Do Machine Learning and Business Analytics Approaches Answer the Question of ‘Will Your Kickstarter Project be Successful? by Murat Kılınç, Can Aydın, Çiğdem Tarhan

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GENERALISED ANALYSIS OF A DYNAMIC SYSTEM FOR THE PRESENCE OF SIGNS OF THE JORDAN FORM by R.A. NEYDORF, N.H. PHAN

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Dynamic pricing with waiting and price-anticipating customers by Fabian Lange, Rainer Schlosser

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δ-perturbation of bilevel optimization problems: An error bound analysis by Margarita Antoniou, Ankur Sinha, Gregor Papa

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Design and Control Strategy for a Solar -Powered Autonomous Underwater Vehicle with an Unconventional Shape by Yu Chunliang, Chen Yuxiang, Zhu Hong, Xiong Hong, Lunyang Lin, Xing Yiyang, Zheng Guodong

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Web Application for Mathematical Modeling of Unsteady Oil Flow in Porous Medium by A. A. Mazitov

“…The analysis and interpretation of hydrodynamic research data are based on theoretical models and computational algorithms. …”
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Analysing and Forecasting the Energy Consumption of Healthcare Facilities in the Short and Medium Term. A Case Study by Ali Koç, Serap Ulusam Seçkiner

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Self‐Learning e‐Skin Respirometer for Pulmonary Disease Detection by Anand Babu, Getnet Kassahun, Isabelle Dufour, Dipankar Mandal, Damien Thuau

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Identification of the Optimal Model for the Prediction of Diabetic Retinopathy in Chinese Rural Population: Handan Eye Study by Shanshan Jin, Xu Zhang, Hanruo Liu, Jie Hao, Kai Cao, Caixia Lin, Mayinuer Yusufu, Na Hu, Ailian Hu, Ningli Wang

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Influence of stiffness of the mechanical part of the drive and cutting parameters on the shaping elastic deformation control by V. L. Zakovorotny, V. Е. Gvindjiliya, А. А. Zakalyuzhny

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Prediction of electricity production by small wind power using artificial neural networks by Justyna Zalewska-Lesiak, Mateusz Oszczypała, Jerzy Małachowski

“…There has been a growing interest in research in the field of wind energy. In this article, an artificial neural network method is used to evaluate the forecasting of wind energy production from a small wind turbine (SWT) installed in central Poland, reflecting inland wind conditions.MethodsA comprehensive set of algorithms and results from simulations are presented. …”
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A Novel Double Machine Learning Strategy for Producing High‐Precision Multi‐Source Merging Precipitation Estimates Over the Tibetan Plateau by Yi Lyu, Bin Yong

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Evaluation of the elastic modulus of pavement layers using different types of neural networks models by M. M.M. Elshamy, A. N. Tiraturyan, E. V. Uglova

“…Based on the performance parameters, it was concluded that among these algorithms, the feed-forward model has a better performance compared to the other three ANN types. …”
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Construction of the miRNA/Pyroptosis-Related Molecular Regulatory Axis in Abdominal Aortic Aneurysm: Evidence From Transcriptome Data Combined With Multiple Machine Learning Approa... by Yongchao Su, Chuangang Lu, Shuchen Chen

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Metabolomic Profiling Reveals Serum Tryptophan as a Potential Therapeutic Target for Systemic Lupus Erythematosus by Wang K, Zhu R, Xu M, Zhu K, Li J, Li C, Meng D, Chen H, Sun L

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Application and Challenges of Artificial Intelligence in Different Branches of Dentistry by Ali Mirzaei, Melika Mollaei, Anahita Lotfizadeh, Mehdi Aryana, Alireza Ebrahimpour

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Combined Use of Multiple Cloud‐Free Snow Cover Products in China and Its High‐Mountain Region: Implications From Snow Cover Identification to Snow Phenology Detection by Longhui Zhang, Hongbo Zhang, Xueyan Sun, Lun Luo

“…Multiple cloud‐free daily snow cover products have recently been developed in China, employing diverse retrieval algorithms and cloud‐gap‐filling methods, resulting in varying accuracy levels. …”
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Analysis of a Four-Legged Robot Kinematics during Rotational Movements of Its Body by M. J. Fernando, G. R. Saypulaev, M. R. Saypulaev

“…To provide high precision in controlling their movement, it is required to develop mathematical models and algorithms for planning the robot movement along various trajectories. …”
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Does a Meta-Combining Method Lead to More Accurate forecasts in the decision-making process? by Emrah Gulay, Serkan Aras

“…To improve forecasting accuracy, researchers employed various combination techniques for a long time. …”
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Accelerated composition-process-properties design of precipitation-strengthened copper alloys using machine learning based on Bayesian optimization by Longjian Li, Jinchuan Jie, Xiaoyu Guo, Gaojie Liu, Huijun Kang, Zongning Chen, Enyu Guo, Tongmin Wang

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