Simulation Modeling of Technological Processes of Logging by Konstantin P. Rukomojnikov, Tatiana V. Sergeeva, Tatiana A. Gilyazova, Evgeny М. Tsarev, Vera P. Komisar

Subjects: “…computer support for managerial decision-making…”
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Process empowerment for robust intrinsic motivation by Stas Tiomkin, Christoph Salge, Daniel Polani

Subjects: “…information processing in dynamical control systems…”
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Industry Connect Initiative Experience Report: Undergraduate Computer Science Courses by Bonnie Achee, Ghassan Alkadi, Matthew McNulty

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Using Data-Driven Computer Vision Techniques to Improve Wheat Yield Prediction by Merima Smajlhodžić-Deljo, Madžida Hundur Hiyari, Lejla Gurbeta Pokvić, Nejra Merdović, Faruk Bećirović, Lemana Spahić, Željana Grbović, Dimitrije Stefanović, Ivana Miličić, Oskar Marko

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PROSES BERPIKIR KOMPUTASIONAL SISWA BERDASARKAN PRIOR KNOWLEDGE by Gunawan Gunawan, Joko Purwanto, Fitrianto Eko Subekti

Subjects: “…computational thinking…”
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Numerical Analysis of Cold Spray Process for Creation of Pin Fin Geometries by Najim Nasire, Mehdi Jadidi, Ali Dolatabadi

“…A numerical study was performed to analyze the particle deposition of a cold spray process for the preparation of nickel electrocatalysts used in the Hydrogen Evolution Reaction (HER). …”
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Didactic potential of using systems for visualization of algorithms in the process of teaching programming by V. D. Moglan

Subjects: “…computer science…”
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Effect of Different Parameter Values for Pre-processing of Using Mammography Images by Hanife Avcı, Jale Karakaya

Subjects: “…computer-assisted…”
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Process of Copper Slag Reduction in an Electric Furnace and the Possibilities of Its Modelling by Radosław Zybała, Sławomir Golak, Tomasz Sak, Piotr Madej

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Task Offloading and Computation in Hybrid uRLLC and eMBB Cognitive Radio Enabled 5G Based Multiuser Edge Computing by Akinbode A. Olawole, Fambirai Takawira, Chabalala S. Chabalala

Subjects: “…Computational task offloading…”
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Cooperative Dew Computing for Computational Offloading in Healthcare Monitoring by Tabinda Salam, Waheed Ur Rehman, Ikram Ud Din, Ahmad Almogren, Mubarak Mohammed Al Ezzi Sufyan, Kainat, Muhammad Yasar Khan, Ayman Altameem

“…Healthcare monitoring systems face computational demands due to the processing of data from wearable sensors, which are constrained by limited resources and often affected by connectivity issues for data offloading. …”
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Dynamic computing offloading strategy in LEO constellation edge computing network by GAO Yufang, JI Zhi, ZHAO Kanglian, LI Wenfeng, HU Peicong

“…In satellite edge computing networks, when too many ground users access the satellite through the same channel, the resulting co-channel interference will lead to edge computing performance degradation. …”
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Research of working process of vortex expansion machine with side channel by Bondar A. V., Vaneev S. M.

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Monte–Carlo Techniques Applied to CGH Generation Processes and Their Impact on the Image Quality Obtained by Juan A. Magallón, Alfonso Blesa, Francisco J. Serón

“…These calculations often result in excessively long development times or, at worst, render the process unfeasible. In order to reduce computational time, Partial Monte–Carlo Sampling (PMCS) techniques for CGH generation are presented, integrating them into the whole process of generating a CGH for a synthetic 3D scene, from design to rendering. …”
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Chopin: An open source R-language tool to support spatial analysis on parallelizable infrastructure by Insang Song, Kyle P. Messier

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Editorial: Advances in computer vision: from deep learning models to practical applications by Hancheng Zhu, Rui Yao, Lu Tang

Subjects: “…computer vision…”
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Implementation of Kolmogorov–Arnold Networks for Efficient Image Processing in Resource-Constrained Internet of Things Devices by Anargul Shaushenova, Oleksandr Kuznetsov, Ardak Nurpeisova, Maral Ongarbayeva

“…This research investigates the implementation of Kolmogorov–Arnold networks (KANs) for image processing in resource-constrained IoTs devices. KANs represent a novel neural network architecture that offers significant advantages over traditional deep learning approaches, particularly in applications where computational resources are limited. …”
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Automatic morphology phenotyping of tetra- and hexaploid wheat spike using computer vision methods by A. Yu. Pronozin, A. A. Paulish, E. A. Zavarzin, A. Yu. Prikhodko, N. M. Prokhoshin, Yu. V. Kruchinina, N. P. Goncharov, E. G. Komyshev, M. A. Genaev

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Photonic Bayesian Neural Networks: Leveraging Programmable Noise for Robust and Uncertainty‐Aware Computing by Yangyang Zhuge, Zhihao Ren, Zian Xiao, Zixuan Zhang, Xinmiao Liu, Weixin Liu, Siyu Xu, Chong Pei Ho, Nanxi Li, Chengkuo Lee

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FPGA‐Based Design of Ultra‐Efficient Approximate Adders for High‐Fidelity Image Processing: A Logic‐Optimized Approach by Ramakrishna Reddy Eamani, N. Vinodhkumar, Ambe Harrison, Wulfran Fendzi Mbasso

Subjects: “…approximate computing…”
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