A novel routing method for dynamic control in distributed computing power networks by Lujie Guo, Fengxian Guo, Mugen Peng

“…Driven by diverse intelligent applications, computing capability is moving from the central cloud to the edge of the network in the form of small cloud nodes, forming a distributed computing power network. …”
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Comparing AI and human decision-making mechanisms in daily collaborative experiments by Linghao Wang, Zheyuan Jiang, Chenke Hu, Jun Zhao, Zheng Zhu, Xiqun Chen, Ziyi Wang, Tianming Liu, Guibing He, Yafeng Yin, Der-Horng Lee

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COMPUTER MODELING IN THE DEVELOPMENT OF ARTIFICIAL VENTRICLES OF HEART by L. V. Belyaev, A. V. Zhdanov

“…Advanta- ges of application computer (CAD/CAE) technologies are shown by development of artificial ventricles of heart. …”
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The use of heat pipes in thermal control system for electronics: current situation and prospects by S. M. Khairnasov

“…Nowadays, heat pipes are widely used in the following areas: electronic equipment, special application computer equipment (from small computers to large data centres), high power electronics. …”
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Assessment of expected reliability of applied software for computer-based information systems by S. M. Borovikov, V. O. Kaziuchyts, V. V. Khoroshko, S. S. Dick, K. I. Klinov

“…., It is possible by use of proposed model to determine the predicted failure rate of the planned application computer program, and then the reliability of the computer-based information system as a whole. …”
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Traffic Load Impact on the Initiation and Development of Plastic Deformations in Road Asphalt Pavements by Laura Žiliūtė, Alfredas Laurinavičius

“…The up-to-date road pavement structure research methods and application computer programmes are based on the theory of elasticity. …”
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COMPUTER-TOMOGRAPHIC TECHNOLOGIES IN THE SURGERY OF ADRENAL GLANDS by N. A. Maistrenko, I. S. Zheleznyak, P. N. Romashchenko, S. G. Blyumina

“…The reasonability of application computed tomography (CT) in differential diagnostics of adrenal tumors and navigation of rational surgical approach for adrenalectomy was specified by possibilities of method development. …”
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The Relationship Between Traffic Flow Forecasting and Traffic Accident Forecasting and the Possible Combination Points by Wu Haoyu

“…Secondly, the differences between neural networks and traditional machine learning are compared in terms of model structure, feature extraction, applicability, computational resources and time, and model complexity'. …”
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Deep-Learning Framework for Efficient Real-Time Speech Enhancement and Dereverberation by Tomer Rosenbaum, Emil Winebrand, Omer Cohen, Israel Cohen

“…However, state-of-the-art methods often demand substantial computational resources, hindering their deployment on edge devices and in real-time applications. Computationally efficient approaches like deep filtering and Deep Filter Net offer an attractive alternative by predicting linear filters instead of directly estimating the clean speech. …”
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A Paired Database of Predicted and Experimental Protein Peptide Binding Information by Jazmine A. Torres, Chris A. Kieslich, Robert J. Pantazes

“…Abstract Peptides are important biomolecules, and their interactions with proteins make them useful in sensing and therapeutic applications. Computational peptide design methods can benefit from high-quality peptide-protein structures paired with thermodynamic data. …”
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A supply chain analytics approach for optimizing milk collection routing in multi-depot networks by Mattia Neroni, Marta Rinaldi

“…The proposed solutions are validated by using new benchmarks and tested in a set of real case applications. Computational experiments on real-life data are performed to investigate the performance of the heuristics varying the milk demand. …”
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Substrate-aware computational design of two-dimensional materials by Arslan Mazitov, Ivan Kruglov, Alexey V. Yanilkin, Aleksey V. Arsenin, Valentyn S. Volkov, Dmitry G. Kvashnin, Artem R. Oganov, Kostya S. Novoselov

“…Despite their use in combination with substrates in practical applications, computational studies often neglect the effects of substrate interactions for simplicity. …”
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Creativity in the education process of logistics students: a case study by Paweł Ślaski

“…Using Microsoft Excel spreadsheet, two procedures using Visual Basic for Applications computer programming were developed and verified in a case study based on quantitative data. …”
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A Powerful Approach in Visualization: Creating Photorealistic Landscapes with AI by Gusztáv Jakab, Enikő Magyari, Benedek Jakab, Gábor Timár

“…The methodology combines AI applications, computational techniques, and photographic methods to reconstruct the historical landscapes of the Great Hungarian Plain, one of Europe’s most significantly altered regions. …”
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GraphEPN: A Deep Learning Framework for B-Cell Epitope Prediction Leveraging Graph Neural Networks by Feng Wang, Xiangwei Dai, Liyan Shen, Shan Chang

“…Traditional experimental techniques are hindered by high costs, time consumption, and limited scalability, making them unsuitable for large-scale applications. Computational methods provide a promising alternative, enabling high-throughput screening and accurate predictions. …”
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Some Improvements on Good Lattice Point Sets by Yu-Xuan Lin, Tian-Yu Yan, Kai-Tai Fang

“…The performance of GGLP sets is evaluated in two applications: computer experiments and representative points, compared to the initial GLP sets. …”
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Surrogate-assisted optimization of roll-to-roll slot die coating by Christopher Passmore, Kai E. Wu, Jonathan R. Howse, George Panoutsos, Stephen J. Ebbens

“…Despite its advanced applications, computer-aided optimization remains underutilized, leaving potential performance improvements untapped. …”
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Prediction of gene expression in embryonic structures of Drosophila melanogaster. by Anastasia A Samsonova, Mahesan Niranjan, Steven Russell, Alvis Brazma

“…Here, we present a widely applicable computational approach, integrating developmental time-course microarray data with annotated in situ hybridisation studies, that facilitates the de novo prediction of tissue-specific expression for genes that have no in vivo gene expression localisation data available. …”
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A trigonometric function-based big data model for network information security control mechanisms by Bohan Zhang, Ruoyu Tan

“…In this paper, we will study the network security control method of a big data model of triangular fuzzy quotient function relationships and build a targeted and widely applicable computer network system security mat system with high practical value. …”
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Optimising the Selection of Input Variables to Increase the Predicting Accuracy of Shear Strength for Deep Beams by Mohammed Majeed Hameed, Faidhalrahman Khaleel, Mohamed Khalid AlOmar, Siti Fatin Mohd Razali, Mohammed Abdulhakim AlSaadi

“…Thus, the inclusion of the LWLR model with GAITH has demonstrated a reliable and applicable computer aid for modelling shear strength in deep beams.…”
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