Control of Magnetic Manipulator Using Reinforcement Learning Based on Incrementally Adapted Local Linear Models by Martin Brablc, Jan Žegklitz, Robert Grepl, Robert Babuška

“…We have introduced modifications to the RFWR algorithm to better suit the low-dimensional continuous-time systems we are mostly dealing with. …”
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Reentry Capsule Reachable Tube Boundary Prediction via Evolutionary Multiobjective Optimization by Wen Zou, Zhanxin Cui, Genghui Li, Zhiwei Feng, Zhenkun Wang, Qingyu Gao, Qingbin Zhang, Tao Yang

“…Ultimately, the multiobjective evolutionary algorithm based on decomposition was employed to solve the multiobjective optimization model, and the geometric boundary of the tube corresponds to the Pareto front of the multiobjective optimization. …”
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Creating a model of threats to Ukraine’s national critical infrastructure as a basis for ensuring its security and resilience by D. S. Melnyk

“…The formation of a basic threat model for critical infrastructure facilities, which should include related models of the facility, situation and intruder, is currently an important element of the algorithm for solving this problem. The basic model of threats to critical infrastructure is the framework on which the state determines who and what it needs to protect itself from at the national level. …”
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Log-Based Analysis of Creativity in the Context of Computational Thinking by Rotem Israel-Fishelson, Arnon Hershkovitz

“…We developed a Python algorithm to automatically analyze the logged solutions across four creativity measures. …”
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Multiple programmed cell death patterns predict the prognosis and drug sensitivity in gastric cancer by Qiying Song, Shihe Liu, Di Wu, Aizhen Cai

“…Immune cell infiltration, immune checkpoint expression, Tumor Immune Dysfunction and Exclusion (TIDE) algorithm and drug sensitivity analysis were used to explore immunotherapy response. …”
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EPPTA: Efficient partially observable reinforcement learning agent for penetration testing applications by Zegang Li, Qian Zhang, Guangwen Yang

“…Furthermore, by integrating the algorithm with the high‐performance RL framework, sample factory, EPPTA significantly reduces convergence time compared to existing pen‐testing methods, resulting in an approximately 20‐fold acceleration. …”
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Lattice‐based hash‐and‐sign signatures using approximate trapdoor, revisited by Huiwen Jia, Yupu Hu, Chunming Tang

“…Due to the fact that the signature size and the concrete security are closely related to the Gaussian parameter of the sampling algorithm, this technique provides a tradeoff between them. …”
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Numerical characterization of hemodynamics conditions near aortic valve after implantation of left ventricular assist device by Annalisa Quaini, Sunčica Čanić, David Paniagua

“…The use of LVADs has been associated with thrombus formation next to the aortic valve and close to the anastomosis region,especially in patients in which the native cardiac function isnegligible and the aortic valve remains closed.Stagnation points and recirculation zones have been implicated as the main fluid dynamics factors contributing to thrombus formation.The purpose of the present study was to develop and use computer simulations based on afluid-structure interaction (FSI) solver to study flow conditions corresponding to different strategies inLVAD ascending aortic anastomosis providing a scenario with the lowest likelihood of thrombus formation.A novel FSI algorithm was developed to dealwith the presence of multiple structures corresponding to different elastic properties ofthe native aorta and of the LVAD cannula.A sensitivity analysis of different variables was performed to assess their impact of flow conditionspotentially leading to thrombus formation.It was found that the location of the anastomosis closest to the aortic valve(within 4 cm away from the valve)and at the angle of 30$^\circ$ minimizes the likelihood of thrombus formation.Furthermore, it was shownthat the rigidity of the dacron anastomosis cannula plays almost no role in generating pathologicalconditions downstream from the anastomosis.Additionally, the flow analysis presented in this manuscriptindicates that compliance of the cardiovascular tissue acts as a natural inhibitor of pathological flow conditions conducive to thrombus formationand should not be neglected in computer simulations.…”
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Application of the Professional Psychological Quest in the Professional Training of Police Officers by N. E. Miloradova, N. Ye. Tverdokhliebova

“…It is noted that the basis of the police quest is the situational method, the content of which is aimed at mastering the algorithm of actions by the cadets associated with the implementation of the service tasks of the police. …”
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A new -means singular value decomposition method based on self-adaptive matching pursuit and its application in fault diagnosis of rolling bearing weak fault by Hongchao Wang, Wenliao Du

“…To overcome the above-mentioned shortcomings of K -means singular value decomposition, a new K -means singular value decomposition sparse representation method based on traditional K -means singular value decomposition method was proposed in this article, which uses the sparse adaptive matching pursuit algorithm and an iterative method based on the minimum similarity of atomic structure. …”
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Selection of sampling sites in Germany for the International Moss Survey 2020 using statistics and decision modelling by Stefan Nickel, Winfried Schröder

“…To ensure methodological transparency and objectivity, a procedure based on statistical methods and decision modelling was developed for this purpose. The decision algorithm enabled taking into account a large number of technical criteria. …”
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Empirical mode decomposition/Hilbert transform analysis of postural responses to small amplitude anterior-posterior sinusoidal translations of varying frequencies by Rakesh Pilkar, Erik M. Bollt, Charles Robinson

“…The Empirical Mode Decomposition (EMD) algorithm decomposes the Center of Pressure (CoP) data (5 young, 4 mature adults) into Intrinsic Mode Functions (IMFs). …”
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Effect of Friction Coefficient in Friction Stir Welding of B4C Reinforced AA5083 Metal Matrix Composites and Use of Fuzzy Clustering Technique for Weld Strength Prediction by C. Devanathan, D. Elil Raja, Tushar Sonar, Mikhail Ivanov

“…The influence of the friction coefficient on ultimate tensile strength, microstructural features, and tool condition was studied, and the flower pollination algorithm (FPA) technique was used to find the best process parameters for obtaining maximum ultimate tensile strength of FSW joints. …”
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Artificial neural network analysis of Jeffrey hybrid nanofluid with gyrotactic microorganisms for optimizing solar thermal collector efficiency by Anup Kumar, Bhupendra K. Sharma, Bandar Almohsen, Laura M. Pérez, Kamil Urbanowicz

“…The artificial neural network is also developed for the non-dimensional governing equations using the Levenberg Marquardt algorithm. Numerical findings corresponding to the diverse parameters influencing the nanofluid flow and heat transfer are presented in the graphs. …”
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A Model for Vehicle Routing Problem under Returns and Emission Consideration in B2C E-Commerce Logistics by Sedat Belbağ

“…A clustering-based solution algorithm has been introduced to solve large-sized instances within reasonable solution times.Findings: The numerical analysis for the base case shows that the suggested model can assist decision-makers in coordinating forward distribution and reverse collection decisions within the context of sustainable e-commerce logistics. …”
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Afocal Mirror Systems with Small Axial Dimensions by N. K. Artioukhina, L. Peroza

“…A study was made of systems in which the diameter of the aperture diaphragm in the primary mirror is modified, which leads to a more compact system.A calculation algorithm of new the systems is proposed, with correction of the image curvature. …”
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Ecological niche modelling using MaxEnt for riparian species in a Mediterranean context by Jean Stephan, Melissa Korban

“…Despite their key environmental role, riparian tree and shrub species gained little attention in ecological niche modeling (ENM), especially in semi-arid environments.This study examines the performance of selected climatic, topographic, and geographic predictors in ENM of obligate and non-obligate riparian tree and shrub species in perennial and intermittent streams in the Mediterranean biome.MaxEnt algorithm was used for ENM. Three models were designed with different sets of predictors with cropped and non-cropped backgrounds around the riparian zone.The models generated different predicted distribution maps by species and compared them with the presence points of the studied species. …”
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Route Selection of Multimodal Transport Based on China Railway Transportation by Hui Zhang, Yao Li, Qingpeng Zhang, Dingjun Chen

“…Finally, taking a multimodal transport network in China as an example, an improved ant colony algorithm is used to solve the model and the results verify the rationality of the model.…”
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An Analytical Solution for Non-Darcian Flow on a Constant Head Packer Test in the Interlayer Staggered Zone by Qi Shen, Zhifang Zhou, Meng Chen, Sijia Li, Zhe Wang, Yabing Li

“…The test results inversed by the genetic algorithm show that non-Darcian flow happened during the test under the injection pressure 0.3 MPa with the power index n is 1.278, non-Darcian hydraulic conductivity k1 is 1.613×10−5 cm/s and the specific storage Ss is 9.757×10−5 m-1, respectively. …”
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Exploring the impact of adenoid obstruction on the human nasal airflow through parallel computational fluid dynamics by Zhengzheng Yan, Xinhong Wang, Rongliang Chen

“…The numerical solution was obtained using a Newton‐Krylov‐Schwarz algorithm‐based parallel solver. Our findings indicate that obstruction of the adenoid cross‐sectional area below 50% minimally affects nasal airflow, whereas noticeable changes occurred as obstructions exceeded the 50% threshold. …”
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