p-Adic discrete dynamical systems and collective behaviour of information states in cognitive models by Andrie Khrennikov

“…An information state evolves by iterations of a discrete p-adic dynamical system. The p-adic utrametric on the space of information states (p-adic homogeneous tree) describes the ability of an information system to operate with associations. …”
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The Extended Hamiltonian Algorithm for the Solution of the Algebraic Riccati Equation by Zhikun Luo, Huafei Sun, Xiaomin Duan

“…Furthermore, this algorithm is compared with the Euclidean gradient algorithm, the Riemannian gradient algorithm, and the new subspace iteration method. Simulation examples show that the convergence speed of the extended Hamiltonian algorithm is the fastest one among these algorithms.…”
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Decoupling the Stationary Navier-Stokes-Darcy System with the Beavers-Joseph-Saffman Interface Condition by Yong Cao, Yuchuan Chu, Xiaoming He, Mingzhen Wei

“…The physical interface conditions are directly utilized to construct the boundary conditions on the interface and then decouple the Navier-Stokes and Darcy equations. Newton iteration will be used to deal with the nonlinear systems. …”
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The Investigation of a Method to Improve Static Stiffness of Automobile Body Use Eigenvalue Decomposition of the stiffness matrix. by Akira SATOMURA, Kohei FURUYA, Shinichi MARUYAMA, Shinji NISHIWAKI

“…Although optimization methods are used in many design studies, problems sometimes arise in the actual design stage, and conventional methods in which designers make iterative design changes based on trial and error are still widely used. …”
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Multi-Scale Multi-Domain Hybrid Finite Element Modeling of Light Propagation by Jingwei Wang, Zhanwen Wang, Lida Liu, Yuntian Chen

“…Our approach ensures mathematical and physical consistency, can also handle multi-scale computational tasks efficiently with the assistance of the damping block-Jacobi iterative solver. By implementing the first-order Robin transmission condition at the interfaces between neighboring subdomains and introducing the dual “current” variables, we can significantly reduce the computational burden and communication data volume during the iterative solving process. …”
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Examination of empirical and Machine Learning methods for regression of missing or invalid solar radiation data using routine meteorological data as predictors by Konstantinos X Soulis, Evangelos E Nikitakis, Aikaterini N Katsogiannou, Dionissios P Kalivas

“…Routine weather parameters from ten stations in a period spanning 1,548 days were collected, curated, and used for the training, calibration, and validation of different iterations of two empirical equations and three iterations each of Random Forest (RF) and Recurrent Neural Networks (RNN). …”
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Securing Brain-to-Brain Communication Channels Using Adversarial Training on SSVEP EEG by Hossein Ahmadi, Ali Kuhestani, Mohammadreza Keshavarzi, Luca Mesin

“…We utilized a combined Convolutional Neural Network-Temporal Convolutional Network (CNN-TCN) architecture to classify the data and assessed the system’s resistance to various adversarial strategies, including Fast Gradient Sign Method (FGSM), Projected Gradient Descent (PGD), Basic Iterative Method (BIM), Carlini & Wagner (C&W), and Momentum Iterative Method (MIM). …”
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CR-DEQ-SAR: A Deep Equilibrium Sparse SAR Imaging Method for Compound Regularization by Guoru Zhou, Yixin Zuo, Zhe Zhang, Bingchen Zhang, Yirong Wu

“…However, the single regularization cannot entirely capture the features of complex observation scenes, and network architectures based on iterative unfolding often face memory and numerical precision constraints during training. …”
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A guide to prompt design: foundations and applications for healthcare simulationists by Sara Maaz, Sara Maaz, Janice C. Palaganas, Gerry Palaganas, Maria Bajwa

“…Examples were created through iterative testing to ensure alignment with simulation objectives, covering use cases such as clinical scenario development, OSCE station creation, simulated person scripting, and debriefing facilitation. …”
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DeepAptamer: Advancing high-affinity aptamer discovery with a hybrid deep learning model by Xin Yang, Chi Ho Chan, Shanshan Yao, Hang Yin Chu, Minchuan Lyu, Ziqi Chen, Huan Xiao, Yuan Ma, Sifan Yu, Fangfei Li, Jin Liu, Luyao Wang, Zongkang Zhang, Bao-Ting Zhang, Lu Zhang, Aiping Lu, Yaofeng Wang, Ge Zhang, Yuanyuan Yu

“…Oligonucleotide aptamers are typically identified through a rigorous and time-consuming process known as systematic evolution of ligands by exponential enrichment (SELEX), which requires 20 to 30 iterative rounds to eliminate non/weak binding sequences and enrich tight binding sequences with high affinity. …”
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Integrated Sensing and Communication Target Detection Framework and Waveform Design Method Based on Information Theory by Qilong Miao, Xiaofeng Shen, Chenfei Xie, Yong Gao, Lu Chen

“…Furthermore, to enhance the system’s target detection capability, the iterative OTFS-ISAC waveform design (I-OTFS-WD) method which maximizes the relative entropy is proposed. …”
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A new classification algorithm for low concentration slurry based on machine vision by Chuanzhen Wang, Xinyi Wang, Andile Khumalo, Fengcheng Jiang, Jintao Lv

“…Results from subsequent CNN model training, with 200 iterations, the accuracy on training and validation sets was demonstrated over 95% for coal slurry concentration prediction. …”
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ESPGD Algorithm to Improve the Convergence Speed for Adaptive Single-Mode Fiber Coupling by Jinjin Peng, Bo Qi, Yun Zhang, ZhenChuang Li, Yao Mao

“…This greatly reduce the time consumed by one iteration of the algorithm, thereby reducing the convergence time. …”
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A Modified Salp Swarm Algorithm Based on the Perturbation Weight for Global Optimization Problems by Yuqi Fan, Junpeng Shao, Guitao Sun, Xuan Shao

“…This paper also presents iteration curves, box-plot charts, and search-path graphics to verify the accuracy of the proposed algorithm. …”
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An Imaging Method for Marine Targets in Corner Reflector Jamming Scenario Based on Time–Frequency Analysis and Modified Clean Technique by Changhong Chen, Wenkang Liu, Yuexin Gao, Lei Cui, Quan Chen, Jixiang Fu, Mengdao Xing

“…Thirdly, in response to the poor universality of the traditional Clean iterative termination condition, the kurtosis of the residual signal spectrum amplitude is adopted as the new iterative termination condition. …”
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Spectral Steady-State Analysis of Inverters With Temperature-Dependent Losses Using Harmonic Balance by Pelle Weiler, Bas Vermulst, Erik Lemmen, Korneel Wijnands

“…Averaged loss models often neglect the temperature dependence of transistors, leading to fast, but inaccurate results. In contrast, iterative methods and simulation tools, which can include temperature dependence, take significantly longer to compute, but yield more precise results. …”
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ARES: A Parallel Discrete Ordinates Transport Code for Radiation Shielding Applications and Reactor Physics Analysis by Yixue Chen, Bin Zhang, Liang Zhang, Junxiao Zheng, Ying Zheng, Cong Liu

“…First collision source method is used to eliminate or mitigate the ray effects. Traditional source iteration and Krylov iterative method preconditioned with diffusion synthetic acceleration are applied to solve the linear system of equations. …”
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An Improved Registration Method for UAV-Based Linear Variable Filter Hyperspectral Data by Xiao Wang, Chunyao Yu, Xiaohong Zhang, Xue Liu, Yinxing Zhang, Junyong Fang, Qing Xiao

“…In this paper, a progressive grouping-based strategy for iterative band selection and registration is proposed. …”
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Applications of the neuro-evolutionary approach to the parabolic type partial differential equations by Waseem, Asad Ullah, Emad A.A. Ismail, Fuad A. Awwad

“…For the overall performance of CS-ASA, the fitness function is plotted against the number of iterations. It is clear that the fitness function minimizes with higher iterations, and hence achieve an optimal solution. …”
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Existence of solutions for asymptotically periodic quasilinear Schrödinger equations with local nonlinearities by Jianxin Han, Yuting Wei, Yanfang Xue

“…By using a Nehari-type constraint and Moser iteration, we get the existence results which is a complement to the ones in Chu and Liu [Nonlinear Anal. …”
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