Search Results - (( pattern generation under algorithm ) OR ( java application optimization algorithm ))
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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Thesis -
2
Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
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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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4
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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Frequent Lexicographic Algorithm for Mining Association Rules
Published 2005“…The primary concept of association rule algorithms consist of two phase procedure. In the first phase, all frequent patterns are found and the second phase uses these frequent patterns in order to generate all strong rules. …”
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Development of automated neighborhood pattern sensitive faults syndrome generator for static random access memory
Published 2011“…The algorithms used in this generator are based on March algorithm. …”
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8
Development of automated neighborhood pattern sensitive fault syndrome generator for SRAM
Published 2012“…A proven March algorithms are used in this generator to verify the efficiency of this generator by producing the fault coverage and diagnostic resolution. …”
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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 -
10
A new method for intermediate power point tracking for PV generator under partially shaded conditions in hybrid system
Published 2018“…Finally, the combined control algorithm was implemented using a DSpace 1104 environment and extensively tested under various partially shaded patterns. …”
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Article -
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Deterministic Automatic Test Pattern Generation for Built-In Self Test System
Published 2006“…The test pattern generation can be generated either manually or automatically. …”
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12
Ant colony optimization algorithm for load balancing in grid computing
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Monograph -
13
An improved grey wolf optimization based MPPT algorithm for photovoltaic systems under diverse partial shading conditions
Published 2022“…Moreover, different types of multiple peak power points (MPPP) are generated in the characteristics of the PV system under diverse partial patterns. …”
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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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16
Foldable Structures Adapted From Tessellation Origami With High Degree Of Freedom
Published 2018“…Six tessellation origami models consisting of three variations of Miura-ori, Russo’s Optical Illusion, Yoshimura and Ron Resch pattern were selected to investigate the transformation under different paths using the generative modeling tool. …”
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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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19
Improving F-Score of the imbalance visualized pattern dataset for yield prediction robustness
Published 2008“…In a non closed loop manufacturing process, a prediction model of the yield outcome can be achieved by visualizing the temporal historical data pattern generated from the inspection machine, discretize to visualized data patterns, and map them into machine learning algorithm.Our previous study shows that combination of under-sampling and over sampling techniques unabel wider range of data sets where SMOTE+VDM and random under-sampling produced robust classifier performance of handling better with different batches of prediction test data.In this paper, the integration of K* entropy base similarity distance function with SMOTE, CNN+Tomek Links and the introduction of SMOTE and SMaRT (Synthetic Majority Replacement Technique)combination, has improved the classifiers F-Score robustness.…”
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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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