Information support of CAD of technological processes of structurally complex product prototypes by A. V. Petukhov

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Simulation of separation and air classification processes of aerodisperse systems in the shelving device by Varukha D. A., Smirnov V. А., Edl M., Demianenko M. M., Yukhymenko M. P., Pavlenko I. V., Liaposhchenko O. O.

“…The following paper considers the process of classification of polydisperse free-flowing material according to granulometric composition using a gravitational air classificator. …”
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Modelling of Separation and Air Classification Processes of Aerodisperse Systems in the Shelving Device by Varukha D. A., Smirnov V. А., Edl M., Demianenko M. M., Yukhymenko M. P., Pavlenko I. V., Liaposhchenko O. O.

“…The following paper considers the process of classification of polydisperse free-flowing material according to granulometric composition using a gravitational air classificator. …”
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RELIABILITY ANALYSIS OF COMPUTER NETWORKS USING PARAMETRIC FAILURE CRITERIA by Oleg A. Tkachev

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COMPUTERIZED OPTICAL EXPERIMENTS WITH PORTABLE SPECTROMETERS AND AMAZON WEB SERVICES CLOUD INTEGRATION by Andriy Krupych, Ivan Karbovnyk

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Deterministic Asynchronous Threshold-Based Opinion Dynamics in Signed Weighted Graphs by Miriam Di Ianni

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THE DEVELOPMENT OF PURE-SYSTOLIC ALGORITHM FOR COMPUTING NUMBER-THEORETIC TRANSFORMS OF SIGNALS by Ekaterina Viktorovna Toporkova, Maksim Igorevich Kalmykov, Elena Pavlovna Stepanova, Dmitry Vladimirovich Yurdanov, Igor Anatolyevich Kalmykov

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A Decentralized Framework for Radio-interferometric Image Reconstruction by S. Wang, S. Mignot, S. Prunet, L. Di Mascolo, M. Spinelli, A. Ferrari

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INNOVATIVE DEVELOPMENT OF INSURANCE ACTIVITY AS BASIS FOR INCREASING ITS EFFICIENCY by R. Pikus, V. Zakolodiazhny

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Enhanced trajectory reconstruction from sparse and noisy GPS data: A progressive chunked transformer approach by Yonghui Liu, Qian Li, Inhi Kim

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Bayesian Inference of Hidden Cognitive Performance and Arousal States in Presence of Music by Saman Khazaei, Md Rafiul Amin, Maryam Tahir, Rose T. Faghih

Subjects: “…Affective computing…”
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Comparative analysis of software optimization methods in context of branch predication on GPUs by I. Yu. Sesin, R. G. Bolbakov

Subjects: “…general-purpose computing for graphical processing units…”
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Unlocking Bioethanol Production Potential: A Computational Exploration of Agri-Food Waste Valorization in Circular Bioeconomy Using Metagenomic Mining and Process Prediction Tools by Radu Tamaian, Corina-Teodora Ciucure, Elisabeta-Irina Geană

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A Preliminary Study on Computer Aided Process Planning for Generating Additive Manufacturing Products via 3D/4D/5D Printing by Izzah Nadhilah Ilias, Mohd Salman Abu Mansor

“…This paper presents an integrated CAD/CAM system that can be used for Computer Aided Process Planning to interact or automate 3D/4D/5D printing process towards Industry 5.0. …”
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Numerical Investigation on Flow and Thermal Characteristics of Spray Evaporation Process in Boiler Desuperheater by Jianqing Wang, Baoqing Liu, Bin Du, Kaifei Wu, Qi Lin, Bohai Liu, Minghui Cheng

Subjects: “…computational fluid dynamics…”
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On Signifiable Computability: Part II: An Axiomatization of Signifiable Computation and Debugger Theorems by Vladimir A. Kulyukin

“…Signifiable computability aims to separate what is theoretically computable from what is computable through performable processes on computers with finite amounts of memory. …”
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Digital signal processing application in nuclear spectroscopy by O. V. Zeynalova, Sh. S. Zeynalov, F.-J. Hambsch, S. Oberstedt

“…The signal processing algorithms provided as recursive one- or multi-step procedures which can be easily programmed using modern computer programming languages. …”
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A computational grounded theory based analysis of research on China’s old-age social welfare system by Agudamu, Yingying Li, Na Mi, Xinyue Pan

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Computational fluid dynamic and machine learning modeling of nanofluid flow for determination of temperature distribution and models comparison by Farag M. A. Altalbawy, Ahmad Alkhayyat, Ramdevsinh Jhala, Anupam Yadav, T. Ramachandran, Aman Shankhyan, A. Karthikeyan, Dhirendra Nath Thatoi, Vladimir Vladimirovich Sinitsin

“…Abstract This paper introduces an approach to temperature prediction by employing three distinct machine learning models: K-Nearest Neighbors (KNN), Gaussian Process Regression (GPR), and Multi-layer Perceptron (MLP) which are integrated into Computational Fluid Dynamics (CFD). …”
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