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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Subsurface investigation for pre-foundation study utilizing integrated geophysical and geotechnical methods, UNILORIN campus by Gabriel Efomeh Omolaiye, Abdulhameed Kayode Oniyangi, Taofeeq Ayinde ISSA, Sodiq Bamidele Adam

“…Abstract This study involves subsurface investigation of a proposed site within senior staff quarters at the University of Ilorin campus utilizing the electrical resistivity technique, magnetic method and geotechnical analysis for the pre-foundation study. …”
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Crude Oil Futures Price Forecasting Based on Variational and Empirical Mode Decompositions and Transformer Model by Linya Huang, Xite Yang, Yongzeng Lai, Ankang Zou, Jilin Zhang

“…This model integrates a second decomposition and Transformer model-based machine learning method. …”
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Multiple positive solutions for a nonlocal problem with fast increasing weight and critical exponent by Xiaotao Qian, Zhigao Shi

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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

“…The disadvantage of this method is that the above system is not always easy to solve. …”
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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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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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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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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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Spatiotemporal Variation Characteristics and Influencing Factors of Water Quality in the Anhui Section of Yangtze River by FENG Jia-cheng, CAO Xue-kang, TAO Li, HUA Fei, WU Kang

“…[Methods] Based on daily water quality data from 29 national assessment sections in the Anhui section of the Yangtze River from 2021 to 2023, this study adopted the comprehensive water quality index method to evaluate water quality, and integrated principal component analysis, correlation analysis, and other methods to explore the spatiotemporal variation and influencing factors of water quality. …”
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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 Transiting Giant on a 7.7 yr Orbit Revealed by Transit Timing Variations in the TOI-201 System by Gracjan Maciejewski, Weronika Łoboda

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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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