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Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
2
Ant colony optimization algorithm for dynamic scheduling of jobs in computational grid
Published 2012“…In computational grid, job scheduling is one of the main factors affecting grid computing performance. Job scheduling problem is classified as an NP-hard problem.Such a problem can be solved only by using approximate algorithms such as heuristic and meta-heuristic algorithms.Among different optimization algorithms for job scheduling, ant colony system algorithm is a popular meta-heuristic algorithm which has the ability to solve different types of NP-hard problems.However, ant colony system algorithm has a deficiency in its heuristic function which affects the algorithm behavior in terms of finding the shortest connection between edges.This research focuses on a new heuristic function where information about recent ants’ discoveries has been considered.The new heuristic function has been integrated into the classical ant colony system algorithm.Furthermore, the enhanced algorithm has been implemented to solve the travelling salesman problem as well as in scheduling of jobs in computational grid.A simulator with dynamic environment feature to mimic real life application has been development to validate the proposed enhanced ant colony system algorithm. …”
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3
An optimized aggregate marker algorithm for bandwidth fairness improvement in classifying traffic networks
Published 2016“…The marking probability mechanism was also studied to check how parameters in the traffic rate affect fairness. Extensive simulations were carried out to implement the algorithm using the NS2 simulator and compare the proposed marker algorithm with several other algorithms. …”
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Article -
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Analysis of LMS and NLMS noise cancellations of speech signal using Matlab Simulink / Roziahtushahila Hashim
Published 2014“…The LMS adaptive filter has several parameters which can affect their performance. From among these parameters, most papers handle the step size parameter for controlling the performance. …”
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Thesis -
5
Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions
Published 2017“…The project has also implemented the optimization process onto the proposed ANFIS model through the hybrid of Genetic Algorithm on the fuzzy membership function of the ANFIS model. …”
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6
Triggering Synchronization Of Multiple Usb 3.0 Devices Using Isochronous Timestamp Packet
Published 2016“…In addition, the trigger algorithm can support up to maximum three consecutive connected hubs without affecting the performance. …”
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7
The effectiveness of using the Lattice in multiplication skills among Year 5 in SK Beradek / Muhamad Shaharudin Muhamad Sarip
Published 2015“…Through the research instruments were implemented, researchers have identified several issues that affect pupils weaknesses in multiplying skills. …”
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8
Parallel genetic algorithms for shortest path routing in high- performance computing / Mohd Erman Safawie Che Ibrahim
Published 2012“…This project focuses on step-up cluster computing and a parallel Genetic Algorithm. The objectives of this project to set-up Beowulf cluster computer to apply the Travelling Salesman Problem in parallel by using Genetic Algorithms and evaluate sequential algorithms and parallel algorithms by Genetic Algorithms. …”
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9
Efficient k-coverage scheduling algorithms for wireless sensor networks / Ahmed Abdullah Saleh Al-Shalabi
Published 2014“…Experimental results show that, the proposed algorithm minimizes the sum of sensing energy cost of all sensors without affecting the network coverage, and also efficiently distribute the power among sensors in the network and prolong the network lifetime. …”
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10
Location-based Solar Energy Potential Prediction Algorithm for Mountainous Rural Landscapes
Published 2013“…This paper describes the implementation of an algorithm that can be used to predict solar energy potential of irregular landscapes. …”
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Article -
11
Improved flower pollination optimization algorithm based on swap operator and dynamic switch probability selection
Published 2023“…The statistical tools (Absolute Mean Error & Fried Man) are used to rank the performance of all algorithms. The proposed algorithm is ranked first among the stated algorithms with respect to its performance in getting the optimal solution…”
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12
Factors affecting student’s academic performance
Published 2021“…Furthermore, various machine learning algorithms are implemented for the prediction process for a student’sperformance range. …”
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The effect of job satisfaction on the relationship between organizational culture and organizational performance
Published 2023“…The statistical tools (Absolute Mean Error & Fried Man) are used to rank the performance of all algorithms. The proposed algorithm is ranked first among the stated algorithms with respect to its performance in getting the optimal solution…”
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Token based path allocation approach for mobile robots in sorting centre for achieving high throughput
Published 2024“…This project proposes an improved path-finding algorithm that implements token-based path finding while a robot wants to access a grid cell. …”
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Final Year Project / Dissertation / Thesis -
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Semi-supervised learning for feature selection and classification of data / Ganesh Krishnasamy
Published 2019“…By using the proposed algorithm, the sparse coefficients are learned by exploiting the relationships among different multi-view features and leveraging the knowledge from multiple related tasks. …”
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17
Design and Implementation of PID Controller for the Cooling Tower?s pH Regulation Based on Particle Swarm Optimization PSO Algorithm
Published 2025“…The methodology is to calculate the transfer function of the PH loop using the system identification toolbox of MATLAB, to design and implement a PID controller, to optimize the PID controller response using particle swarm optimization PSO algorithm, and to make a comparison among several tuning methods such as Ziegler Nichols (ZN) tuning method, MATLAB tuner method, and PSO algorithm tuning method. …”
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Prediction of blood-brain barrier permeability of compounds by machine learning algorithms
Published 2024“…Among 4 ML algorithms, Extreme Gradient Boosting (XGBoost) overperformed in BBB permeability prediction and was chosen as the prediction model for deployment. …”
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Development of automatic pest sampling and detection system for cash crops
Published 2019“…Connected components algorithm was implemented for insect detection and counting. …”
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Thesis -
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