Performance-Enhancing Market Risk Calculation Through Gaussian Process Regression and Multi-Fidelity Modeling by N. Lehdili, P. Oswald, H. D. Nguyen

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Exploring Flexible Penalization of Bayesian Survival Analysis Using Beta Process Prior for Baseline Hazard by Kazeem A. Dauda, Ebenezer J. Adeniyi, Rasheed K. Lamidi, Olalekan T. Wahab

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On-line computer determination of rate constants from stopped flow data by a nonlinear least square method by Andreas D. Zuberbühler, Thomas A. Kaden

“… The on-line data acquisition from a Durrum D 110 stopped flow spectrophotometer as well as the calculation of rate constants by a nonlinear least square program written for a Hewlett-Packard HP 9820 (or HP 9821) desktop computer is described. Two examples, a first order process and a two step consecutive reaction are used to illustrate the capability of the system. …”
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Computer-economical optimization method for solving inverse problems of determining electrophysical properties of objects in eddy current structroscopy by V. Ya. Halchenko, R. V. Trembovetska, V. V. Tychkov

“…These parameters can include the information about the results and quality of the production process or the effects of exposure to an aggressive environment. …”
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Universal point spread function engineering for 3D optical information processing by Md Sadman Sakib Rahman, Aydogan Ozcan

“…Our framework and analysis would be important for future advancements in computational imaging, sensing, and diffractive processing of 3D optical information.…”
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<i>Computational Nonlinear Morphology with Emphasis on Semitic Languages</i> George Anton Kiraz (Beth Mardutho: The Syriac Institute) Cambridge: Cambridge University Press (Studies in natural language processing, edited by Branimir Boguraev and Steven Bird), 2001, xxi+171 pp; hardbound, ISBN 0-521-63196-3, $60.00 by Markus Walther

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A computational and experimental method for determining the initial conditions of motion of foreign objects interacting with a surface vortex by E. V. Neskoromnyy, S. A. Borozdin, A. I. Yevdokimov

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Era- and Genre-Specific Stop Word Lists for Low-Resource Computational Research: A Classical Latin 'Exemplum' by Rachel E. Dubit, Annie K. Lamar

“…More broadly, the transdisciplinary and collaborative process by which these stop lists were created is of significant benefit to low-resource computational linguistics research teams.…”
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Cooperative Data Processing Algorithm Based on Mobile Agent in Wireless Sensor Networks by Shukui Zhang, Yong Sun, Jianxi Fan, He Huang

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Methodology for Studying Neural Network Descriptors in Solving the Problem of Finding Anatomical Layers in Computed Tomography Images of the Lungs by A. A. Kosareva

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About managing the number of simultaneously functioning software robots of different types by A. S. Zuev, D. A. Leonov

“…The initial data is obtained via the presented approach for determining the computational resource parameters for operating a single software robot. …”
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Modified generative adversarial network and Pseudo- Zernike matrix features extraction for human-computer interactive gesture recognition by Jing Yu, Lu Zhao

“…Gesture recognition aims to understand the dynamic gestures of human body, and is one of the most important interaction methods in the field of human-computer interaction. In order to improve the current situation that the existing gesture recognition algorithms need a lot of training data, this paper proposes a modified generative adversarial network (GAN) and Pseudo-Zernike matrix features extraction method to solve the problems of low recognition accuracy and complex recognition process. …”
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Developing a Computer Simulation Game as a Training Tool for Mine Self-Escape in Underground Coal Mine by Hendra Harisman*, Phillip Stothard, Nurul Aflah

“…Studies have shown that people retain more information when they are involved interactively in the learning process. In this research, a computer simulation game as a training tool for underground coal mine self-escaped has been successfully created using fire scenarios. …”
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Semantic influence of programming on the development of thinking of students: background, research and prospects by M. U. Mukasheva, Y. V. Payevskaya

“…A generalized structural interpretation of computational thinking and a hypothetical model of the semantic influence of programming on the development of computational thinking of students in schools have been developed.Preliminary conclusions were drawn that the level of digital competence of a modern teacher, his ability to integrate useful knowledge and interdisciplinary skills in the global information and educational space, as well as ensuring the continuity of the learning process, are ofparticular importance in the process of creating modern digital skills that contribute to the development of computational thinking at all levels of education.Conclusion. …”
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A novel EWMA-based adaptive control chart for industrial application by using hastings approximation by Muhammad Atif Sarwar, Muhammad Hanif, Fahad R. Albogamy, Muhammad Nabi

“…Abstract Control charts are commonly used for process monitoring under the assumption that the variable of interest follows a normal distribution. …”
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Street View Image-Based Road Marking Inspection System Using Computer Vision and Deep Learning Techniques by Junjie Wu, Wen Liu, Yoshihisa Maruyama

“…Considering this, we propose a road marking inspection system using computer vision and deep learning techniques with the aid of street view images captured by a regular digital camera mounted on a vehicle. …”
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Repeated computed tomography scanning reveals morphological development of burrows produced by the tiger pistol shrimp Alpheus bellulus. by Miyu Umehara, Koji Seike, Seishiro Furuyama

“…The use of CT scans in this study clarified the developmental process of the three-dimensional structure of A. bellulus burrows and is applicable to various burrow-producing organisms. …”
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Investigating the Bounds of Quality Factor for Class-E Series-Tuned RF Power Amplifiers and Their Computer-Aided Optimization by Pallab Kr Gogoi, Ayan Sharma, Jurgen Vanhamel, Jérôme Loicq

“…Finally, a novel methodology using harmonic termination is proposed, simplifying the design process by eliminating the need for traditional load-pull extraction methods.…”
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Compensating Sparse-view Inline Computed Tomography Artifacts with Neural Representation and Incremental Forward-Backward Network Architecture by Manuel Buchfink, Faizan Ahmad, Guangpu Yang, Ammar Alsaffar, Charles Clark, Ahmed Baraka, Xingyu Liu, Sven Simon

“…This allows sparse view CT to be used in inline process manufacturing for 100% inspection of every component. …”
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A machine learning driven computationally efficient horse shoe shaped antenna design for internet of medical things. by Umhara Rasool Khan, Javaid A Sheikh, Aqib Junaid, Shazia Ashraf, Altaf A Balkhi

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