Development of a Hybridized Model for Predicting the Life Span of Power Transformers by O.O. Olaluwoye, A.A. Okubanjo, O.K. Oyetola, P.O. Alao, O.G. Olasunkanmi

“…These parameters were used in developing a DP model using Jacobi and Gauss Seidel numerical analysis iterative techniques. The techniques were implemented in Matrix Laboratory 8.2 (R2013b)  environment. …”
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Violence and Memory in the Multiple Versions of Claudia Rankine’s Citizen by John K. Young

“…It explores the multiple iterations of Citizen through Daniel Ferrer’s distinctions between variant and variation, finding Rankine’s work an exemplary case of the ways in which, as Kinohi Nishikawa has recently argued, “race is not an a priori category to be read into literature, but a complex effect of distinct social, cultural, and textual mediations.”…”
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Facing the fear: a scaffolding approach to teaching life sciences undergraduates R coding by Elena Paci, Alex Swainson, Nadia L. Cerminara

“…In this perspective we will reflect on the current barriers, discuss our experience with overcoming them and consider implementations for future iterations.…”
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Tooth Profile Construction Method with Double Pressure Angles for High Performance Gear Pumps by Li Deling

“…From parameters analysis of tooth profiles without undercut and displacement, the analytical expressions of pump performance coefficients such as lightweight, flow ripple and trapped-oil phenomenon on working pressure angles are derived; then from the minimum allowable value of the addendumarc angle, a one-dimensional iterative model for determining non-working pressure angle is derived. …”
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Parametric design and manufacturing of stress-oriented lightweight cellular structure with implicit neural representation by Canhui Lin, Ke Xu, Yingguang Li, Xu Liu, Chenli Zhou

“…Conventional parametric design approaches for lightweight structure are primarily focus on size and shape, while the topology still requires lengthy iterative process. The major issues that hinder parametric control of topological design include singularity of the stress field and the lack of proper operators for discretized geometry. …”
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Haar Wavelet Method for Nonlinear Vibration of Functionally Graded CNT-Reinforced Composite Beams Resting on Nonlinear Elastic Foundations in Thermal Environment by Jianyu Fan, Jin Huang

“…To evaluate the nonlinear natural frequencies, the obtained equations are discretized into a set of nonlinear algebraic equations through HWDM and then the direct iteration technique is employed to solve the resulting algebraic equations. …”
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Joint Optimization Design of UAV-Active RIS System Based on a Quadratic Transformation by Yi Peng, Haolin Li, Qingqing Yang

“…Finally, the alternating iteration method is used to obtain the suboptimal solution of the original problem. …”
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Exploring Architectural Units Through Robotic 3D Concrete Printing of Space-Filling Geometries by Meryem N. Yabanigül, Derya Gulec Ozer

“…Across three production trials, iterative improvements were made, revealing challenges and insights into design optimization and fabrication techniques. …”
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Temperature Effect on Stability of Tunnel Face Under Unsaturated Seepage Condition by Yi Xie, Hong Liao, De Zhou

“…A three-dimensional logarithmic spiral model is utilized to ascertain the unsupported pressure on tunnel faces, with the safety factor (FS) being calculated through an iterative methodology. Subsequently, a comprehensive suite of parametric studies is undertaken to explore the influence of temperature on tunnel face stability under unsaturated seepage conditions, offering valuable insights for practical engineering endeavors.…”
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Study on Tooth Surface Roughness Modeling of Form Grinding Considering the Change of the Local Grinding Condition by Chen Xiaoqi, Tang Cheng, Liao Xianggui, Zhou Weihua, Tang Jinyuan

“…Based on the generation mechanism of grinding surface roughness, the surface roughness of formed grinding teeth is obtained by an iterative algorithm. The forming grinding test of 12Cr2Ni4A gear material after carburizing and quenching is carried out. …”
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A Software Tool for Optimal Sizing of PV Systems in Malaysia by Tamer Khatib, Azah Mohamed, K. Sopian

“…As for PV system sizing, iterative methods are used for determining the optimal sizing of three types of PV systems, which are standalone PV system, hybrid PV/wind system and hybrid PV/diesel generator system. …”
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A New Approach to Persian Poetry Meters from Linguistics and Rhythm Viewpoints by mohamad mirzayi, Shahram Naghshbandi, Hosein Meisami, Yadollah Shokri

“…They keep reading different rhymes in iterative patterns. Therefore, it has been suggested that verses can be parsed based on the number of the short syllables, but not the number of syllables as hypothesized in traditional Persian metrics.…”
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A Large-Scale Network Data Analysis via Sparse and Low Rank Reconstruction by Liang Fu Lu, Zheng-Hai Huang, Mohammed A. Ambusaidi, Kui-Xiang Gou

“…In addition, we present the iterative scheme of the algorithm for network anomaly detection problem, which is termed as NAD-APG. …”
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Development and Validation of Activity Based Learning Scale among Teachers by Ritu Samaddar, Deb Prasad Sikdar

“…A high degree of statistically significant correlation was found in the scale's final iteration, with Cronbach alpha values of 0.724. Conclusions: The comprehensive analysis revealed that the Activity-Based Learning (ABL) instrument serves as an effective tool for evaluating classroom management among teachers in the West Bengal region of India.…”
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The Optimal Hydraulic Design of Centrifugal Impeller Using Genetic Algorithm with BVF by Xin Zhou, Yongxue Zhang, Zhongli Ji, Hucan Hou

“…Given design parameters, the desired optimal centrifugal impeller can be obtained after several iterations by this method. Another 5 impellers with the same parameters were also designed by using single arc, double arcs, triple arcs, logarithmic spiral, and linear-variable angle spiral as blade profiles to make comparisons. …”
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Physical Therapy Interventions for the Management of Biceps Tendinopathy: An International Delphi Study by Amy W. McDevitt, Joshua A. Cleland, Simone Addison, Leah Calderon, Suzanne Snodgrass

“… # Study Design Delphi Study # Methods Through an iterative process, experts in the PT field rated their agreement with a list of proposed treatment interventions and suggested additional interventions during each round. …”
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Obstacle Avoidance Path Planning for UAV Based on Improved RRT Algorithm by Fan Yang, Xi Fang, Fei Gao, Xianjin Zhou, Hao Li, Hongbin Jin, Yu Song

“…And then through a certain number of iterations, it converges to an ideal path scheme. In addition, this paper also uses MATLAB to verify the effectiveness and superiority of the algorithm: Although RRT is easy to fall into local optimization, since the optimization method in this paper can almost certainly converge to the optimal solution, when it is necessary to preplan the path before UAV takeoff, it can be used.…”
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Quantum-inspired K-nearest neighbors classifier for enhanced printer source identification in forensic document analysis by Saad M. Darwish, Raad A. Ali, Adel A. Elzoghabi

“…This allows the system to iteratively refine and select the optimal K value based on classification performance, ensuring that the best K is identified for the specific dataset and task. …”
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Shannon Entropy Computations in Navier–Stokes Flow Problems Using the Stochastic Finite Volume Method by Marcin Kamiński, Rafał Leszek Ossowski

“…The higher-order stochastic finite volume method (SFVM), implemented according to the iterative generalized stochastic perturbation technique and the Monte Carlo scheme, are engaged for this purpose. …”
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Reinforced AdaBoost Learning for Object Detection with Local Pattern Representations by Younghyun Lee, David K. Han, Hanseok Ko

“…On the contrary, the proposed learning algorithm allows the sample weights to be updated individually depending on the confidence level of each weak classifier prediction, thereby reducing the number of weak classifier iterations for convergence. Experimental classification performance on human face and license plate images confirm that the proposed method requires smaller number of weak classifiers than the conventional learning algorithm, resulting in higher learning and faster classification rates. …”
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