Mathematical Model and Characteristics of the Induction Motor with a Power Supply from a Current Source by V. S. Malyar, A. V. Malyar

“…The specific features of the algorithms for calculating transients, steady-state modes and static characteristics are discussed. …”
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Web search results processing in an information support system for decision-making processes by S. F. Lipnitsky, L. V. Stepura

“…The proven properties of such structures provide algorithmization of information processes in the model under consideration.Conclusion. …”
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A Review of Reinforcement Learning for Fixed-Wing Aircraft Control Tasks by David J. Richter, Ricardo A. Calix, Kyungbaek Kim

“…A lot of that can be attributed to the recent advancements in machine learning (ML) and deep learning (DL) as a whole, the power of deep neural networks and the incorporation of them into reinforcement learning algorithms and techniques. This marriage of deep neural networks and traditional reinforcement learning methods has enabled reinforcement learning algorithms to achieve incredible results in use-cases that were previously deemed to be too complex. …”
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Digital solutions for risk management in sustainable development conditions of business ecosystems by Oleksii HNIEZDOVSKYI, Danylo DOMASHENKO, Svitlana DOMASHENKO, Denys MOROZOV, Serhii SHYLO

“…A prediction system that uses various machine learning algorithms was developed and tested. A comparative analysis of the effectiveness of various machine learning algorithms for the prediction task was conducted. …”
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A new method for a priori practical identifiability. by Peter Thompson, Benjamin Jan Andersson, Nicolas Sundqvist, Gunnar Cedersund

“…This new type of identifiability can be determined using our new algorithms, as is demonstrated by applications to various published biomedical models. …”
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Analysis of disease severity and mortality prediction using machine learning during COVID-19 by Hodjat (Hojatollah) Hamidi, Mostafa Moradi

“…This paper focuses on how machine learning (ML) algorithms and applications have been used to analyze disease severity and mortality prediction in COVID-19 research. …”
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Remaining Useful Life Estimation through Deep Learning Partial Differential Equation Models: A Framework for Degradation Dynamics Interpretation Using Latent Variables by Sergio Cofre-Martel, Enrique Lopez Droguett, Mohammad Modarres

“…Remaining useful life (RUL) estimation is one of the main objectives of prognostics and health management (PHM) frameworks. …”
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Machine learning and company failure prediction: Evidence from South Africa by Nicolene Wesson, Dewald Mienie, Anthea Myatt

“…Company failure prediction up to 3 years in advance was measured by applying eight fundamental machine learning techniques and the traditional logit analysis statistical method. Main findings: Two machine learning algorithms outperformed the traditional method in some years. …”
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Efficient and Constant Time Modular Reduction With Generalized Mersenne Primes by Serdar S. Erdem, Sezer S. Erdem

“…Because calculated values can be negative, two’s complement arithmetic is used in calculations. The proposed algorithms have substantial speed improvements over the classical algorithms in software. …”
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General Construction Method and Proof for a Class of Quadratic Chaotic Mappings by Wenxia Xu, Xiangkun Chen, Ziwei Zhou, Guodong Li, Xiaoming Song

“…The importance of chaotic systems as the main pseudo-random cryptographic generator of encryption algorithms in the field of communication secrecy cannot be overstated, but in practical applications, researchers often choose to build upon traditional chaotic maps, such as the logistic map, for study and application. …”
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Groundwater pollution risk assessment in typical coal-related industry agglomeration area by Lai ZHOU, Yanzhuo LIU, Zenggang QI, Lei WANG, Lei MENG, Qiyan FENG, Yanqing RONG

“…At the same time, combined with the water quality level of groundwater sampling points in the study area, the Random Forest (RF) classification algorithm was utilized to construct the groundwater pollution risk classification prediction method, and the evaluation results were compared with those of the superposition index method. …”
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Paired autoencoders for likelihood-free estimation in inverse problems by Matthias Chung, Emma Hart, Julianne Chung, Bas Peters, Eldad Haber

“…Such problems are notoriously difficult to solve in practice and require minimizing a combination of a data-fit term and a regularization term. The main computational bottleneck of typical algorithms is the direct estimation of the data misfit. …”
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FIORA: Local neighborhood-based prediction of compound mass spectra from single fragmentation events by Yannek Nowatzky, Francesco Friedrich Russo, Jan Lisec, Alexander Kister, Knut Reinert, Thilo Muth, Philipp Benner

“…FIORA not only surpasses state-of-the-art fragmentation algorithms, ICEBERG and CFM-ID, in prediction quality, but also facilitates the prediction of additional features, such as retention time and collision cross section. …”
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Modern methods of intraoperative fluorescent imaging of the parathyroid glands in endocrine surgery: a literary review by S. V. Zinchenko, N. A. Shanazarov, N. F. Muratov, S. D. Kisikova, K. S. Seitbekova, I. Z. Galiev, M. I. Ibragim, R. R. Ahmetshin

“…In this regard, there is a need to improve diagnostic search algorithms, including intraoperative ones, for altered parathyroid glands. …”
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A Novel Transit Bus Number Identification Approach for Frictionless Fare Collection Using Passenger Location Data by Nafise Ghorbankhani, Morteza Adl, Ryan Ahmed, Ali Emadi

“…The framework incorporates trajectory similarity algorithms such as Dynamic Time Warping (DTW) and Longest Common Subsequence (LCSS) within the JRM to enhance the accuracy of user-to-bus matching. …”
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Acoustic Emission-Based Small Leak Detection of Propulsion System Pipeline of Sounding Rocket by Lin Gao, Lili Dong, Jianguo Cao, Shaofeng Wang, Wenjing Liu

“…It is verified that the main frequency of the AE small leak signal due to the failure of the pipe joint is focused in the range of 33–45 kHz, and the algorithms based on SVM with kernel functions all can reach a better estimation accuracy of 98% using the feature “envelope area” or the feature set {standard deviation (STD), root mean square (RMS), energy, average frequency}.…”
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CEREBRAL OXYMETRY IN HIGH RISK CARDIAC SURGERY: APPLICABILITY AND PROTOCOL OF THE CLINICAL TRIAL by P. P. Perovskiy, E. V. Fominskiy, V. A. Shmyrev, I. A. Kornilov, V. V. Likhvantsev, V. V. Lomivorotov

“…Currently it is being actively introduced into practice, management algorithms for cerebral oxygenation disorders are being developed basing on it, including the ones for cardiac surgeries. …”
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An Intelligent System for Medical Oxygen Consumption Management Using Oximetry and Barometry by Abbas Izadi, Hadi Ghasemifard, Mohamad Amin Bakhshali, Nadia Roudsarabi, Omid Sarrafzadeh

“…The system integrates various sensors and machine learning algorithms to enable real-time monitoring and control of the oxygen supply chain. …”
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PHYSICAL METHODS OF REHABILITATION IN CANCER PATIENTS AFTER COMBINED MODALITY TREATMENT FOR BREAST CANCER by V. E. Tishakova, E. V. Filonenko, V. I. Chissov, N. A. Efimenko, A. N. Urlova

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Potential impact of coronaviruses upon cardiovascular system under COVID-19 pandemic by L.O. Tkachenko, O.A. Yepanchintseva, B.M. Todurov

“…There are no clear algorithms and recommendations for the treatment of such patients in a pandemic and differ in different countries. …”
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