Search Results - (( basic estimation technique algorithm ) OR ( java application optimized algorithm ))
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Block based motion vector estimation using fuhs16 uhds16 and uhds8 algorithms for video sequence
Published 2011“…Block-matching algorithm is the most common technique applied in block-based motion estimation technique. …”
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Book Chapter -
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Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
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Conference or Workshop Item -
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Performance evaluation of real-time multiprocessor scheduling algorithms
Published 2016“…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
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Conference or Workshop Item -
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Route Optimization System
Published 2005“…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
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Final Year Project -
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Hexagon pattern particle swarm optimization based block matching algorithm for motion estimation / Siti Eshah Che Osman
Published 2019“…Block Matching Algorithm (BMA) is a technique used to minimize the computational complexity of motion estimation in video coding application. …”
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Thesis -
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Block matching algorithms for motion estimation using modified Cross-Diamond-Hexagonal search / Abd Razak Mahmud
Published 2008“…The simplicity and effectiveness of the computational is the main criteria of different ME techniques. The fast search for ME techniques have their own shapes or patterns to work with in order to produce the best matching algorithm. …”
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Thesis -
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Enhance hybrid genetic algorithm and particle Swarm optimization are developed to select the optimal device in either fog or cloud. …”
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Article -
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Power System State Estimation In Large-Scale Networks
Published 2010“…This thesis describes a pre-screening process to identify the bad measurements and the measurement weights before performing the WLS estimation technique employed in SE. The autoregressive (AR) techniques. …”
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Performance optimization method in OFDM based on majorization and minimization technique
Published 2019“…Basically, TQM principles are based on time-domain OFDM symbols Majorization and Minimization (MM) technique. …”
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Article -
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Performance Analysis of Motion Estimation Algorithms on Digital Video Images
Published 2011“…Block Matching Motion Estimation (BMME) techniques have been particularly used in various coding standards. …”
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Automatic security evaluation of SPN-structured block cipher against related-key differential using mixed integer linear programming
Published 2019“…In relation to this, a new theoretical attack such as related-key differential cryptanalysis (RDC) could give rise to a more practical technique. Basically, estimating immunity of lower bounds in the substitution-permutation network (SPN) block ciphers structure against RDC attack is essential for providing a secure block cipher algorithm. …”
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Article -
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Ant colony optimization algorithm for load balancing in grid computing
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Monograph -
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Computer Lab Timetabling Using Genetic Algorithm Case Study - Unit ICT
Published 2006“…Genetic Algorithm is one of the most popular optimization solutions used in various applications such as scheduling. …”
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Thesis -
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Effort Estimation Model for Function Point Measurement
Published 2007“…This research work has generated an algorithmic effort estimation model for function points measurement. …”
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Thesis -
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Examination timetabling using genetic algorithm case study: KUiTTHO
Published 2005“…Genetic Algorithm (GA) is one of the most popular optimization solutions. …”
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Projected majorized-correlation technique for noise filtering and accuracy in orthogonal frequency division multiplexing
Published 2020“…Precisely, by proposing the projected signal (py>) in PQMCC technique has solved the three main issues: power of noise, accuracy in received random signal (y>) and complexity in Tight Quadratic Majorization algorithm (TQM) for Phase Noise Estimation Technique. …”
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