Multiple solutions for a singular fractional Kirchhoff problem with variable exponents by Najla Alghamdi, Abdeljabbar Ghanmi

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Intelligent Casting Quality Inspection Method Integrating Anomaly Detection and Semantic Segmentation by Min-Chieh Chen, Shih-Yu Yen, Yue-Feng Lin, Ming-Yi Tsai, Ting-Hsueh Chuang

“…In actual practice, we found that an insufficient workforce limits traditional manual inspection methods and often creates difficulty in unifying quality judgment standards. …”
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Electricity pinch analysis method for flexibility supply-demand matching in power systems by Yaling Mao, Tiejiang Yuan, Xueqin Tian, Yue Teng

“…Leveraging the theoretical framework of pinch technology from process engineering, this paper proposes an Electricity Pinch Analysis (EPA) method for flexibility assessment. First, the net-load profile is decomposed by successive variational mode decomposition (SVMD) optimized with the Red-billed Blue Magpie Optimization (RBMO) algorithm to construct a flexibility demand model. …”
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Blockchain-enabled KYC integration for CLV optimization with robust M-Estimation and IRLS method by Marischa Elveny, Mahyuddin K.M. Nasution, Fanindia Purnamasari, Tengku Siti Meriam Tengku Wook

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Calculation method of line loss rate of substation areas considering tidal current variation with photovoltaic power generation access by Shengbo Sun, Chao Cheng, Shujun Ji, Wei Cui, Wei Ge, Shifang Hao

“…Through simulation tests, the maximum MAPE of this method is only 0.5% for both cases. The method achieves high-accuracy line-loss rate calculations while considering power flow variations after PV integration.…”
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About One Variational Problem, Leading to а Biharmonic Equation, and about the Approximate Solution of the Main Boundary Value Problem for this Equation by I. N. Meleshko, P. G. Lasy

“…Many important questions in the theory of elasticity lead to a variational problem associated with a biharmonic equation and to the corresponding boundary value problems for such an equation. …”
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VAE-WACGAN: An Improved Data Augmentation Method Based on VAEGAN for Intrusion Detection by Wuxin Tian, Yanping Shen, Na Guo, Jing Yuan, Yanqing Yang

“…This model extends the Variational Autoencoder Generative Adversarial Network (VAEGAN) by integrating key features from the Auxiliary Classifier Generative Adversarial Network (ACGAN) and the Wasserstein Generative Adversarial Network with Gradient Penalty (WGAN-GP). …”
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Enhancing Fault Diagnosis: A Hybrid Framework Integrating Improved SABO with VMD and Transformer–TELM by Jingzong Yang, Xuefeng Li, Min Mao

“…To address this challenge, this study proposes an intelligent diagnostic method that integrates variational mode decomposition (VMD) optimized by the improved subtraction-average-based optimizer (ISABO) with transformer–twin extreme learning machine (Transformer–TELM) ensemble technology. …”
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SPIRITUAL SCOUTCRAFT: METHODS DEPLOYED FOR RELIGIOUS CHARACTER VALUES INTEGRATION AT PONTIANAK'S ISLAMIC-BASED ELEMENTARY SCHOOLS by Hayyu Erinda, Ali Imron, Sunarni Sunarni

“…This research explores methods for integrating religious values in scouting, focusing on interaction dynamics, challenges, and solutions at SDIT Al-Mumtaz. …”
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Exploitation of ARIMA and Annual Variations Model for SAR Interferometry Over Permafrost Scenarios by Wenyan Yu, Xiao Cheng, Mi Jiang

“…Furthermore, the influence of interannual temperature variations on annual freeze–thaw cycles has not been fully integrated into InSAR modeling thus far. …”
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Study on the displacement and stress variation of frozen curtain during excavation of subway cross passage by Junhao Chen, Zebiao You, Jianlin Wang

“…Understanding the deformation behavior of the frozen curtain during excavation is crucial when employing artificial freezing methods in construction. This study uses indoor frozen soil experiments and numerical simulations to determine the compressive and flexural strengths of the frozen curtain, along with its displacement and stress variation patterns. …”
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VMD‐FBCCA classification method for SSVEP brain–computer interfaces by Ping Tan, Fengsheng Wang, Kaijun Zhou, Yi Shen

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Study on Detection of the Bearing Stratum Integrity of Bored Pile Based on Transient Electromagnetic Method by Chunwei Pan, Guocai Zhang, Sheng Chen, Fangkun Zheng, Xue Liu

“…Further, through on-site hole digging and sampling, it is found that the slag sample in the area above 50 m of the stratum of pile Y1 is wet, and the slag sample below 50 m is dry without argillaceous interlayer, which verifies the effectiveness of transient electromagnetic detection method. Because the transient electromagnetic detection technology does not need drilling and the detection process is convenient, it may provide a new means for quickly detecting the integrity of the bearing layer of bored cast-in-place pile in bridge construction.…”
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Quadrature Rules and Iterative Method for Numerical Solution of Two-Dimensional Fuzzy Integral Equations by S. M. Sadatrasoul, R. Ezzati

“…We introduce some generalized quadrature rules to approximate two-dimensional, Henstock integral of fuzzy-number-valued functions. We also give error bounds for mappings of bounded variation in terms of uniform modulus of continuity. …”
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Implementation of the Prototype Method in Developing a Questionnaire Information System for Integrated Survey Services by Rhoedy Setiawan, Zainur Romadhon, Alvin Rainaldy Hakim

“…The advancement of information technology has driven educational institutions to enhance the efficiency and quality of both academic and non-academic services through more integrated survey systems. Universitas Muria Kudus (UMK) still relies on manual survey methods, leading to data duplication, input errors, and delays in analysis. …”
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A lithofacies modeling method based on a new integrated algorithm and its application by LEI Cheng,CUI Bingkai,ZHAI Guanghua,YE Yu,XU Qingyan,ZHANG Jinlin

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Short-Term Power Prediction Method for Photovoltaic Power Plants Based on ECA-MTGNN Integration by HUANG Congzhi, LIU Yantong

“…To address the issue of low accuracy in short-term power prediction for photovoltaic (PV) power plants, this paper proposes a power prediction method that integrates an Efficient Channel Attention Mechanism and a Multivariate Time Series Graph Neural Network (ECA-MTGNN). …”
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Numerical experiments in 2D variational fracture by M. Angelillo, A. Fortunato, E. Babilio, M. Lippiello, L. Cardamone

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Towards sustainable architecture: Enhancing green building energy consumption prediction with integrated variational autoencoders and self-attentive gated recurrent units from mult... by Qing Zeng, Fang Peng, Xiaojuan Han

“…This study addresses these challenges by proposing an advanced deep learning framework that integrates Time-Dependent Variational Autoencoder (TD-VAE) with Adaptive Gated Self-Attention GRU (AGSA-GRU). …”
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A Double-Inertial Two-Subgradient Extragradient Algorithm for Solving Variational Inequalities with Minimum-Norm Solutions by Ioannis K. Argyros, Fouzia Amir, Habib ur Rehman, Christopher Argyros

“…In this paper, we propose a novel iterative algorithm for solving VIPs in real Hilbert spaces. The method integrates a double-inertial mechanism with the two-subgradient extragradient scheme, leading to improved convergence speed and computational efficiency. …”
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