Analysis, Design, and Implementation of a User-Friendly Differential Privacy Application by Reynardo Tjhin, Muhammad Sajjad Akbar, Clement Canonne, Rabia Bashir

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First-principles calculations to investigate the bulk, electronic, optical and thermoelectric properties of BaGe2As2 and BaGe2P2 alloys by Debora Nameme, George S. Manyali, Michael Nakitare Waswa, Job W. Wafula

“…Lastly, the figure of merit values determined in this study are considered approximations since the lattice thermal conductivities of complex BaGe2As2 and BaGe2P2 compounds were not computed due to limited computational resources.…”
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Analysis of Flow-induced Vibration Characteristics of Fuel Rods Using POD and DMD Methods by MIN Guangyun1, JIANG Naibin1, 2

“…This model serves as the cornerstone for a computational analysis of flow-induced vibration responses utilizing ANSYS Batch, firmly roots in the principles of random vibration theory. …”
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Tensor network finite-size scaling for two-dimensional 3-state clock model by Debasmita Maiti, Sing-Hong Chan, Pochung Chen

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A Novel Approach to Strengthening Cryptography Using RSA, Efficient Domination and Fuzzy Logic by Ghulam Muhiuddin, Annamalai Meenakshi, Janusz Kacprzyk, Ganesan Ambika, Hossein Rashmamlou

“…Efficient domination is an idea based on graph theory, specifically in the investigation of domination in graphs. …”
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MATHEMATICAL MODELS OF DECISION SUPPORT IN THE PROBLEMS OF LOGISTICS NETWORKS OPTIMIZATION by Володимир Валентинович Безкоровайний, Оксана Михайлівна Драз

“…The following methods are used: systems theory, utility theory, optimization and operations research. …”
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Search Strategy Optimization of Affine Propagation Clustering Algorithm by DONG Jing-wei, ZHANG Tian-qi, LIU Yang, YANG Guang

“…For multi floor fingerprint location, large scale fingerprint samples increase the complexity of the matching algorithm, which not only hinders the realtime performance of the system, but also increases the energy loss of the mobile terminal.According to the theory of affinity propagation clustering algorithm, we can reduce the amount of computation.Fingerprint sample search in complex environment usually adopts the binary search method, and the optimal parameters for bias results clustering quality of the coarse positioning stages, but this method takes a long time.In the calculation of quality guarantee under the premise, in order to improve the clustering speed, the coarse positioning stage and the matching process, and gives the method to improve the binary search method.The experimental results show that the clustering of the same sample space, the binary search method the optimized algorithm can reduce the number of iterations, improve the work efficiency of the system, and the use of the iteration time is 74.5% shorter than the traditional binary search method.…”
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Prediction Method and Characteristics of Static Acoustic Scattering for Marine Composite Propellers by Suchen XU, Zilong PENG, Fulin ZHOU, Xuhong MIU, Huicheng KE

“…This study introduces a hybrid approach to predict the acoustic scattering characteristics of composite propellers featuring variable thickness and complex curvature. The approach combines the Kirchhoff approximation (KA), which employs an intersection algorithm (IA) for determining the thickness of discrete surface elements, with the theory of orthotropic laminate transfer matrix (OLTM). …”
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Elastic constants from charge density distribution in FCC high-entropy alloys using CNN and DFT by Hossein Mirzaee, Ramin Soltanmohammadi, Nathan Linton, Jacob Fischer, Serveh Kamrava, Pejman Tahmasebi, Dilpuneet Aidhy

“…While high-entropy alloys (HEAs) present exponentially large compositional space for alloy design, they also create enormous computational challenges to trace the compositional space, especially for the inherently expensive density functional theory calculations (DFT). …”
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Symbolic approximations to Ricci-flat metrics via extrinsic symmetries of Calabi–Yau hypersurfaces by Viktor Mirjanić, Challenger Mishra

“…Ever since Yau’s non-constructive existence proof of Ricci-flat metrics on Calabi–Yau (CY) manifolds, finding their explicit construction remains a major obstacle to development of both string theory and algebraic geometry. Recent computational approaches employ machine learning to create novel neural representations for approximating these metrics, offering high accuracy but limited interpretability. …”
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UAM Vertiport Network Design Considering Connectivity by Wentao Zhang, Taesung Hwang

“…The results show that the proposed hybrid methodology not only yields high-quality solutions but also significantly reduces computational time, enabling faster convergence. Overall, this study provides practical insights for UAM infrastructure planning by emphasizing demand-oriented vertiport siting and inter-vertiport connectivity, thereby contributing to both theoretical development and large-scale implementation in complex urban environments.…”
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Analysis of plant metabolomics data using identification‐free approaches by Xinyu Yuan, Nathaniel S. S. Smith, Gaurav D. Moghe

“…These methods include molecular networking, distance‐based approaches, information theory–based metrics, and discriminant analysis. Additionally, we explore their practical applications in plant science and highlight a set of useful tools to support researchers in analyzing complex plant metabolomics data. …”
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Zero-Sum Game-Based Tracking Control for Fully-Coupled Nonaffine AUV With Unknown Affine Disturbance Using Critic Network by Gaofeng Che, Xiaoqiang Hu

“…In the process of water quality monitoring, autonomous underwater vehicle (AUV) is required to track desired trajectory. And AUV is a very complex nonlinear systems and exhibits fully-coupled and nonaffine properties. …”
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Prediction and Parameter Optimization of Surface Settlement Induced by Shield Tunneling Using Improved Informer Algorithm by Shisen Zhao, Xianda Feng, Kefeng Peng

“…Given the complex mechanism of surface settlement induced by shield tunneling, accurate prediction of surface settlement and rational design of tunneling parameters are critical for ensuring safe and efficient tunneling operations. …”
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Configuring adaptive PID-controllers of the automatic speed control system of the GTE by K. E. Chertilin, V. D. Ivchenko

“…The problem of designing adaptive systems is one of the most important in control theory and related fields. This is conditioned by two factors: the complexity of solving the problem as a whole and the presence of a large number of technically diverse situations that need to be adapted and optimized. …”
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STRUCTURAL SYNTHESIS OF NAVIGATION SUPPORT OF TRIAD INTEGRATED NAVIGATION SYSTEM ON THE BASIS OF INERTIAL AND SATELLITE TECHNOLOGIES by V. S. Maryukhnenko, V. V. Erokhin

“…Based on optimal filtering theory methods the integrated navigation data processing algorithm, which is an extended Kalman filter, is synthesized. …”
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Energy-Efficient Data Recovery via Greedy Algorithm for Wireless Sensor Networks by Zhi-qiang Zou, Ze-ting Li, Shu Shen, Ru-chuan Wang

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Revolutionizing Image Encryption: Introducing the Beta Wavelet Map and DNA Coding Paradigm by Amani Fallah, Monia Hamdi, Nazik Alturki, Oumaima Saidani, Mourad Zaied

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Multi-Objective Robust Optimization Reconstruction Algorithm for Electrical Capacitance Tomography by Xuejie Yang, Jing Lei, Qibin Liu

“…Utilizing the regularization theory, the multimodal learning prior image, sparsity prior, and measurement physics are incorporated into a novel lower-level optimization problem. …”
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Gaussian approximation of dynamic cavity equations for linearly-coupled stochastic dynamics by Mattia Tarabolo, Luca Dall'Asta

“…Stochastic dynamics on sparse graphs and disordered systems often lead to complex behaviors characterized by heterogeneity in time and spatial scales, slow relaxation, localization, and aging phenomena. …”
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