EVALUATION OF ITERATIVE ALGORITHMS FOR TOMOGRAPHY IMAGE RECONSTRUCTION by Alexandre F. Velo, Alexandre G. Alvarez, Margarida Mizue Hamada, Carlos Henrique de Mesquita

“…This work consists in the analysis of three different iterative algorithm methods, namely the Maximum Likelihood Estimation Method (MLEM), the Maximum Likelihood Transmitted Method (MLTR) and the Simultaneous Iterative Reconstruction Method (SIRT. …”
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Modified Variational Iteration Algorithm-II: Convergence and Applications to Diffusion Models by Hijaz Ahmad, Tufail A. Khan, Predrag S. Stanimirović, Yu-Ming Chu, Imtiaz Ahmad

“…The current study presents an improved algorithm to the variational iteration algorithm-II (VIA-II) for the numerical treatment of diffusion as well as convection-diffusion equations. …”
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Recent Efficient Iterative Algorithms on Cognitive Radio Cooperative Spectrum Sensing to Improve Reliability and Performance by Mohsen Akbari, Ahmed Wasif Reza, Kamarul Ariffin Noordin, Kaharudin Dimyati, Mohsen Riahi Manesh, Mohammad Nour Hindia

“…In fact, all steps of genetic algorithm (GA), particle swarm optimization (PSO), and imperialistic competitive algorithm (ICA) will be well mentioned in detail and investigated on cognitive radio cooperative spectrum sensing (CRCSS) method. …”
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A Probability Integral Parameter Inversion Method Integrating a Selection-Weighted Iterative Robust Genetic Algorithm by Chuang Jiang, Wei Liu, Lei Wang, Xu Zhu, Hao Tan

“…In response to these issues, a probability integral parameter inversion method is proposed in this study that integrates a selection-weighted iterative robust genetic algorithm. This method combines the selection-weighted iteration method with a genetic algorithm to determine the weights of different observation values, and then a probability integral parameter inversion method is constructed for the fusion selection-weighted iterative robust GA. …”
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The Pseudoinverse Gradient Descent Method with Eight Branch Directions (8B-PGDM): An Improved Dead Reckoning Algorithm Based on the Local Invariance of Navigation by Jialong Gao, Quan Liu, Hanqiang Deng, Lei Sun, Jian Huang, Ming Lei

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Iterative segmentation and classification for enhanced crop disease diagnosis using optimized hybrid U-Nets model by Malathi Chilakalapudi, Sheela Jayachandran

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A research on low-earth-orbit signal-of-opportunity interference suppression algorithm based on adaptive signal iterative subspace projection technique by Lihao Yao, Lihao Yao, Bin Fan, Honglei Qin, Deyong Xian, Boyun Gu, Hai Sha, Gangqiang Guan, Zhijun Liu, Donghan He, Liwei Zhang

“…In this paper, we utilize the generalized periodicity of PFM interference signals and the characteristics of LEO constellation signals to propose an Adaptive Signal Iterative Projection and Interference Suppression (ASIPIS) algorithm. …”
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CASCADE CONTROL ALGORITHM OF THE ROBOTIC ARM'S SERVOMOTOR by MORARU, Dumitru, FIODOROV, Ion, IZVOREANU, Bartolomeu, COJUHARI, Irina

“…The system was simulated with the synthesized algorithms and the results were analyzed, it was established that the system has robustness and high performance for the case of using maximum stability degree method with iterations.…”
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Direction of Arrival (DOA) Estimation Using a Deep Unfolded Learned Iterative Shrinkage Thresholding Algorithm (LISTA) Network in a Non-Uniform Metasurface by Xinyi Niu, Xiaolong Su, Lida He, Guanchao Chen

“…Additionally, a deep unfolded Learned Iterative Shrinkage Thresholding Algorithm (LISTA) network is constructed by transforming Iterative Shrinkage Thresholding Algorithm (ISTA) iterative steps into trainable neural network layers, combining model-driven logic with data-driven parameter optimization. …”
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Full genome virus detection in fecal samples using sensitive nucleic acid preparation, deep sequencing, and a novel iterative sequence classification algorithm. by Matthew Cotten, Bas Oude Munnink, Marta Canuti, Martin Deijs, Simon J Watson, Paul Kellam, Lia van der Hoek

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ON THE SIMULATION OF MODES ОF ELECTRIC POWER SYSTEMS WITH FACTS by E. D. Halilov

“…In regard with the introduction of FACTS devices in power systems, there is an arising need to develop appropriate algorithms and implement them in the form of software for analyzing and controlling the established modes of power systems. …”
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Iterative parallel reconstruction of images on OPEN- POWER cluster by S. A. Zolotarev, V. L. Vengrinovich, A. V. Vasilyev

“…The fact that iterative methods of the solution of computing problems of big dimension are implemented on parallel structures much more effectively is important than direct methods of their decision. …”
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A vectorization of iterative computational processes and time acceleration estimates by V. M. Demidenko, V. I. Benediktovich

“…The relevance of the problem under consideration is due to the fact that processes that occur during cyclic data processing and in iterative algorithms are the most difficult to parallelize. …”
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Iterative Assessment of Edge Criticality: Efficiency Enhancement or Hidden Insufficiency Detection by Vasily Lubashevskiy, Hamza Ejjbiri, Ihor Lubashevsky

“…Second, the analysis reveals hidden inner insufficiency in edge ranking for some algorithms, as evidenced by the fact that algorithm iterations can reduce decomposition efficiency. …”
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Iterative System Identification and Controller Design with an LMI-Based Framework: Windsurfer-Like Approach by Kazuhiko Hiramoto

“…The framework enables us to obtain a good model for control and a model-based feedback controller simultaneously in the sense of the closed-loop performance. An iterative design algorithm similar to so-called Windsurfer Approach is presented.…”
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Model-Based Adaptive Iterative Hard Thresholding Compressive Sensing in Sensor Network for Volcanic Earthquake Detection by Guojin Liu, Qian Zhang, Yuyuan Yang, Zhenzhi Yin, Bin Zhu

“…Secondly, a compressive sensing reconstruction algorithm with theoretical analysis of its error bound is presented. …”
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ALGORITHM FOR PLANNING PROJECTS by Y. N. Kondrashov, M. O. Chashchin

“…The suggested planning algorithm uses dimensionless intensity coefficients, their values are well interpreted and this fact greatly facilitates their use in planning procedures. …”
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Robust sparse smooth principal component analysis for face reconstruction and recognition. by Jing Wang, Xiao Xie, Li Zhang, Jian Li, Hao Cai, Yan Feng

“…Consequently, the proposed RSSPCA algorithm generally outperforms existing algorithms in face reconstruction and recognition. …”
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A Dense Point-to-Point Alignment Method for Realistic 3D Face Morphing and Animation by Yongli Hu, Mingquan Zhou, Zhongke Wu

“…We present a new point matching method to overcome the dense point-to-point alignment of scanned 3D faces. Instead of using the rigid spatial transformation in the traditional iterative closest point (ICP) algorithm, we adopt the thin plate spline (TPS) transformation to model the deformation of different 3D faces. …”
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Algorithms for Solving the Equilibrium Composition Model of Arc Plasma by Zhongyuan Chi, Yuzhang Ji, Ningning Liu, Tianchi Jiang, Xin Liu, Weijun Zhang

“…The key to finding the numerical solution to nonlinear equations is to set reasonable initial values for the iterative solution process. Subsequently, the principle and process of the HLMA and PV–LMA algorithms are analyzed, alongside an analysis of the unique characteristics of plasma equilibrium composition at high temperatures. …”
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