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1
Direct approach for mining association rules from structured XML data
Published 2012“…The thesis also provides a two different implementation of the modified FLEX algorithm using a java based parsers and XQuery implementation. …”
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Thesis -
2
OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT
Published 2023“…To achieve this, we propose a new noble mechanism called Optimized Min-Min (OMin-Min) algorithm, inspired by the Min-Min algorithm. The objectives of this work are: i) to provide a comprehensive review of the cloud and scheduling process; ii) to classify the scheduling strategies and scientific workflows; iii) to implement our proposed algorithm with various scheduling algorithms (i.e., Min-Min, Round-Robin, Max-Min, and Modified Max-Min) for performance comparison, within different cloudlet sizes (i.e., small, medium, large, and heavy) in three scientific workflows (i.e., Montage, Epigenomics, and SIPHT); and iv) to investigate the performance of the implemented algorithms by using CloudSim. …”
Review -
3
Prevention And Detection Mechanism For Security In Passive Rfid System
Published 2013“…The proposed protocol is designed with lightweight cryptographic algorithm, including XOR, Hamming distance, rotation and a modified linear congruential generator (MLCG). …”
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4
Automatic generation of content security policy to mitigate cross site scripting
Published 2016“…It can be extended to support generating CSP for contents that are modified by JavaScript after loading. Current approach inspects the static contents of URLs.…”
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5
Optimised Crossover Genetic Algorithms for Combinatorial Optimisation Problems
Published 2010“…A Genetic Algorithm is successful in generating near -optimal solutions if it is able to produce o®spring during crossover that is better than the parent solutions. …”
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6
An Efficient Computational Algorithm for Solving Arbitrary Sylvester Matrix Equations in Fuzzy Control Theory (S/O 14179)
Published 2021“…With that, the constructed algorithm is considered as a new contribution to the application of control system theory…”
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Monograph -
7
Hybrid genetic algorithm for uncapacitated university examination timetabling problem
Published 2015“…The main components of the genetic operators in a Genetic Algorithm (GA) will be tested and the best combination of the genetic operators will be adopted to construct a Pure Genetic Algorithm (PGA). …”
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8
Enhancement of Ant System Algorithm for Course Timetabling Problem
Published 2009“…For this kind of problem, researchers believe that it will be better to find an approximate solution that can be delivered by a stochastic algorithm than waiting for an exact solution from the deterministic algorithm. …”
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9
Utilizing the roulette wheel based social network search algorithm for substitution box construction and optimization
Published 2023“…This paper introduces a new variant of a recent metaheuristic algorithm based on the Social Network Search algorithm (SNS), which is called the Roulette Wheel Social Network Search algorithm (SNS). …”
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Article -
10
Hybrid genetic algorithm for university examination timetabling problem
Published 2016“…The main components of the genetic operators in a GA will be tested and the best combination of the genetic operators will be adopted to construct a Pure Genetic Algorithm (PGA). The PGA will then hybridised with three new local optimisation techniques, which will make up the HGA; to improve the solutions found. …”
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11
Fast Finite Difference Time Domain Algorithms for Solving Antenna Application Problem
Published 2008“…Results show that these new sequential and parallel algorithms run faster than the standard sequential and parallel FDTD algorithms. …”
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12
Ball surface representations using partial differential equations
Published 2015“…Hence, this new algorithm is a viable alternative for constructing generalized Ball surfaces. …”
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13
Hybrid tabu search – strawberry algorithm for multidimensional knapsack problem
Published 2022“…In 2011, a new metaheuristic known as Strawberry algorithm (SBA) was initiated. …”
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14
A new image encryption algorithm based on single S-box and dynamic encryption step
Published 2021“…Chaotic-based S-box image encryption schemes promise to be a practical solution for securing digital images. However, the high-dimensional continuous chaotic has increased the algorithm’s complexity. …”
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Experiment -
15
A greedy heuristics multiple criteria model for solving multi-landfill site selection and plant propagation algorithm for improving waste collection vehicle routing solutions
Published 2023“…Then, a multiple criteria greedy heuristic model was proposed to construct WCVRP solutions and to find a new landfill site(s) with the minimum total operational costs. …”
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Examination timetabling using harmony search algorithm
Published 2015“…The HSA consist of five steps, which are initialize the HSA parameters, initialize the Harmony Memory (HM), improvise new solutions, update the HM and achieve the termination criteria. …”
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18
GENETIC ALGORITHM WITH DEEP NEURAL NETWORK SURROGATE FOR THE OPTIMIZATION OF ELECTROMAGNETIC STRUCTURE
Published 2020“…In this current technological era, engineering design process encounters with multiple complexity as it depends on computer simulation to ensure accurate model before the model is actually constructed. This leads to the problems where the engineers have to feed their simulation with new inputs and parameters to get the best solution. …”
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Final Year Project -
19
Improving accuracy metric with precision and recall metrics for optimizing stochastic classifier
Published 2011“…All stochastic classifiers attempt to improve their classification performance by constructing an optimized classifier. Typically, all of stochastic classification algorithms employ accuracy metric to discriminate an optimal solution. …”
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20
Improving accuracy metric with precision and recall metrics for optimizing stochastic classifier
Published 2011“…All stochastic classifiers attempt to improve their classification performance by constructing an optimized classifier.Typically, all of stochastic classification algorithms employ accuracy metric to discriminate an optimal solution.However, the use of accuracy metric could lead the solution towards the sub-optimal solution due less discriminating power.Moreover, the accuracy metric also unable to perform optimally when dealing with imbalanced class distribution. …”
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