Artificial dissipation model applied to Euler equations for analysis of supersonic flow around a geometric configurations ramp and diffusor type by Jussiê Soares da Rocha, Edisson Sávio de Góes Maciel, Carlos Brayner de Oliveira Lira, Pedro Augusto Silva de Sousa, Raimundo Nonato Correia Neto

“…Very High Temperature Gas Cooled Reactors - VHTGRs are studied by several research groups for the development of advanced reactors that can meet the world's growing energy demand. …”
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Persistence and Burn-in in Solar Coronal Magnetic Field Simulations by Eric J. Hall, Karen A. Meyer, Anthony R. Yeates

“…Simulations of solar phenomena play a vital role in space-weather prediction. A critical computational question for automating research workflows in the context of data-driven solar coronal magnetic field simulations is quantifying a simulation's burn-in time, after which a solar quantity has evolved away from an arbitrary initial condition to a physically more realistic state. …”
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Enhanced path planning for robot navigation in Gaussian noise environments with YOLO v10 and depth deterministic strategies by Feng Xiao, Shiwei Chu, Xing Guo, Youhai Zhang, Rubing Huang

“…Recognition accuracy is optimized using cross entropy loss function. The DDPG algorithm is applied to update the path planning strategy, define the state space of robot position, velocity, and Laser Radar (LiDAR) readings, and output possible movement directions and velocities as action outputs. …”
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Rapid global antenna design by simplex regressors and multi-resolution simulations by Slawomir Koziel, Anna Pietrenko-Dabrowska, Stanislaw Szczepanski, Leifur Leiffson

“…Surrogate modeling may mitigate this issue to a certain extent, yet dimensionality and parameter range issues severely impede the construction of accurate metamodels. This research suggests an innovative algorithm for global parameter adjustment of antenna systems. …”
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Anytime Optimal Trajectory Repairing for Autonomous Vehicles by Kailin Tong, Martin Steinberger, Martin Horn, Selim Solmaz, Daniel Watzenig

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Identification of Global Extended Pseudo Invariant Calibration Sites (EPICS) and Their Validation Using Radiometric Calibration Network (RadCalNet) by Juliana Fajardo Rueda, Larry Leigh, Cibele Teixeira Pinto

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Use of satellite data for detecting icebergs and evaluating the iceberg threats by I. A. Bychkova, V. G. Smirnov

“…Te main objective of the research is to develop methods for detecting icebergs using satellite radar data and high space resolution images in the visible spectral range. …”
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A pipeline for processing hyperspectral images, with a case of melanin-containing barley grains as an example by I. D. Busov, M. A. Genaev, E. G. Komyshev, V. S. Koval, T. E. Zykova, A. Y. Glagoleva, D. A. Afonnikov

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Modified particle swarm optimization (MPSO) optimized CNN’s hyperparameters for classification by Murinto Murinto, Sri Winiarti

“…Network performance and increasing the efficiency of learning models on certain problems depend on setting hyperparameter values, resulting in large and complex search spaces in their exploration. The use of heuristic-based searches allows for this type of problem, where the main contribution in this research is to apply the MPSO algorithm to find the optimal parameters of CNN, including the number of convolution layers, the filters used in the convolution process, the number of convolution filters and the batch size. …”
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National standards of pharmaceutical education in the context of reforming legislation of higher education by І. M. Alieksieieva

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scFocus: Detecting branching probabilities in single-cell data with SAC by Chunlin Chen, Zeyu Fu, Jiajia Yang, Huaqing Chen, Jiabao Huang, Shitian Qin, Chuhuai Wang, Xiaoqian Hu

“…The combination of branch probabilities and unsupervised clustering can effectively characterize changes in gene expression intensity, reflecting continuous cell states without relying on prior information. In this study, we propose a analytic algorithm named single-cell (sc)-Focus that divides cell subpopulations based on reinforcement learning and unsupervised branching in low-dimensional latent space of single cells. …”
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FW-S3KIFCM: Feature Weighted Safe-Semi-Supervised Kernel-Based Intuitionistic Fuzzy C-Means Clustering Method by Shirin Khezri, Nasser Aghazadeh, Mahdi Hashemzadeh, Amin Golzari Oskouei

“…Semi-supervised clustering (SSC) methods have emerged as a notable research area in machine learning. These methods integrate prior knowledge of class distribution into their clustering process. …”
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Mission Sequence Model and Deep Reinforcement Learning-Based Replanning Method for Multi-Satellite Observation by Peiyan Li, Peixing Cui, Huiquan Wang

“…The mission allocation phase efficiently generates assignment solutions using a pointer network, while the replanning phase introduces a hybrid action space for direct task insertion. Both phases are formulated as Markov Decision Processes (MDPs) and optimized using the PPO algorithm. …”
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Experimental Study on Heuristics Energy Management Strategy for Hybrid Energy Storage System by Alok Ranjan, Sanjay Bodkhe, Gaurav Goyal, Archana Belge, Sneha Tibude

“…The energy management strategy (EMS) is a decision-making algorithm for effective power allocation between storage devices in a hybrid energy storage system (HESS). …”
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Development of a Modular System for Digitalization of Appraisal Process by D. Yu. Pavkin, S. S. Yurochka, A. R. Khakimov, I. M. Dovlatov

“…(Research purpose) To develop a modular system for the digitalization of appraisal process ensuring the autonomy and independence of modules. …”
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Multi-Underwater Target Interception Strategy Based on Deep Reinforcement Learning by Wenhao GAN, Yunfei PENG, Lei QIAO

“…Next, the multi-agent proximal policy optimization algorithm was used to construct a scalable state and action space and design a compound reward function, enhancing interception efficiency and cooperation of AUVs. …”
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A method for identifying relevant topics of pilot simulator training based on clustering of flight safety reports by Z. R. Zabbarov, A. K. Volkov

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Estimation and Evaluation of the FY-3D/MERSI-II Fractional Snow Cover in China by Jinyu Huang, Lingmei Jiang, Fangbo Pan, Bo Zhong, Shengli Wu, Huizhen Cui

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Smart UAV-assisted rose growth monitoring with improved YOLOv10 and Mamba restoration techniques by Fan Zhao, Zhiyan Ren, Jiaqi Wang, Qingyang Wu, Dianhan Xi, Xinlei Shao, Yongying Liu, Yijia Chen, Katsunori Mizuno

“…We introduced MambaIR, a novel SRR algorithm based on selective state-space models, which significantly outperforms existing methods in enhancing low-resolution UAV imagery (PSNR: 28.34 dB, SSIM: 77.07 %). …”
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Improved analysis with spectral-domain optical coherence tomography angiography for evaluating vascular damage in exfoliation syndrome by Rongpei Zhang, Bingying Lin, Hairui Zhang, Yuncheng Ma, Na Xu, Ling Jin, Zhenyu Wang, Lei Tian, Munire Mohetaer, Aizezi Wumaier, Rongxin Chen, Danping Huang

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