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A New Approach of Optimal Search Solution in Particle Swarm Optimization (PSO) Algorithm for Object Detection Method
Published 2018“…Therefore, to overcome the several problems associated with the object detection method, a new approach in Particle Swarm Optimization (PSO) algorithm for optimal search solution as an alternative method to detect of object tracking quickly, precisely and accurately. …”
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Optimization of Off-Centre bracing system using Genetic Algorithm
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Optimizations of Q. Clear image reconstruction method for brain 18F PET/CT studies
Published 2025“…Clear (BSREM) reconstruction algorithm introduces a β penalization parameter to improve image clarity, yet the optimal β setting for each frame duration remains unclear. …”
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A new stepsize for gradient method via weak secant equation
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Automated threshold detection for object segmentation in colour image
Published 2016“…The procedure starts with selection of optimal RGB channel. Then H(•) algorithm is applied for automated threshold detection to convert the image frames into grayscale image. …”
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Particle swarm optimization with deep learning for human action recognition
Published 2021“…To accomplish the purpose of tracking a target, traditional approaches first perform the detection process and then track the target. However, such methods necessitate a constant false-alarm rate system that detects the whole frame obtained at the moment. …”
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Memoryless modified symmetric rank-one method for large-scale unconstrained optimization
Published 2009“…In this study, we present a scaled memoryless modified Symmetric Rank-One (SR1) algorithm and investigate the numerical performance of the proposed algorithm for solving large-scale unconstrained optimization problems. …”
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Fast algorithm analysis and bit-serial architecture design for sub-pixel motion estimation in H.264
Published 2010“…To solve the above difficulties, we propose several optimization techniques in both algorithm and architecture levels. …”
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Globalization of Barzilai and Borwein Method for Unconstrained Optimization
Published 2009“…Then we discuss the (BB) method that is important in the area of optimization. …”
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Video colorization using canny optimization technique / Irwin Kevin Mueson
Published 2016“…Colorization process will be using the technique of Canny Optimization method. This is a hybrid technique from Colorization using Optimization, which was modified and improved the algorithms by adding Canny Edge Detection to improve the colorization process on the grayscale image or frames. …”
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Algorithm optimization and low cost bit-serial architecture design for integer-pixel and sub-pixel motion estimation in H.264/AVC / Mohammad Reza Hosseiny Fatemi
Published 2012“…This thesis is concerned with algorithm optimization and efficient low cost architecture design for integer motion estimation (IME) and sub-pixel motion estimation (SME) of H.264/AVC. …”
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Single Machine Connected Infinite Bus system tuning coordination control using biogeography-based optimization algorithm
Published 2023“…In this paper, the design of hybrid coordinated damping controller (power system stabilizer (PSS) and proportional integral derivative (PID) controller) is articulated as an optimization problem. The objective function J is framed using Integral square error (ISE) and the optimal parameters can be obtained by minimizing the objective function using the proposed Biogeography Based Optimization (BBO) algorithm. …”
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Multi-objective optimization of all-wheel drive electric formula vehicle for performance and energy efficiency using evolutionary algorithms
Published 2020“…A new method based on constraint multi-objective optimization using evolutionary algorithms is proposed to optimize the powertrain design of a battery electric formula vehicle with an all-wheel independent motor drive. …”
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Advances of metaheuristic algorithms in training neural networks for industrial applications
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A Harris hawks optimization based single- and multi objective optimal power flow considering environmental emission
Published 2020“…The obtained results are compared with the other Artificial Intelligence (AI) techniques such as the Whale Optimization Algorithm (WOA), the Salp Swarm Algorithm (SSA), Moth Flame (MF) and Glow Warm Optimization (GWO). …”
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A new gradient method via quasi-Cauchy relation which guarantees descent
Published 2009“…We propose a new monotone algorithm for unconstrained optimization in the frame of Barzilai and Borwein (BB) method and analyze the convergence properties of this new descent method. …”
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