Direct prismatic coefficient variation to hull form surface by Dayeon Jeong, Min-Jae Oh

“…Thus, we propose a method to directly apply CP variation onto the hull form surface, setting the variated section line as a constraint. …”
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Efficient Adaptive Robust Aerodynamic Design Optimization Considering Uncertain Inflow Variations for a Diffusion Airfoil Across All Operating Incidences by Zhengtao Guo, Lei Bao, Chaolong Li, Xianzhong Gao, Wuli Chu

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Numerical Solutions for the Nonlinear PDEs of Fractional Order by Using a New Double Integral Transform with Variational Iteration Method by Mohammed G. S. AL-Safi, Rand Muhaned Fawzi, Wurood R. Abd AL-Hussein

“…The combining of the DSET with a semi-analytical method, namely the variational iteration method DSETVIM, to arrive numerical solution of nonlinear PDEs of Fractional Order derivatives. …”
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Meta-learning approach for variational autoencoder hyperparameter tuning by Michele Berti, Matheus Camilo da Silva, Sebastiano Saccani, Sylvio Barbon Junior

“…Synthetic data generation is a promising alternative to traditional data anonymization, with Variational Autoencoders (VAEs) excelling at generating high-quality synthetic tabular datasets. …”
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Variational Autoencoder-Based Framework for Retail Sales Prediction by Fuyu Li, Lei Wang, Bo Jin

“…For example, intelligent inventory replenishment based on forecasted sales can help reduce inventory backlog and turnover periods, improving operational efficiency. This paper presents a variational autoencoder (VAE)-based framework for retail sales prediction, with three unique contributions. …”
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Cancer staging diagnosis based on transcriptomics and variational autoencoder by LI Jiarui, QIAN Li, SHEN Junjie

“…Subsequently, the performance efficiency of our IFRSVAE model was evaluated in conjunction with Random Forest (RF), Support Vector Machine(SVM), and eXtreme Gradient Boosting (XGboost), and it was also compared with other methods. …”
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Seasonal Variation In Cataract Surgery: A Myth or Reality? by Shekhar Mankad, Bennet Chacko Mathew, Dhaivat Shah

“…This causes problems with efficiency, quality and resource allocation. This study aims to analyse if seasonal variation exists and to determine the factors which can help in better planning for optimal utilisation of resources. …”
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Applications of information navigation method in wireless sensor networks by Wei WEI, Liang ZHANG, De-ke GUO, Pei-yi SHEN

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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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Night transpiration of peanut affects interspecific water complementarity and use efficiency in maize/peanut intercropping by Tianran Sun, Zhanxiang Sun, Zhe Zhang, Yue Zhang, Yajiaoxue Guo, Jinyu Zhang, Jiayi Nie, Zhi Dong, Zeshan Zhang, Chenjia Zhang, Xu Zhang, Chen Feng, Lizhen Zhang

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Twig age 2.0: A novel and reliable method to track variation in ungulate browsing over species, sites and time by Donald M. Waller

“…Abstract Ungulate (deer) browsing threatens forest diversity and tree regeneration, but without efficient and reliable methods, we cannot monitor these impacts. …”
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THE CLASSIFICATION AND THE EVALUATION OF THE MANAGEMENT CONSULTING METHODS by T. V. Chibikov

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Capacity allocation method for a hybrid energy storage system participating in secondary frequency regulation based on variational mode decomposition by Taiying Zheng, Minghao Ye, Qinghua Wu

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Favourable Variations': Towards a Refreshed Approach for the Interviewing Classroom by Jane Ching

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A Stochastic-Variational Model for Soft Mumford-Shah Segmentation by Jianhong (Jackie) Shen

“…In contemporary image and vision analysis, stochastic approaches demonstrate great flexibility in representing and modeling complex phenomena, while variational-PDE methods gain enormous computational advantages over Monte Carlo or other stochastic algorithms. …”
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Inductive Construction of Variational Quantum Circuit for Constrained Combinatorial Optimization by Hyakka Nakada, Kotaro Tanahashi, Shu Tanaka

“…In this study, we propose a new method for constrained combinatorial optimization using variational quantum circuits. …”
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Multi-label Classification Based on Label-Aware Variational Autoencoder by SUN Hongjian, XU Pengyu, LIU Bing, JING Liping, YU Jian

“…Therefore, in order to solve the above problems, this paper proposes a multi-label classification method based on label-aware variational self-encoder from embedding representation learning and label relevance learning. …”
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Spatial variation of functional structure of fish communities in the Bohai Sea by Jianyu Zou, Hanxu Wang, Xiujuan Shan, Harry Gorfine, Yiping Ren

“…Functional space and diversity are powerful methods for understanding ecological patterns and describing changes in fish communities. …”
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Variational Autoencoder Transfer Functions for Onshore Tsunami Hazard Curves by Willington Renteria, Patrick Lynett, Maile McCann, Behzad Ebrahimi, Hong Kie Thio, Ian Robertson, Chris Siverd, Betsy Hicks

“…Overall, the transfer function method efficiently estimates onshore tsunami hazard curves, together with model uncertainty quantification, without requiring computationally expensive numerical simulations.…”
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Synthesis of Nanofiltration Membrane with Silica Variation for Waste Water Reduction by Fadly Abdul Malik, Muhammad Fahmi Hakim, Teguh Pambudi

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