Network Dismantling on Signed Network by Evolutionary Deep Reinforcement Learning by Yuxuan Ou, Fujing Xiong, Hairong Zhang, Huijia Li

“…However, almost all current algorithms focus on unsigned networks, and few studies explore the problem of signed network dismantling due to its complexity and lack of data. …”
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On the problem of the korenization and ukrainization of state authorities in the 1920s–1930s (based on the materials of the North Caucasus) by E. V. Tufanov

“…Their use made it possible to study in detail the main content of the policy of korenization, to understand the algorithm of its implementation, to identify the reasons for the rejection of the policy of korenization and to assess its role in the formation of the Soviet political system in the territory North Caucasus. …”
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Edge Server Placement and Task Allocation for Maximum Delay Reduction by Koki Shibata, Sumiko Miyata

“…Our method uses a genetic algorithm to optimize server utilization and the distance between users and servers. …”
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Recognition of Manipulative Text: Structure and Dominant Language Parameters by Gulmira N. Kenzhebalina, Gulvira K. Shaikova, Maygul T. Shakenova, Inessa G. Akoyeva

“…Based on the formed working definition of manipulability, an algorithm for analyzing media texts has been developed, which includes a complex of speech and language indicators. …”
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Stochastic Power Control Strategy for Hybrid Electric Propulsion Ships Using Markov Chain-Based Operational Data Augmentation by Su Bin Choi, Soon Ho Hong, Sun Je Kim

“…Since power demand varies due to uncertain environmental conditions, a deterministic power control strategy for hybrid electric propulsion ships contains a limitation in securing robust performance. …”
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Application of Regenerative Braking with Optimized Speed Profiles for Sustainable Train Operation by Leon Allen, Steven Chien

“…The decision variables are the acceleration at each time step of the respective motion regimes. Since the study optimization problem is combinatorial, a Genetic Algorithm was developed to search for the solution. …”
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Theoretical analysis of MOFs for pharmaceutical applications by using machine learning models to predict loading capacity and cell viability by Bader Huwaimel, Saad Alqarni

“…These findings provide a new perspective of their chemical and biological uses since they show the efficiency of stacking ensemble approaches in handling challenging datasets and optimizing MOF-based drug delivery systems. …”
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BLOCK CIPHER PERFORMANCE AND RISK ANALYSIS by amina Alregabo, Yassin Hikmat Ismael

“…Block cipher algorithms are a very important issue in the field of information security. …”
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Decoding Cultural-Code Meaning of Allusion in Translations (Xi Jinping’s Speech at Davos Forum 2021) by T. N. Zubakina, E. D. Sapko

“…It is emphasized that the interpretation of linguistic representations or their decoding is possible in the contexts of linguacultural accents of allusions of the text and dictionary entries, since by its sign essence language is one of the codes of culture. …”
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Evaluation of the results of pansharpening multispectral images by Y. I. Golub

“…The clearest boundaries and natural colors of objects were demonstrated by the P+XS pansharpening algorithm based on a linear combination of spectral channels.…”
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Sentiment Analysis of Social Networking Data Using Categorized Dictionary by Akansha Singh, Aastha Sharma, Krishna Singh, Anuradha Dhull

“…It is used by the mapper reducer algorithm for the classification of sentiments. The data is collected from social networking site and is pre-processed. …”
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Strategy for diagnosis and correction of vaginal dysbiosis in terms of preparation of pregnant for planned cesarean section and prevention of postpartum endometritis by Voronin K.V., Alale A.M., Alale I.I., Dzyba Y.N.

“…We propose a diagnostic algorithm, drug correction and prevention for this common group of patients.…”
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Transcatheter aortic valve implantation with commissural alignment by D. V. Salichkin, A. E. Komlev, P. M. Lepilin, A. S. Kolegaev, I. V. Kuchin, A.  A. Nurkhametova, T.  E. Imaev

“…The algorithm of commissural alignment in clinical practice of TAVI up to date has been proposed only for several transcatheter heart valves reported in this paper.…”
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Quantum kernel t-distributed stochastic neighbor embedding by Yoshiaki Kawase, Kosuke Mitarai, Keisuke Fujii

“…Furthermore, we visualize the optimization trajectories of finding the ground states of the transverse field Ising model, and we successfully find the trajectory characteristics. Since quantum states are higher-dimensional objects that can only be seen via observables, our visualization method, which inherits the similarity of quantum data, would be useful in understanding the behavior of quantum circuits and algorithms.…”
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Dynamic Programming as a Method of Spline Approximation in the CAD Systems of Linear Constructions by D. A. Karpov, V. I. Struchenkov

“…Designing a trace plan and longitudinal profile are considered as non-linear programming tasks. Since the number of elements of the plan and the longitudinal profile is not known, the problem is solved in three stages. …”
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Machine Learning Modeling for Building Energy Performance Prediction Based on Simulation Data: A Systematic Review of the Processes, Performances, and Correlation of Process-Relate... by Damla Kömürcü, Ecem Edis

“…Machine learning models have become a potential alternative for building energy performance studies since they provide fast and reliable prediction results. …”
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Who moved my scan? Early adopter experiences with pre- and post-market healthcare AI regulation challenges by Aviad Raz, Yael Inbar, Netta Avnoon, Liat Bela Lifshitz-Milwidsky, Barkan Hofman, Asaf Honig, Ziv Paz

“…Real-world clinical experience provides a much-needed opportunity for deep learning AI algorithms to evolve and improve. Yet, it also constitutes a regulatory challenge, since such potential for learning may essentially change the algorithm and introduce new biases. …”
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Active Magnetic Bearing Rotor Model Updating Using Resonance and MAC Error by Yuanping Xu, Jin Zhou, Long Di, Chen Zhao, Qintao Guo

“…Modern control techniques can improve the performance and robustness of a rotor active magnetic bearing (AMB) system. Since those control methods usually rely on system models, it is important to obtain a precise rotor AMB analytical model. …”
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Using a multi-strain infectious disease model with physical information neural networks to study the time dependence of SARS-CoV-2 variants of concern. by Wenxuan Li, Xu Chen, Suli Liu, Chiyu Zhang, Guyue Liu

“…In our experiments, we found that this algorithm can accurately fit the reported data of the British Columbia (BC) province and its five internal health agencies in Canada. …”
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Clock Glitch Fault Attacks on Deep Neural Networks and Their Countermeasures by Sangwon Lee, Suhyung Kim, Seongwoo Hong, Jaecheol Ha

“…Furthermore, we propose countermeasures to defeat the glitch attacks on each Softmax function and Sigmoid function at the algorithm level, and we confirm that these methods can effectively prevent misclassification incidents.…”
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