The simple approach to the development of lightweight cipher algorithms by A. S. Poljakov

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Fuzzy Guiding of Roulette Selection in Evolutionary Algorithms by Krzysztof Pytel

“…This paper presents, discusses, and tests a novel method for guiding roulette selection in evolutionary algorithms. The new method uses fuzzy logic and incorporates information from both current and historical generations to predict the best scheme for the selection process. …”
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Quantum-annealing-inspired algorithms for multijet clustering by Hideki Okawa, Xian-Zhe Tao, Qing-Guo Zeng, Man-Hong Yung

“…We find that both the distance defined in the QUBO matrix and the prediction power of the QUBO solvers have crucial impacts on the multijet clustering performance. …”
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Mathematical analysis of spectral estimation algorithms resolution by V. A. Kakora, A. V. Grinkevich

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Efficiency Evaluation of Segmentation Algorithms for AFM Images by V. V. Rabtsevich, V. Yu. Tsviatkou

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Prediction after a Horizon of Predictability: Nonpredictable Points and Partial Multistep Prediction for Chaotic Time Series by Vasilii A. Gromov, Philip S. Baranov

“…The resulting strategy demonstrates accurate results for both benchmark and real-world time series, with the number of predicted steps exceeding that of any other published algorithm.…”
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Post-extrasystolic variation of ST segment and T wave as a mortality risk predictor after myocardial infarction by Ralf J. Dirschinger, Ralf J. Dirschinger, Alexander Müller, Petra Barthel, Alexander Steger, Michael Dommasch, Axel Bauer, Karl-Ludwig Laugwitz, Georg Schmidt, Daniel Sinnecker, Daniel Sinnecker

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Safety Status Prediction Model of Transmission Tower Based on Improved Coati Optimization-Based Support Vector Machine by Xinxi Gong, Yaozhong Zhu, Yanhai Wang, Enyang Li, Yuhao Zhang, Zilong Zhang

“…Subsequently, we employ the improved coati optimization algorithm (ICOA) to refine the penalty parameters and kernel function of the support vector machine (SVM), thereby developing the safety state prediction model for the transmission tower. …”
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ON DESIGN OF PREDICTIVE MODEL FOR HEART DISEASE by Soumyendu Bhattacharjee, Susmita Das, Sangita Roy, Arpita Santra, Anasuya Sarkar, Moumita Pa, Biswarup Neogi

“…We used several artificial intelligence (AI) techniques, such as the critical backslide and KNN, to predict and group patients with cardiovascular sickness. …”
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ALGORITHM OF TECHNOLOGICAL FORECASTING IN THE RUSSIAN FEDERATION by Victor Mikhaylovich Averbukh

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Multi-strategy enhanced artificial rabbits optimization for prediction of grades in tourism service communication courses by Xiaodan Qu, Zhuyin Jia

“…Abstract Predicting students’ grades through their classroom behavior has been a longstanding concern in education. …”
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Machine Learning in the National Economy by Azamjon A. Usmonov

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THE USE OF PROJECT TECHNOLOGIES IN THE CONTEXT OF TRAINING FUTURE EDUCATORS FOR PROFESSIONAL ACTIVITY IN THE CONTEXT OF INCLUSIVE EDUCATION IN PRESCHOOL EDUCATION INSTITUTIONS by Л. Шевченко, М. Сорочан

“…The article discusses the methodological and practical aspects of preparing future educators for professional activities in inclusive education using project-based technologies. …”
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The Treatment Algorithm for Meibomyitis, Hordeolum and Halazion by V. N. Trubilin, E. G. Poluninа, D. V. Andzhelova, Yu. V. Evstigneeva, K. V. Chinenova, V. Kumar, M. D. Pozharitsky

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Medium and Long Term Wind Power Prediction Based on Graph Convolutional Network and Wind Velocity Differential Fitting by Zihan CHEN, Wei TENG, Xuefeng XU, Xian DING, Yibing LIU

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Proposing an Improved Version of the Bat Algorithm by Davar Giveki, Javad Ebrahimi, Maryam Sarshar

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THE AUGMENTED REALITY FUNCTIONS TO SUPPORT THE STEAM EDUCATION AT GENERAL EDUCATION INSTITUTIONS by Наталія Сороко

“…Our further research is the creation of algorithms for the use of AR for lessons and projects using the STEAM approach, which will improve the quality of education at general education institutions.…”
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Investigation of Artificial Intelligence Techniques for the Management of Cataract Disease: A Systematic Review by Zahra Karbasi, Michaeel Motaghi Niko, Maryam Zahmatkeshan

“…Deep learning techniques, decision trees, and Bayesian algorithms were involved in cataract management. Machine learning algorithms such as logistic regression, random forest, artificial neural network, decision tree, K1-nearest neighbor, XGBoost, and adaptive boosting also played a role in cataract prediction. …”
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Optimization Algorithm for Selecting Compressible Data by E. V. Mozhenkova, T. O. Titovets, A. I. Paramonov

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Application of user preference mining algorithms based on data mining and social behavior in brand building by Yuhan Dong

“…In actual simulation experiments, its prediction results for the user’s brand preference index are accurate, with an error of only 0.11, and the algorithm has extremely high ratings among industry insiders. …”
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