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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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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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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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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Mechanical characteristics of coal under differential cyclic loading after dry-wet cyclic treatment by LIU Huafeng

“…Two test modes were designed: Mode 1 featured rapid loading and slow unloading, while Mode 2 involved slow loading and rapid unloading. …”
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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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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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Extract and Powder of Epilobium Angustifolium in Bakery Products by Nevskaya E., Zueva A., Belyaev A.

“…The modern food industry is currently facing the problem of the appropriate use of inexpensive and affordable domestic plant materials as an important source of vital substances. …”
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Research and Implementation of Travel Aids for Blind and Visually Impaired People by Jun Xu, Shilong Xu, Mingyu Ma, Jing Ma, Chuanlong Li

“…., walking sticks, basic audio feedback) provide limited flexibility and interactivity for complex environments. To solve this problem, we propose a real-time travel assistance system based on deep learning. …”
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Mean-Field-Type Transformers by Hamidou Tembine, Manzoor Ahmed Khan, Issa Bamia

“…For instance, the variance reduction in error within generative machine intelligence is a mean-field-type problem and does not involve an infinite number of decision-makers. …”
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Forward geometric model prediction of a 6-RSU parallel manipulator using a modified NARX Bayesian neural network by Alaa Aldeen Joumah, Assef Jafar, Chadi Albitar

“…While recent studies have successfully employed machine learning to predict the Forward Geometric Model (FGM) of a 6-DOF (degrees of freedom) parallel manipulator, traditional methods lack predictive uncertainty estimation.In this study, we propose a novel approach to enhance FGM prediction for a 6-RSU (Revolute-Spherical-Universal) parallel manipulator using a modified NARX-BNN (Nonlinear Autoregressive with Exogenous Inputs - Bayesian Neural Network).The proposed NARX-BNN model benefits from a synergistic combination of the BNN structure's powerful universal approximation feature and uncertainty estimation, and the nonlinear ARX model's strong predictive capability.The simulation and experiment results demonstrate the superiority of the proposed NARX-BNN model over traditional Bayesian shallow neural network employing the Variational inference method for this problem. …”
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Cloud-Edge Collaborative Defect Detection Based on Efficient Yolo Networks and Incremental Learning by Zhenwu Lei, Yue Zhang, Jing Wang, Meng Zhou

“…Through the incorporation of these modules, the model notably enhances feature extraction and computational efficiency while reducing the model size and computational load, making it more conducive for deployment on edge devices. …”
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Assessment of Teaching Quality of Traditional Decorative Patterns in Colleges and Universities Using an MCDM Approach and Circular Intuitionistic Information by Zi Wang, Liping Pan

“…An intelligent algorithm is provided involving prioritization of attributes and experts based on proposed AOs to evaluate the multi-criteria group decision-making (MCGDM) problem, particularly in assessing teaching quality. …”
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Towards Automatic Deductive Verification of C Programs with Sisal Loops Using the C-lightVer System by Dmitry A. Kondratyev

“…Cloud Sisal is an input language of CPPS. The main feature of CPPS is implicit parallel execution based on automatic parallelization of Cloud Sisal loops. …”
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