Credit Rationing Equilibrium Achievement in the Conditions of Digitalization by O. V. Lunyakov

“…The author concludes that is the potential increase the rate of return on credit operations. Extending the borrower credit data with alternative, non-credit sources, as expected, allows to get more accurate creditworthiness assessment. …”
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Application of five seismic attributes in natural fracture prediction for deep coalbed methane production along the eastern margin of the Ordos Basin by Jiangnan TONG, Feng WANG, Feng ZHANG, Wei HOU, Zhongbai LI, Liang JI, Yanan JIANG, Wei SUN

“…Through offset vector tiles (OVT) domain processing of offshore 3D wide-azimuth, broadband, and high-density (WBH) seismic data, this study determined five-dimensional seismic data: time, space (3D coordinates), offset (or shot-to-geophone distance), and azimuth. …”
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探討強化學習演算法之素材推薦機制與AI學習履歷之學習者感知 Learner Perceptions of AI-Powered Learning Portfolios and Personalized Material Recommendation Mechanisms in Reinforcement Learning Algorithms... by 曾建維 Jian-Wei Tzeng, 黃天麒 Tien-Chi Huang, 薛承祐 Cheng-Yu Hsueh, 廖英淞 Ying-Song Liao

“…A growing body of research advocates for the use of data analytics as a viable method to optimize online and adaptive learning processes. …”
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The biochemical and morphostructural features of biological fluids in patients with rapidly growing uterine myoma by E. G. Shvarev, L. V. Dikareva, A. K. Ayupova, G. E. Shvarev

“…The paper analyzes and presents the clinical and laboratory data of 978 female patients, including 268 (27.4%) control women having no reproductive organ tumors, 478 (48.8%) and 232 (23.7%) patients with slowly and rapidly growing uterine myoma (UM), respec- tively. …”
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Assessment of transportation capacity balance of railway network polygons by A. F. Borodin, V. V. Panin, M. A. Ageeva, A. Yu. Sokolov, S. Yu. Kirillova, E. O. Dmitriev, A. A. Kravchenko

“…It is necessary to calculate the balance of transportation capacity, making it possible to combine growing traffic with high rates with infrastructure development and repair works. …”
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Machine Learning Model for Early Detection of COVID-19 by Heart Rhythm Abnormalities by M. S. Mezhov, V. O. Kozitsin, Iu. D. Katser

“…Electronic devices capable of collecting individual telemetry data have opened up prospects for preclinical detection of COVID-19 signs. …”
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Task Offloading and Computation in Hybrid uRLLC and eMBB Cognitive Radio Enabled 5G Based Multiuser Edge Computing by Akinbode A. Olawole, Fambirai Takawira, Chabalala S. Chabalala

“…The target is to minimize energy consumption and, maximize the achievable data rate subject to probabilistic and statistical constraint on the eMBB task length based on Extreme Value Theorem (EVT), uRLLC reliability and, system capacity. …”
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Clinical and physiological characteristics of organs and mouth tissues of the residents in industrial of Yakutia

“…The evaluation of laboratory data suggests the presence of certain changes in composition and properties of oral fluid among population that are associated with an increase in viscosity and a decrease in salivary flow rate with a predominance of the second and third types of oral fluid microcrystallization. …”
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Epidemiological surveillance of pancreatic cancer in the North region of the state of Rio Grande do Sul by Henrique Mezzomo Pasqual, Luciano Luiz Alt, Clarissa Possamai Tres, Monica Mânica, Vitoria dos Santos Magalhães, Paulo Roberto Reichert, Victor Campos Horbach, Thais Dall'Acqua Jost, William Patrick Menegussi, Bernardo Luiz Lazarotto de Lani, Anna Lourdes Gueller Becker, Henrique Cassel de Oliveira

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Rules of the automated synthesis final markovs-koy a chain describing finishing of the multipack-age message in connection "point-point" by Vladimir Anatolievich Tsimbal, Oleg Igorevich Sorokin, Maxim Arturovich Lyagin, Andrey Aleksandrovich Berezhnoy, Nikita Viktorovich Kruchkov, Vitaliy Vladimirovich Hoptar

“…Rules are developed for the automated synthesis of a matrix of transitive probabilities and a matrix of steps of the transitions necessary for research of efficiency (under is likelihood-time characteristics) deliveries of multi-package messages in systems of data transmission with various parametres. Developed scientific and methodological apparatus is the basis for further study of the dependence of the probability of prompt delivery of multipackage messages in data transmission systems with different parameters: the number of sources, receipts, recipient, and also at different length of the package, the receipt, the transfer rate of information.…”
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Effects of biochar on soil respiration mediated by rainfall events: evidence from one-year field experiment in an urban forest by Haoran Zu, Zijun Deng, Xin Liu, Junyi Luo, Ying Chen, Meiling Yi, Xiao Wang, Xiaocui Liang, Xiang Zhang, Wende Yan

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A long-tailed distribution time-series dataset in boiler equipment by Weijun Hu, Anze Jiang, Kaihong Chen, Jie Zheng, Wenli Shang, Zhong Cao

“…By preprocessing this flawed data, we generate a high-dimensional time-series dataset that includes key operational parameters like pressure, temperature, flow rate, and oxygen levels. …”
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Extracting Information from Unstructured Medical Reports Written in Minority Languages: A Case Study of Finnish by Elisa Myllylä, Pekka Siirtola, Antti Isosalo, Jarmo Reponen, Satu Tamminen, Outi Laatikainen

“…This highlights the challenge of medical language processing when working with minority languages. Moreover, it was noted that parameter tuning based on translated English reports did not significantly improve the detection rates, likely due to linguistic differences between the datasets. …”
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Electroencephalogram Dataset of Visually Imagined Arabic Alphabet for Brain–Computer Interface Design and Evaluation by Rami Alazrai, Khalid Naqi, Alaa Elkouni, Amr Hamza, Farah Hammam, Sahar Qaadan, Mohammad I. Daoud, Mostafa Z. Ali, Hasan Al-Nashash

“…The EEG signals were recorded using the EMOTIV Epoc X wireless EEG headset (San Francisco, CA, USA), which is equipped with 14 data electrodes and two reference electrodes arranged according to the 10–20 international system, with a sampling rate of 256 Hz. …”
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On the effect of sampling frequency on the electricity theft detection performance by Fatemeh Soleimani Nasab, Foad Ghaderi

“…To investigate the effect of sampling frequency on the performance of detection methods, we designed a processing framework to evaluate different classification algorithms on versions of a challenging dataset obtained by down‐sampling the original data at various rates. …”
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Joint Allocation of Power and Subcarrier for Low Delay and Stable Power Line Communication by Zhixiong Chen, Zhihui Yang, Zeng Dou

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External Mass Transfer Model for Hydrogen Peroxide Decomposition by Terminox Ultra Catalase in a Packed-Bed Reactor by Grubecki Ireneusz

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A Deep Reinforcement Learning Approach for Portfolio Management in Non-Short-Selling Market by Ruidan Su, Chun Chi, Shikui Tu, Lei Xu

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Evaluation of drying behavior and characteristics of potato slices in multi–stage convective cabinet dryer: Application of artificial neural network by Susama Chokphoemphun, Somporn Hongkong, Suriya Chokphoemphun

“…The shrinkage analysis was based on the photographic data taken through image processing before usage as the output data for the predictive model. …”
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Predicting user's movement path in indoor environments using the stacked deep learning method and the fuzzy soft‐max classifier by Masoumeh Bourjandi, Meisam Yadollahzadeh‐Tabari, Mehdi GolsorkhtabariAmiri

“…However, these approaches have drawbacks such as their low accuracy in classifying the extracted features into associated movement paths, high sensitivity to noisy data, and ignoring time dependencies within raw data. …”
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