Development of a numerical method for solving optimization problems approximation of the function given approximately and its derivatives based on the variational approach by Igor Naats, Victoria Igorevna Naats, Elena Yartseva

Get full text

Solution of Nonlinear Partial Differential Equations by New Laplace Variational Iteration Method by Eman M. A. Hilal, Tarig M. Elzaki

“…The aim of this study is to give a good strategy for solving some linear and nonlinear partial differential equations in engineering and physics fields, by combining Laplace transform and the modified variational iteration method. This method is based on the variational iteration method, Laplace transforms, and convolution integral, introducing an alternative Laplace correction functional and expressing the integral as a convolution. …”
Get full text

Temporal evidence fusion evaluation method considering time sequence variation trend by Sunan Zhang, Yanxin Gao, Yuanchao Kou, Qichao Guo

“…Then, conflict information between evidence was interpreted as the temporal variation information of propositions. An evidence combination rule integrating temporal variation factors of propositions was proposed in this paper. …”
Get full text

Variational Iteration Method for Volterra Functional Integrodifferential Equations with Vanishing Linear Delays by Ali Konuralp, H. Hilmi Sorkun

“…Application process of variational iteration method is presented in order to solve the Volterra functional integrodifferential equations which have multi terms and vanishing delays where the delay function θ(t) vanishes inside the integral limits such that θ(t)=qt for 0<q<1, t≥0. …”
Get full text

Variational Iteration Transform Method for Fractional Differential Equations with Local Fractional Derivative by Yong-Ju Yang, Liu-Qing Hua

“…The method reduces the integral calculation of the usual variational iteration computations to more easily handled differential operation. …”
Get full text

Integrated Model Selection and Scalability in Functional Data Analysis Through Bayesian Learning by Wenzheng Tao, Sarang Joshi, Ross Whitaker

Get full text

Semi-supervised contrastive learning variational autoencoder Integrating single-cell multimodal mosaic datasets by Zihao Wang, Zeyu Wu, Minghua Deng

“…To address these challenges, we proposes a flexible integration framework based on Variational Autoencoder called scGCM. …”
Get full text

Integrative Analysis of Transcriptomic and Metabolomic Profiles Uncovers the Mechanism of Color Variation in the Tea Plant Callus by Mengna Xiao, Yingju Tian, Ya Wang, Yunfang Guan, Ying Zhang, Yuan Zhang, Yanlan Tao, Zengquan Lan, Dexin Wang

Get full text

A Hybrid Model Integrating Variational Mode Decomposition and Intelligent Optimization for Vegetable Price Prediction by Gao Wang, Shuang Xu, Zixu Chen, Youzhu Li

“…This study proposes a hybrid forecasting model integrating variational mode decomposition (VMD), the Fruit Fly Optimization Algorithm (FOA), and a gated recurrent unit (GRU). …”
Get full text

The integral equation methods for the perturbed Helmholtz eigenvalue problems by Abdessatar Khelifi

“…In this paper, we address the integral equation method in the evaluation of eigenfunctions and the corresponding eigenvalues of the two-dimensional Laplacian operator under boundary variations of the domain. …”
Get full text

UNDERSTANDING REGIONAL INTEGRATION VARIATION AND THE ADOPTION OF NEW TECHNOLOGY: EU AND ASEAN LEGAL FRAMEWORK ON ELECTROMOBILITY IN COMPARATIVE PERSPECTIVES by Asrul Ibrahim NUR

“…Furthermore, this study will discuss the variation and comparative influence of EU and ASEAN regional integration on adopting new technologies, namely EVs, in the context of climate change adaptation. …”
Get full text

MSVMD-Informer: A Multi-Variate Multi-Scale Method to Wind Power Prediction by Zhijian Liu, Jikai Chen, Hang Dong, Zizhuo Wang

“…Wind power prediction plays a crucial role in enhancing power grid stability and wind energy utilization efficiency. Existing prediction methods demonstrate insufficient integration of multi-variate features, such as wind speed, temperature, and humidity, along with inadequate extraction of correlations between variables. …”
Get full text

Investigation of patterns of variation in water quality indicators of the Iset River with the use of neuronet methods by Oleg M. Rosenthal, Vladislav K. Fedotov

MGV-seq: a sensitive and culture-independent method for detecting microbial genetic variation by Lun Li, Weiyu Kong, Jing Sun, Yongzhong Jiang, Tiantian Li, Zhihui Xia, Junfei Zhou, Zhiwei Fang, Lihong Chen, Shun Feng, Huiyin Song, Huafeng Xiao, Baolong Zhang, Bin Fang, Hai Peng, Hai Peng, Lifen Gao, Lifen Gao

“…To address these challenges, we developed MGV-Seq, an innovative culture-independent approach that integrates multiplex PCR, high-throughput sequencing, and bioinformatics to analyze multiple dispersed nucleotide polymorphism (MNP) markers, enabling high-resolution strain differentiation.MethodsUsing Xanthomonas oryzae as a model organism, we designed 213 MNP markers derived from 458 genome assemblies. …”
Get full text

Introduction and application of a drive-by damage detection methodology for bridges using variational mode decomposition by Shahrooz Khalkhali Shandiz, Hamed Khezrzadeh, Saeed Eftekhar Azam

Get full text

10 years’ cultural variation of Croatia from pre to post accession: the changed value and unchanged cultural position by Chunyan Wang, Ivica Bakota, Ivana Buljan, Yuhong Shang

Get full text

A finite element method for exterior interface problems by R. C. Maccamy, S. P. Marin

Get full text

Analysis of complex chromosomal structural variants through optical genome mapping integrated with karyotyping by Xiaoxi Zhu, Huiling Zheng, Xue Wan, Hang Duan, Ying Qi, Weijia Tang, Fan Yang, Fan Yang, Limei Yu, Limei Yu

Get full text

The variational theory of fracture: diffuse cohesive energy and elastic-plastic rupture by Riccardo March, Giovanni Lancioni, Gianpietro Del Piero

Get full text

A Novel Variational Bayesian Method Based on Student’s <i>t</i> Noise for Underwater Localization by Haoqian Huang, Yutong Zhang, Chenhui Dong

“…In underwater environments, the presence of multipath effects can cause measurement outliers in acoustic sensors, leading to reduced estimation accuracy for integrated navigation. To address this issue, this paper proposes a sliding window variational Kalman filter based on Student’s <i>t</i>-distribution (SWVKF-ST) to improve state estimation accuracy. …”
Get full text