FaultVitNet: A Vision Transformer Assisted Network for 3D Fault Segmentation by Chao Li, Sergey Fomel, Yangkang Chen, Robin Dommisse, Alexandros Savvaidis

“…The proposed vision‐transformer‐assisted network (FaultVitNet) exploits a hybrid attention mechanism for feature extraction, enabling the network to capture the global distribution information of faults. …”
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“We Need to Think about the Grammar”: Practices for Opening Explanations on Language and Changing their Linguistic Focus by Mark Romig

“…In a nutshell, openings involve some problematization of prior talk, cores provide a candidate solution to said problem, and closings involve acceptance of that candidate solution. …”
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SEMPNet: enhancing few-shot remote sensing image semantic segmentation through the integration of the segment anything model by Wei Ao, Shunyi Zheng, Yan Meng

“…The method generates a set of masks for each image using SAM, transforming the segmentation task into a mask classification problem. To precisely classify each mask, we calculate pixel-wise correlations between each mask and the support features through cross-image position attention. …”
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Species distribution modelling using MaxEnt: overview and prospects by Yuliia Novoseltseva

“…It is precisely this feature of MaxEnt that makes it an indispensable tool for biodiversity research based on historical data. …”
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User preference information recommendation based on DCGNN and GNNPK algorithms by Nannan Cheng, Xiaoyang He

“…On this basis, knowledge graph technology was introduced to deepen the understanding and feature extraction of user preference information. …”
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Methodology for Assessing the Risks of Information Enterprise Security Using Case Technologies by А. V. Gavrilov, V. A. Sizov, E. V. Yaroshenko

“…As a result of the application of the technique, a loss matrix is formed, showing the problem areas in the organization of information protection, which should be given priority attention when planning information security measures. …”
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A Study on Surface Anomaly Detection for Metro Vehicle Underbody Parts Based on 3D Point Cloud by PENG Liantie, LI Chen, XIONG Minjun, YAN Jiayun, CUI Xiaoyang, LIU Leixinyuan

“…This can help reflect the surface features of components more precisely and contribute to accurate anomaly detection. …”
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PCB Electronic Component Soldering Defect Detection Using YOLO11 Improved by Retention Block and Neck Structure by Youzhi Xu, Hao Wu, Yulong Liu, Xing Zhang

“…The single-stage target detection algorithm has a faster running time, but the detection accuracy needs to be improved. To solve this problem, we innovated and modified the YOLO11n model. …”
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Automatic Detection of Concrete Spalling Using Piecewise Linear Stochastic Gradient Descent Logistic Regression and Image Texture Analysis by Nhat-Duc Hoang, Quoc-Lam Nguyen, Xuan-Linh Tran

“…Based on these extracted features, PL-SGDLR is employed to categorize image samples into two classes of “nonspall” (negative class) and “spall” (positive class). …”
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A Weak Solution for a Nonlinear Fourth-Order Elliptic System with Variable Exponent Operators and Hardy Potential by Khaled Kefi, Mohamad M. Al-Shomrani

“…A key feature of the system is the presence of a Hardy-type singular term with a variable exponent, where <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>δ</mi><mo>(</mo><mi>x</mi><mo>)</mo></mrow></semantics></math></inline-formula> represents the distance from <i>x</i> to the boundary <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>∂</mo><mi mathvariant="script">D</mi></mrow></semantics></math></inline-formula>. …”
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Defining Arabism: the Contestation of Arab Identity in the Hadrami Community in Betawi by Fajar Syarif

“…The hadrami community in Betawi made religion a distinctive feature of Arab identity, thus causing conflict between the hadrami community in defining Arabism. …”
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INS/LiDAR Relative Navigation Design Based on Point Cloud Covariance Characteristics for Spacecraft Proximity Operation by Dongyeon Park, Hyeongseob Shin, Sangkyung Sung

“…To solve this problem, this paper performed a principal component analysis (PCA) based on ICP to align the initial transformation matrix. …”
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ETC-PCR: Coarse-to-Fine Edge-Triangle Compatibility for Robust and Accurate Point Cloud Registration by Mingyuan Zhao, Long Xu

“…However, despite advances in deep learning for feature extraction and matching, the presence of a low inlier ratio often complicates the estimation process. …”
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Classification of fashion e-commerce products using ResNet-BERT multi-modal deep learning and transfer learning optimization. by In-Jae Seo, Yo-Han Lee, Beakcheol Jang

“…In addition, five methods for fusing feature vectors extracted from a single modal into one and six strategies for fine-tuning multi-modal models are presented, featuring a total of 14 strategies. …”
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A novel mutual information-based Boolean network inference method from time-series gene expression data. by Shohag Barman, Yung-Keun Kwon

“…<h4>Background</h4>Inferring a gene regulatory network from time-series gene expression data in systems biology is a challenging problem. Many methods have been suggested, most of which have a scalability limitation due to the combinatorial cost of searching a regulatory set of genes. …”
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UP-FRONT TRIPLE COMBINATION THERAPY FOR PULMONARY ARTERIAL HYPERTENSION ASSOCIATED WITH SYSTEMIC SCLEROSIS: A CASE REPORT by A. V. Volkov, N. N. Yudkina, E. V. Nikolaeva, I. A. Kurmukov

“…Introduction of current PAH-specific drugs has not solved the problem of follow-up of critical patients with PAH associated with systemic sclerosis (SSc). …”
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Tunnel face rock mass class rapid identification based on TBM cutterhead vibration monitoring and deep learning model by Qisheng Tang, Qingsong Hu, Ganggang Wang, Xiangjin Liu, Puyue Huang

“…Abstract Rapid identification of the rock mass condition at the tunnel face is a key problem for TBM operating parameters optimization and subsequent tunnel support measures selection. …”
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QuantumNet: An enhanced diabetic retinopathy detection model using classical deep learning-quantum transfer learning by Manish Bali, Ved Prakash Mishra, Anuradha Yenkikar, Diptee Chikmurge

“…Quantum computing, leveraging quantum mechanics, offers revolutionary potential for faster problem-solving across fields like cryptography, optimization, and medicine. …”
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The data dimensionality reduction and bad data detection in the process of smart grid reconstruction through machine learning. by Bo Yu, Zheng Wang, Shangke Liu, Xiaomin Liu, Ruixin Gou

“…To detect false data injection attacks (FDIAs) in power grid reconstruction and solve the problem of high data dimension and bad abnormal data processing in the power system, thereby achieving safe and stable operation of the power grid system, this study introduces machine learning methods to explore the detection of FDIAs. …”
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A novel pansharpening method based on cross stage partial network and transformer by Yingxia Chen, Huiqi Liu, Faming Fang

“…Abstract In remote sensing image fusion, the conventional Convolutional Neural Networks (CNNs) extract local features of the image through layered convolution, which is limited by the receptive field and struggles to capture global features. …”
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