Search Results - (( developing transition detection algorithm ) OR ( java optimization techniques algorithm ))
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Shot boundary detection based on orthogonal polynomial
Published 2019“…SBD is the process of automatically partitioning video into its basic units, known as shots, through detecting transitions between shots. The design of SBD algorithms developed from simple feature comparison to rigorous probabilistic and using of complex models. …”
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March-based SRAM diagnostic algorithm for distinguishing stuck-at and transition faults
Published 2009“…This paper analyses March algorithms for detection and diagnosis of Stuck-At Faults (SAFs) and Transition Faults (TFs). …”
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March-based diagnosis algorithm for static random-access memory stuck-at faults and transition faults
Published 2012“…March tests are developed based on functional fault model (FFM) such as stuck-at faults (SAFs), transition faults (TFs) and coupling faults (CFs). …”
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Fast shot boundary detection based on separable moments and support vector machine
Published 2021“…It aims to partition the video sequence into shots by detecting shot transitions. High computational cost in transition detection is considered a bottleneck for real-time applications. …”
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Extended development of a Computer Aided Detection (CAD) system for brain bleed in CT / Muhammad Illyas Abdul Muhji
Published 2018“…Final output of the algorithm summarise the bleeding detection for all patient in an excel file. …”
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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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Missing tags detection algorithm for radio frequency identification (RFID) data stream
Published 2019“…Thus in this research, an AC complement algorithm with hashing algorithm and Detect False Negative Read algorithm (DFR) is used to developed the Missing Tags Detection Algorithm (MTDA). …”
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Hybrid genetic algorithm for improving fault localization
Published 2018“…Genetic algorithm (GA) is well known in finding an optimal solution to a problem while local search is capable of removing duplication. …”
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Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
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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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Scalable approach for mining association rules from structured XML data
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An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…Recently, various techniques based on different algorithms have been developed. …”
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Evaluating Machine Learning Algorithms for Fake Currency Detection
Published 2024“…Our findings contribute to developing reliable, automated systems for counterfeit detection, and enhancing financial security…”
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Fault detection with optimum March Test Algorithm
Published 2012“…Therefore to improve fault detection, an automation program is developed based on sequence operation (SQ) generation rules. …”
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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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Focal and non-focal epilepsy localization: a review
Published 2018“…This study reviews many recently-proposed algorithms for detecting the focal epileptic seizures. …”
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Improving Class Timetabling using Genetic Algorithm
Published 2006“…We have targeted the research on class timetabling problem. Hence, Genetic Algorithm (GA) is used as one of the most popular optimization solutions. …”
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Testing static single cell faults using static and dynamic data background
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