior, hence reducing trial and error for optimization. …”
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Method Used to Study Passenger Traffic Flows at the Network-Wide and Regional Levels of the Railway Traffic Management Complex by E. A. Makarova, K. V. Surzhin, A. V. Sokolovskiy, S. B. Elizarov, A. G. Piunov

“…Long-distance passenger traffic volumes, forecasted continuity of traffic demand evolution, seasonal factors and competitiveness degree of passenger traffic flow routes were adopted as criteria of railway lines” multidimentional classification. …”
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ANN and machine learning based predictions of MRR in AWSJ machining of CFRP composites by K. Ramesha, N. Santhosh, B. A. Praveena, Banakara Nagaraj, N. Channa Keshava Naik, Quadri Noorulhasan Naveed, Ayodele Lasisi, Anteneh Wogasso Wodajo

“…Among the predictive models, XGBoost demonstrated the highest accuracy and efficiency in forecasting MRR, while Random Forest and ANN provided competitive performance. …”
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Material characteristic of Vetvisty creek placer gold and prospects for atypical-source deposits in the middle course of the Selennyakh river (Momsky and Abyisky district, Yakutia) by A. M. Prasolov, O. V. Vladimirtseva

“…In addition, new models should be developed for forecasting and prospecting of atypical placer deposits, with gold sources from Tertiary sediments filling large Cenozoic depressions in the western rim of the Yano-Indigirskaya lowland).…”
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Biosynthesis, applications, and mathematical modeling dynamics of lactic acid bacteria exopolysaccharides: A review by Ankit Barot, Kalyan Das, Yogesh Patel, et al.

“…Global models, such as flux balance analysis (FBA), integrate genome-scale networks to predict cellular behavior and optimize production conditions. …”
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A Comparative Study of COVID-19 Dynamics in Major Turkish Cities Using Fractional Advection–Diffusion–Reaction Equations by Larissa Margareta Batrancea, Dilara Altan Koç, Ömer Akgüller, Mehmet Ali Balcı, Anca Nichita

“…These findings provide valuable insights for public health policy and urban planning, offering a tailored forecasting tool for epidemic management.…”
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Regional-scale intelligent optimization and topography impact in restoring global precipitation data gaps by Jiahan Wang, Jiaqi Chen, Peng Shen, Xiaoling Guan, Xiangmei Liu, Christian Massari, Zongzhi Wang, Mingming Feng, Qingxuan Wang, Youbei Lu, Ersa Wei, Yonghao Wang, Gulomjon Umirzakov, Bin Yong

“…These findings suggest that the proposed approach holds strong potential for future applications in storm monitoring and flood forecasting, especially in mountainous regions with sparse observational data.…”
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Tau seeding activity in the cerebrospinal fluid of Alzheimer disease patients predicts short-term cognitive decline by Ludivine Houzé, Marc Dhenain, Suzanne Lam, Fanny Petit, Stéphane Haïk, François Mouton-Liger, Jacques Hugon, Julie Dam, Claire Paquet, Ralf Jockers, Erika Cecon

“…Conclusions These results suggest that seeding activity might be a relevant biomarker to forecast AD pathogenicity and clinical progression.…”
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