Effect of Learning Rate on the Recognition of Images by M. Hamed, A. El Desouky

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A Simple Machine Learning-Based Quantitative Structure–Activity Relationship Model for Predicting pIC₅₀ Inhibition Values of FLT3 Tyrosine Kinase by Jackson J. Alcázar, Ignacio Sánchez, Cristian Merino, Bruno Monasterio, Gaspar Sajuria, Diego Miranda, Felipe Díaz, Paola R. Campodónico

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A real time monitoring system for accurate plant leaves disease detection using deep learning by Kazi Naimur Rahman, Sajal Chandra Banik, Raihan Islam, Arafath Al Fahim

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IMPROVE OF UNCERTAIN MICROSATELLITE MAGNETIC CLEANLINESS BASED ON MAGNETIC FIELD SPATIAL HARMONICS COMPENSATION by Б.І. Кузнецов, Т.Б. Нікітіна, І.В. Бовдуй, К.В. Чуніхін, В.В. Коломієць, Б.Б. Кобилянський

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Machine Learning-Assisted Drug Repurposing Framework for Discovery of Aurora Kinase B Inhibitors by George Nicolae Daniel Ion, George Mihai Nitulescu, Dragos Paul Mihai

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Review of the application of intelligent speech technology in education by Gao Jianqing, Wan Genshun, Wu Kui, Fu Zhonghua

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Study of kinematic parameters of android robot in automated synthesis of motions on velocity vector by F. N. Pritykin

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Novel machine learning-driven comparative analysis of CSP, STFT, and CSP-STFT fusion for EEG data classification across multiple meditation and non-meditation sessions in BCI pipel... by Nalinda D. Liyanagedera, Corinne A. Bareham, Heather Kempton, Hans W. Guesgen

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One size does not fit all: revising traditional paradigms for assessing accuracy of QSAR models used for virtual screening by James Wellnitz, Sankalp Jain, Joshua E. Hochuli, Travis Maxfield, Eugene N. Muratov, Alexander Tropsha, Alexey V. Zakharov

Subjects: “…Computer-assisted drug discovery…”
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Digital Devices Use and Chinese-Canadian First Graders’ Early English Literacy Development: A Mixed-Methods Study by Guofang Li, Fubiao Zhen, Ziwen Mei

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Food: Transformation in Social Networks by D. N. Karpova

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Transparent memory tests with even repeating addresses for storage devices by V. N. Yarmolik, I. M. Mrozek, V. A. Levantsevich, D. V. Demenkovets

Subjects: “…testing of computer systems…”
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A novel hybrid inception-xception convolutional neural network for efficient plant disease classification and detection by Wasswa Shafik, Ali Tufail, Chandratilak Liyanage De Silva, Rosyzie Anna Awg Haji Mohd Apong

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USABILITY OF PROGRAM INTERFACES FOR TEACHING 3D GRAPHICS IN A SCHOOL COURSE OF INFORMATICS by Oleksandr O. Mosiiuk, Yaroslava B. Sikora, Olena Yu. Usata

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A novel approach to skin disease segmentation using a visual selective state spatial model with integrated spatial constraints by Yu Bai, Hai Zhou, Hongjie Zhu, Shimin Wen, Binbin Hu, Haotian Li, Huazhang Wang, Daji Ergu, Fangyao Liu

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Feasibility analysis of non-electrocardiogram-triggered chest low-dose computed tomography using a kV-independent reconstruction algorithm for predicting cardiovascular disease risk in patients receiving maintenance hemodialysis by Xiangming Wang, Ao Liu, Yan Zhao, Xianbo Yu, Yushuo Cao, Min Li, Jing Liu, Yu Du, Li Yang

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Computation of Heterojunction Parameters at Low Temperatures in Heterojunctions Comprised of n-Type β-FeSi2 Thin Films and p-Type Si(111) Substrates Grown by Radio Frequency Magnetron Sputtering by Phongsaphak Sittimart, Adison Nopparuchikun, Nathaporn Promros

“…Both of the n and ϕb values computed using the TE theory were in agreement with those computed using Cheung’s and Norde’s methods. …”
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A New Approach for Studying Bond Rupture/Closure of a Spiro Benzopyran Photochromic Material: Reactivity Descriptors Derived from Frontier Orbitals and DFT Computed Electrostatic Potential Energy Surface Maps by M. S. A. Abdel-Mottaleb, Sarah N. Ali

“…This paper focuses on computations technique within the framework of the TD-DFT theory for studying the relationship between structure-properties of reversible conversion of photochromic materials. …”
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Computational identification of promising genetic markers associated with molecular mechanisms of reduced rice resistance to <i>Rhizoctonia solani</i> under excess nitrogen fertilization using gene network reconstruction and analysis methods by E. A. Antropova, A. R. Volyanskaya, A. V. Adamovskaya, P. S. Demenkov, I. V. Yatsyk, T. V. Ivanisenko, Y. L. Orlov, Ch. Haoyu, M. Chen, V. A. Ivanisenko

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Erwig, Martin. Once upon an algorithm: how stories explain computing. Cambridge, MA: The MIT Press, 2022. xii, 319 p. ISBN 978-0-262-54529-7. $22.95 by Elena Maceviciute

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