High-Precision Diagnosis of the Whole Process of Laser-Induced Plasma and Shock Waves Using Simultaneous Phase-Shift Interferometry by Lou Gao, Hongchao Zhang, Jian Lu, Zhonghua Shen

“…In high-density LIP diagnostics, the Faraday rotation effect causes probe light polarization deflection, rendering traditional fixed-phase-demodulation methods ineffective, the Carré phase-recovery algorithm is adopted and its applicability is verified. …”
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RL-Based Vibration-Aware Path Planning for Mobile Robots’ Health and Safety by Sathian Pookkuttath, Braulio Felix Gomez, Mohan Rajesh Elara

“…The proposed approach is compared with the A* path planning algorithm using a performance index that assesses movement and the terrain roughness level. …”
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Correction of Hemodynamic Disorders in the Complex Surgical Correction of Acquired Cardiac Valvular Defects by A. I. Lenkin, K. V. Paromov, A. A. Smetkin, V. V. Kuzkov, V. Yu. Slastilin, M. Yu. Kirov

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A Powerful Approach in Visualization: Creating Photorealistic Landscapes with AI by Gusztáv Jakab, Enikő Magyari, Benedek Jakab, Gábor Timár

“…To test the method, we applied a procedure: we ran the algorithm on a current topographic map of a sample area and compared the resulting image with the view model provided by Google Earth.…”
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Risk identification and assessment of Internet public opinion on public emergencies based on Bayesian network and association rule mining by Mengjie You, Xuwei Pan, Chuwen Zhu

“…The core innovation lies in designing an improved scheme based on the CBA (Classification Based on Associations) algorithm to overcome the limitation of traditional association rule mining in handling non-Boolean data, thereby effectively extracting the correlations among public opinion risk factors to optimize the topological structure of the BN. …”
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Manifold Learning for Aerodynamic Shape Design Optimization by Boda Zheng, Abhijith Moni, Weigang Yao, Min Xu

“…This work addressed the transonic optimization problem of the undeflected Common Research Model (uCRM) three-dimensional wing (with an aspect ratio of 9), involving 241 design variables. …”
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Enhanced YOLO11 for lightweight and accurate drone-based maritime search and rescue object detection. by Beigeng Zhao, Jiawen Zhao, Rui Song, Lizhi Yu, Xia Zhang, Jiren Liu

“…In the lightweight complexity range, the proposed model achieves a relative accuracy improvement of 20.85% to 43.70% compared to these state-of-the-art methods. The code supporting this research is available at https://github.com/bgno1/sds_yolo11.…”
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Personalized Human-Robot Cognitive Interaction via a Novel Fuzzy Logic Control and Learning-Based Paradigm by Marcel Munster, Anahita Jamshidnejad

“…By replicating the rule-based decision making of humans, FLC provides a highly effective personalization mechanism and warm-starts the RL algorithm, which takes care of adapting the behaviors of SARs to the dynamics of people’s state-of-mind. …”
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Privacy-preserving detection and classification of diabetic retinopathy using federated learning with FedDEO optimization by Dasari Bhulakshmi, Dharmendra Singh Rajput

“…The results demonstrate that implementing these algorithms in an FL environment significantly improves privacy and performance compared to other approaches. …”
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Assessing regional economic systems balance based on the dynamics of key social and economic indicators by A. A. Shatsky

“…Public authorities, business entities, and scientific and research organizations have been identified as the main participants of RES. …”
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A speed optimization model for connected and autonomous vehicles at expressway tunnel entrance under mixed traffic environment. by Jianrong Cai, Yang Liu, Zhixue Li

“…However, existing speed optimization models mainly focus on urban signal-controlled intersections or expressway weaving zones, neglecting research on speed optimization in expressway tunnel entrances. …”
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Optimisation of railway tamping scheduling by Mahdi Khosravi, Alireza Ahmadi, Ahmad Kasraei, Arne Nissen

“…This research was devoted to optimising opportunistic tamping scheduling to present a cost-effective approach that considers both preventive and corrective tamping activities. …”
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Development and Practice of Cloud Collaborative Platform for Downhole Measurement Tools by Che Yang, Yuan Guangjie, Qian Hongyu, Du Weiqiang, Wang Chenlong, Ding Jiping

“…Moreover， to solve the problem of low far-field ranging accuracy， multiple magnetic steering data mining algorithms such as support vector machine （SVM）， decision tree （DT）， multilayer perceptron （MLP） and convolutional neural network （CNN） were built and compared， indicating that the robustness and generalization of the multilayer perceptron algorithm is the best. …”
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Identification of Road Black Spots Based on the Sliding Window Optimization and Safety Performance Function Development by Shahin Shabani, Jalal Ayoubinejad, Nassir Baradaran Rahmanian

“…Previous studies have indicated that the selection of window length significantly impacts the black spot identification process. This research proposes a new method that optimizes the sliding window framework by examining its characteristics. …”
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Reinforcement Learning-Based UAV Swarm Fission–Fusion Approach With Real-World Data-Integrated Validation by Xiaorong Zhang, Dacheng Qi, Wenrui Ding, Xinrui Zhang, Qingyi Liu, Yufeng Wang

“…The motion of unmanned aerial vehicle (UAV) swarms is a complex research area due to the involvement of various system components, including perception, control, and decision-making policies. …”
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An Explainable Machine Learning Model for Predicting Macroseismic Intensity for Emergency Management by Federico Mori, Giuseppe Naso

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Multi-Factor Modeling Method of the Load Sharing Ratio under Moving Train Loads by Yong Liu, Shiyu Zhang, Yang Jin, Yuxiang Song

“…Therefore, this paper proposes a “moving loading method” for investigating the LSR under moving train excitation, verified to be rational by comparing with the experimental results. At the same time, a procedure for establishing the LSR multi-factor prediction model is put forward, namely, we (1) determine the LSR function form and the fitting algorithm; (2) perform parameter sensitivity analysis to determine the main influencing parameters of the LSR function; and (3) design a quadratic regression orthogonal test to obtain the prediction formula of the LSR function coefficients. …”
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Identification of DNA N6-methyladenine modifications in the rice genome with a fine-tuned large language model by Yichi Zhang, Hao Chen, Shicheng Xiang, Zhibin Lv

“…This study provides a powerful tool for advancing research in rice 6mA epigenetics.…”
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Nanometer-Scale CO2-Shale Oil Minimum Miscibility Pressure Calculations Based on Modified PR-EOS by Yahui Bu, Qian Sun, Shuoran Fu, Lingkong Guo, Na Zhang

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Sensorless Control of Ultra-High-Speed PMSM via Improved PR and Adaptive Position Observer by Xiyue Bai, Weiguang Huang, Chuang Gao, Yingna Wu

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