On the Hub Number of Ring Graphs and Their Behavior Under Graph Operations by Mohammed Alsharafi, Haifa Ahmed, Saad Tobaili

“…The results of this study advance our knowledge of the features and structural attributes of ring graphs, which could benefit many domains involving network analysis and complex systems. …”
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IDIOPATHIC LOBULAR PANNICULITIS IN RHEUMATOLOGY PRACTICE: THE AUTHORS’ OWN DATA by O. N. Egorova, B. S. Belov, S. I. Glukhova, S. G. Radenska-Lopovok

“…Objective: to investigate the relationship between the clinical presentation of ILP and immune inflammatory parameters in patients with this disease.Subjects and methods. …”
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Prediction of Halo Coronal Mass Ejections Using SDO/HMI Vector Magnetic Data Products and a Transformer Model by Hongyang Zhang, Ju Jing, Jason T. L. Wang, Haimin Wang, Yasser Abduallah, Yan Xu, Khalid A. Alobaid, Hameedullah Farooki, Vasyl Yurchyshyn

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Gesture Recognition System Based on Time-Frequency Point Density of sEMG by Qiang Wang, Yao Chen, Chunhua Sheng, Shuaidi Song

“…This method innovatively uses the time-frequency point density (TFPD) as the characteristic parameter of the sEMG, and then adaptively normalizes the feature extraction results in the interval [−1,1]. …”
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Copper Nodule Defect Detection in Industrial Processes Using Deep Learning by Zhicong Zhang, Xiaodong Huang, Dandan Wei, Qiqi Chang, Jinping Liu, Qingxiu Jing

“…The model employs MobileNetV3, a lightweight feature extraction network, as its backbone, reducing the parameter count and computational complexity. …”
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Predicting the thermal conductivity of polymer composites with one-dimensional oriented fillers using the combination of deep learning and ensemble learning by Yinzhou Liu, Weidong Zheng, Haoqiang Ai, Lin Cheng, Ruiqiang Guo, Xiaohan Song

“…Using Od as a feature, random forest regression (RFR) was used to predict the TC, and the accuracy R2 reached 0.954 on the test set, which was higher than that of CNN control group. …”
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Physical Information Neural Network-Based Seepage Behavior Analysis of Earth and Rock Dams by XUE binghan, HUANG zhenhua, LEI Jianwei, FANG Hongyuan

“…This substantially enhances computational efficiency.…”
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Leveraging Vision Foundation Model via PConv-Based Fine-Tuning with Automated Prompter for Defect Segmentation by Yifan Jiang, Jinshui Chen, Jiangang Lu

“…The Segment Anything Model (SAM) has shown exceptional performance across various downstream tasks, owing to its vast semantic knowledge and strong generalization capabilities. However, the feature distribution discrepancy, reliance on manually labeled prompts, and limited category information of SAM reduce its scalability in industrial settings. …”
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Mathematical Modeling of Cyberattack Defense Mechanism Using Hybrid Transfer Learning With Snow Ablation Optimization Algorithm in Critical Infrastructures by Mohamad Khairi Ishak

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Current-sensorless robust sliding mode control for the DC-DC boost converter by Said Oucheriah, Abul Azad

“…A linear sliding surface is used to derive the controller that is simple in its design and yet exhibits excellent features in terms of robustness to external disturbances, parameter uncertainties, and parasitics, despite the absence of the inductor current feedback. …”
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Compact, Angled Polarization Splitter: Characterization of Broadband Performance and Fabrication Tolerance by Yannick D'Mello, Eslam El-Fiky, James Skoric, Amar Kumar, Michael Hui, Yun Wang, Laurent Guenin, David Patel, David V. Plant

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Atomic Many-Body Selectivity in Cubic CsPbI₃ Solar Cell Memristor by Luis Craco, Sabrina S. Carara

“…Considering realistic Coulomb parameter values and Pb-spin-orbit interaction, we uncover relevant key features in the one-particle spectral functions for the Pb-6<i>p</i> and I-5<i>p</i> orbitals of semiconducting CsPbI₃ bulk crystal and the role played by <i>p</i> and <i>n</i> doping relevant for band-selective metallicity and current-voltage characteristics. …”
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L-ENet: An Ultralightweight SAR Image Detection Network by Yutong Wang, Min Miao, Shiliang Zhu

“…Experimental results show that L-ENet has a computational cost of 0.6 M and a parameter count of 2.1 giga floating point operations per second. …”
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Optimal feedback control of dynamical systems via value-function approximation by Kunisch, Karl, Walter, Daniel

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A lightweight real-time unified detection model for rice and wheat ears in complex agricultural environments by Xiaojun Shen, Shuai Li, Fen Qiu, Lili Yao

“…The model utilizes the lightweight MobileNetV3 network combined with the dynamic detection head DyHead to reconstruct the YOLOv5s network. Through multi-scale feature aggregation and attention mechanisms, the model effectively enhances its ability to capture dense targets in complex scenarios while reducing computational redundancy. …”
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Individual Tree Segmentation Based on Region-Growing and Density-Guided Canopy 3-D Morphology Detection Using UAV LiDAR Data by Shihua Li, Shunda Zhao, Zhilin Tian, Hao Tang, Zhonghua Su

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Extracting Knowledge from Machine Learning Models to Diagnose Breast Cancer by José Manuel Martínez-Ramírez, Cristobal Carmona, María Jesús Ramírez-Expósito, José Manuel Martínez-Martos

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Machine learning enabled assessment of the vacuum freeze-drying of the kiwifruit by Uzair Sajjad, Farzana Bibi, Imtiyaz Hussain, Naseem Abbas, Muhammad Sultan, Hafiz Muhammad Asfahan, Muhammad Aleem, Wei-Mon Yan

“…The performance of the VFD system is sensitive to the operating conditions and features of the drying product which is assessed using experimental and/or numerical methods. …”
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GDS-YOLOv7: A High-Performance Model for Water-Surface Obstacle Detection Using Optimized Receptive Field and Attention Mechanisms by Xu Yang, Lei Huang, Fuyang Ke, Chao Liu, Ruixue Yang, Shicheng Xie

“…The proposed system implements three key innovations: (1) Architectural optimization through replacement of the Spatial Pyramid Pooling Cross Stage Partial Connections (SPPCSPC) module with GhostSPPCSPC for expanded receptive field representation. (2) Integration of a parameter-free attention mechanism (SimAM) with refined pooling configurations to boost multi-scale detection sensitivity, and (3) Strategic deployment of depthwise separable convolutions (DSC) to reduce computational complexity while maintaining detection fidelity. …”
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Cascade Nonlinear Observer-Based Speed-Sensorless Adaptive Twisting Sliding Mode Control of Linear Induction Motor by Lei Zhang, Xiaodong Xie, Dabiao Wu, Zicheng Wang, Jianli Wang, Jiaxin Jing, Huazhen Deng, Junkai Li, Jie Huang, Jingli Huang

“…This feature significantly enhances the practical applicability of the control system in real-world industrial environments. …”
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