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A biogeography-based optimization algorithm hybridized with tabu search for the quadratic assignment problem
Published 2016“…The quadratic assignment problem (QAP) is an NP hard combinatorial optimization problem with a wide variety of applications.Biogeography-based optimization (BBO), a relatively new optimization technique based on the biogeography concept, uses the idea of migration strategy of species to derive algorithm for solving optimization problems.It has been shown that BBO provides performance on a par with other optimization methods.A classical BBO algorithm employs the mutation operator as its diversification strategy. …”
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A Biogeography-Based Optimization Algorithm Hybridized With Tabu Search For The Quadratic Assignment Problem
Published 2016“…The quadratic assignment problem (QAP) is an NP-hard combinatorial optimization problem with a wide variety of applications. Biogeography-based optimization (BBO), a relatively new optimization technique based on the biogeography concept, uses the idea of migration strategy of species to derive algorithm for solving optimization problems. …”
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An improved electromagnetism-like mechanism algorithm for the optimization of maximum power point tracking / Tan Jian Ding
Published 2017“…The search scheme began with relatively bigger steps. The algorithm then systematically tuned the step sizes based on a specially designed nonlinear equation. …”
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Thesis -
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Brain Machine Interface Controlled Robot Chair
Published 2010“…A particle swarm optimization based algorithm is proposed to train the neural networks. …”
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Enhanced Q-Learning algorithm for potential actions selection in automated graphical user interface testing
Published 2023“…Q-Learning’s reward function assigns the highest value to the least frequently executed action without taking into consideration its potential ability in detecting failures. Furthermore, the proposed techniques based on the QLearning algorithm do not consider context-based actions. …”
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A comprehensive review of crop yield prediction using machine learning approaches with special emphasis on palm oil yield prediction
Published 2021“…Initially, the current status of palm oil yield around the world is presented, along with a brief discussion on the overview of widely used features and prediction algorithms. Then, the critical evaluation of the state-of-the-art machine learning-based crop yield prediction, machine learning application in the palm oil industry and comparative analysis of related studies are presented. …”
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Photogrammetric unmanned aerial vehicle for digital terrain model estimation under oil palm tree canopy area / Suzanah Abdullah
Published 2021“…Following the application of a new methodology on the real site, the result indicated the consistency of DTM values of all the algorithms at different flying heights but there were relatively small differences between all the algorithms used. …”
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Thesis -
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Development of a Mobile Robot Local Navigation System Based on Fuzzy-Logic Control and Actual Virtual Target Switching
Published 2006“…Therefore in this thesis, a new fuzzy logic control system is developed for reactive navigation of a behavior-based mobile robot. The motion of a Pioneer 3TM mobile robot was simulated to show the algorithm performance. …”
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Microcrack Detection And Noise Reduction In Integrated Circuit Packages
Published 2018“…Three algorithms are tested and evaluated in terms of microcrack detection and noise reduction which are probability based thresholding, histogram equalization, and modified Perona-Malik’s anisotropic diffusion methods. …”
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Monograph -
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Agreement options for negotiation on material location decision of housing development
Published 2020“…A support model enables negotiation process in group decision. Decision algorithms are based on the cooperative game theory to develop the agreement options and coalition formation. …”
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Classification of left/right hand movement from EEG signal by intelligent algorithms
Published 2015“…We have given a relative study of currently used classification algorithms along with a new approach for classification i.e. …”
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Conference or Workshop Item -
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Video image processing for traffic analysis
Published 1992“…In recent years the application of computer-based image processing techniques to a range of traffic data collection tasks has been successfully demonstrated. …”
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Nonlinear Control Of Robot Manipulator Using Sliding Mode And Computed Torque Control Technique
Published 2015“…An additional test for chattering reduction has been carried out for SMCTC with reaching control law. Based on the results, the performance of each of the controllers was compared. …”
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A review of slicing techniques in software engineering
Published 2015“…Process of model based slicing is utilized to extract the desired lump out of slice diagram. …”
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Proceeding Paper -
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Modifying maximum likelihood test for solving singularity and outlier problems in high dimensional cases
Published 2021“…The validation of this robust modified ML-test was conducted in a real application on the Pakistan microeconomic system and turned out with good performance. …”
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Cluster head selection algorithm using fuzzy logic in multi-tier Wireless Sensor Network for energy efficiency / Wan Isni Sofiah Wan Din
Published 2016“…The cluster head (CH) is responsible to gathered and compressed the data send by the sensor node, while primary node acts as a relay node for the respective cluster head at each tier to execute the routing process and sent the data to the base station. Two simulations based on 100 sensor nodes with 1 Joule and random energy are carried out. …”
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Design And Optimi Z Ation Of Solar Power Plant Consisted Of Tracking Concentrator Photovoltaic System Based On Computational Analysis
Published 2021“…The levelized cost of electricity (LCOE) of the SPP must be competitive in solar energy field to garner the interest from possible investors for its future development. In this research work, a newly developed computational algorithm has been presented to carry out the CPV field layout optimization process. …”
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Final Year Project / Dissertation / Thesis -
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Real-time anomaly detection using clustering in big data technologies / Riyaz Ahamed Ariyaluran Habeeb
Published 2019“…Based on the outcome of the analysis, this research proposed a novel framework namely real-time anomaly detection based on big data technologies (RTADBDT), along with supporting implementation algorithms. …”
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Biometrics: Facial Recognition
Published 2004“…Among the various approaches, eigenface technique is explained in detail including its work procedure, algorithm and the tools applied. …”
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Final Year Project
