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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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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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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DeepLabV3+-Based Semantic Annotation Refinement for SLAM in Indoor Environments by Shuangfeng Wei, Hongrui Tang, Changchang Liu, Tong Yang, Xiaohang Zhou, Sisi Zlatanova, Junlin Fan, Liping Tu, Yaqin Mao

“…The proposed method utilizes MobileNetV3 as the backbone network for DeepLabV3+ to maintain segmentation accuracy while reducing computational demands. In this paper, we introduce a parameter-adaptive Density-Based Spatial Clustering of Applications with Noise (DBSCAN) clustering algorithm incorporating K-nearest neighbors and accelerated by KD-tree structures, effectively addressing the limitations of manual parameter tuning and erroneous annotations in conventional methods. …”
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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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Investigating Silicate, Carbon, and Water in the Diffuse Interstellar Medium: The First Shots from WISCI by S. T. Zeegers, Jonathan P. Marshall, Karl D. Gordon, Karl A. Misselt, G. P. P. L. Otten, Jeroen Bouwman, Jean Chiar, Marjorie Decleir, Thavisha Dharmawardena, F. Kemper, Aigen Li, Mayank Narang, Alexey Potapov, Manoj Puravankara, Peter Scicluna, Himanshu Tyagi, Eleonora Zari, ChuanYu Wei, Lex Kaper, Frank Backs, Stefan T. Bromley, Laurie Chu, Elisa Costantini, T. R. Geballe, Joel D. Green, Chamani Gunasekera, Burcu Günay, Thomas Henning, Olivia Jones, Joan Mariñoso Guiu, Melissa McClure, Yvonne J. Pendleton, Julia C. Roman-Duval, Tomer Shenar, Alexander G. G. M. Tielens, L. B. F. M. Waters

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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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Evaluation of the pharmacological potential of N-((5-phenyl-6,11-dihydro-[1,2,4]triazolo[1’,5’:1,6]pyrido[3,4-b]indol-2-yl)methyl)benzamides by S. O. Fedotov

“…Advanced molecular docking techniques were employed to identify potential binding sites with model enzymes and to characterize the energetic and spatial features of ligand-target interactions. Ligand structures were generated using MarvinSketch 6.3.0, HyperChem 8, and AutoDock Tools 1.5.6, while protein targets were prepared with Discovery Studio 4.0 and AutoDock Tools 1.5.6. …”
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RAMAS-Net: a module-optimized convolutional network model for aortic valve stenosis recognition in echocardiography by Yejia Gan, Wanzhong Huang, Yan Deng, Xiaoying Xie, Yuanyuan Gu, Yaozhuang Zhou, Qian Zhang, Maosheng Zhang, Yangchun Liu

“…The model enhanced the ResNet50 backbone by replacing Stage 4 with Spatial and Channel Reconstruction Convolution (SCConv) and Multi-Dconv Head Transposed Attention (MDTA) modules, aiming to reduce redundant computations and improve feature extraction capabilities.ResultsThe proposed method was evaluated on the TMED-2 echocardiography dataset, achieving an accuracy of 94.67%, an F1-score of 94.37%, and an AUC of 0.95 for AS identification. …”
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An Overview of the Application of Harmony Search for Chemical Engineering Optimization by R. M. Fonseca-Pérez, O. Del-Mazo-Alvarado, A. Meza-de-Luna, A. Bonilla-Petriciolet, Z. W. Geem

“…The main features of the HS method and several of its popular variants and hybrid versions including their relevant algorithm characteristics are described and discussed. …”
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Seismic Shear Strength Prediction of Reinforced Concrete Shear Walls by Stacking Multiple Machine Learning Models by Siming Tian, Xiangyong Ni, Yang Wang

“…Machine learning (ML) technology can deeply capture the mapping relationship between each input feature and the target value, and provide a more flexible and effective prediction method for RCSW shear-bearing capacity. …”
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Analytical and Dynamical Study of Solitary Waves in a Fractional Magneto-Electro-Elastic System by Sait San, Beenish, Fehaid Salem Alshammari

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A 2D linear canonical transform partition algorithm(二维线性正则变换剖分算法) by 赵伟康(ZHAO Weikang), 侯建伟(HOU Jianwei), 刘晴晴(LIU Qingqing)

“…It selects appropriate expression to approximate regional image pixels by utilizing the flexibility of multi-parameter linear canonical transform. The partition rectangle number in each 16×16 grid forms the feature matrix which is then combined with Arnold transform to establish a lightweight image protection method that can resist different forms of attacks. …”
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Fingerprint-based Wi-Fi indoor localization using map and inertial sensors by Xingwang Wang, Xiaohui Wei, Yuanyuan Liu, Kun Yang, Xuan Du

“…Second, we design a Wi-Fi signal propagation-based cluster algorithm to reduce the amount of computation. The paper gives a parameter called reliability to overcome the skewing of inertial sensors. …”
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Selecting of statins optimum dosage regimen in patients with acute Q-wave myocardial infarction after thrombolytic therapy by V. D. Syvolap, S. M. Kyselov, A. A. Alferov

“…Further studies of pathogenetic mechanisms and the clinical features of the course of acute Q-wave myocardial infarction left ventricular allow to identify possible ways of preventing life-threatening complications and optimize treatment tactics…”
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