The Model of Formation of Professional Competence of Future Software Engineers by Viktor Sedov

“…The model comprises units of training of future software engineers, identifies methodological approaches, a number of general didactic and methodological principles that underpin learning processes in higher education. …”
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Towards Machine Learning-Driven Catalyst Design and Optimization of Operating Conditions for the Production of Jet Fuel Via Fischer-Tropsch Synthesis by Parisa Shafiee, Bogdan Dorneanu, Harvey Arellano-Garcia

“…The random forest ML algorithm was evaluated for predicting CO conversion and C8-C16 selectivity using this dataset. Feature engineering identified the most significant descriptors influencing performance. …”
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Circumcision Surgery on YouTubeTM: A Quality Assessment by Şeref Coşer, İbrahim Güven Kartal, Halil İbrahim İvelik, Okan Alkış, Özgür Kazan, Mehmet Sevim, Bekir Aras

“…Results: A search for “circumcision” on Youtube™ search engine identified 800 videos, of which 155 videos were included in the study. …”
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Text-Conditioned Diffusion-Based Synthetic Data Generation for Turbine Engine Sensor Analysis and RUL Estimation by Luis Pablo Mora-de-León, David Solís-Martín, Juan Galán-Páez, Joaquín Borrego-Díaz

“…These components, combined with engine identifiers and cycle information, form compact 19 × 19 × 3 pixel images, later scaled to 512 × 512 × 3 pixels. …”
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Utilization of Ensemble Techniques in Machine Learning to Predict the Porosity and Hardness of Plasma-Sprayed Ceramic Coating by N. Radhika, M. Sabarinathan, S. Sivaraman

“…To address this challenge, the present study employs advanced machine learning ensemble techniques, including bagging, boosting, stacking, weighted averaging, voting, and hybrid methods, to accurately predict the porosity and hardness of plasma-sprayed ceramic coatings based on key process parameters. Feature engineering identifies input power and spray distance as the most influential factors affecting coating properties. …”
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Extraction of Building Construction Time Using the LandTrendr Model With Monthly Landsat Time Series Data by Tengyun Hu, Meng Zhang, Xuecao Li, Tinghai Wu, Qiwei Ma, Jianneng Xiao, Xieqin Huang, Jinchen Guo, Yangchun Li, Donglie Liu

“…Additionally, our improved algorithm in Google Earth Engine identified the maximum change time as the construction turning point at the pixel level. …”
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Noise Reduction Methods in the Vehicle Industry: Using Vibroacoustic Simulation for Sustainability by Krisztián Horváth, Ambrus Zelei

“…Capturing the current momentum of the industry, machine learning capabilities in vibroacoustic models can help engineers identify sources and eliminate or mitigate noise in the early design phase. …”
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Study on Mechanism of Factors Affecting Resilience of Prefabricated Building Supply Chain by Chi Zhang, Kun He, Wenjie Zhang, Ting Jin, Yibin Ao

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