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1
Image clustering comparison of two color segmentation techniques
Published 2010“…Finally, the algorithm found, which would solve the image segmentation problem.…”
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2
Automatic Number Plate Recognition on android platform: With some Java code excerpts
Published 2016“…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
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3
Development of seven segment display recognition using TensorFlow on Raspberry Pi
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4
Menu Planning Model for Malaysian Boarding School Using Self-Adaptive Hybrid Genetic Algorithms
Published 2011“…Hybridization technique of local search method and self-adaptive strategy have improved the performance of traditional genetic algorithm through balanced exploitation and exploration scheme. …”
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5
Malaysian menu planning model using Self-adaptive Hybrid Genetic Algorithm (SHGA)
Published 2018“…Hybridization technique of two local search methods and self-adaptive strategy has successfully improved the performance of traditional genetic algorithm through balanced exploitation and exploration scheme.…”
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6
Imitation learning through self-exploration : from body-babbling to visuomotor association / Farhan Dawood
Published 2015“…Imitation learning through self-exploration is essential in development of sensorimotor skills in infants. …”
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7
Malaysian menu planning model using Self-Adaptive Hybrid Genetic Algorithm (SHGA)
Published 2018“…Hybridization technique of two local search methods and self-adaptive strategy has successfully improved the performance of traditional genetic algorithm through balanced exploitation and exploration scheme…”
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8
Integrating RLP and Fast Zero algorithm to improve routing performance in optical multistage interconnection networks
Published 2008“…In this paper, we explore the idea of integrating the Remove Last Pass (RLP) algorithm to the Fast Zero (FastZ) algorithm as the prior initial solution to improve routing performance in optical multistage interconnection networks (OMINs). …”
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9
Improved abnormal detection using self-adaptive social force model for visual surveillance
Published 2017“…The estimation of the good quality of interaction forces is critical in this case and has not been explored yet. So, Self-Adaptive SFM is developed in order to estimate a good quality of interaction forces since it is crucial to achieve better abnormal detection, which represents the behavior of the crowd. …”
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10
Improved Bat Algorithm for faster convergence in solving optimisation problem
Published 2021“…Besides that, IBA was found comparable with existing variants of BA such as the IBA developed from the previous researcher in the year 2013 and the Hybrid Self-Adaptive Bat Algorithm (HSABA) developed in the year 2014. …”
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11
Intent-IQ: customer’s reviews intent recognition using random forest algorithm
Published 2025“…The future recommendation for this project is to build a classification model for Malay reviews and explore other algorithms which could gain better accuracy by capturing more contextual meanings in the reviews such as BERT.…”
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12
Improving resource management with multi-instance broker scheduling algorithm in hierarchical grid computing
Published 2016“…Multi-Instance Broker Scheduling Algorithm (MiBSA) has been proposed as a new scheduling algorithm to get rid of the drawback from the iHLBA algorithm. …”
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13
Computational methods for self-assembly of DNA nanostructures / Ong Hui San
Published 2016“…The efforts are concerted towards self-assembly mechanism of heterogeneous DNA shapes, construction of multiple configurations that can form the identical endstructures, exploration of a less stringent sequence design and predicting connectivity map for the DNA nanostructures assembly. …”
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14
Crossover and mutation operators of real coded genetic algorithms for global optimization problems
Published 2016“…The rationale behind developing algorithms using real encoding of chromosome representations is the limitations of binary encoding. …”
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15
Deep Learning-Driven Mobility And Utility-Based Resource Management In Mm-Wave Enable Ultradense Heterogeneous Networks
Published 2025thesis::doctoral thesis -
16
Finger-worn assistive device for detection tracking and recognition
Published 2018“…Utilizing off-self components, and image processing algorithms based on MATLAB image processing toolbox, scenarios where the Smart Eye can be an effective tool for day-to-day interaction, reactions from users as well as its drawbacks are discussed and a conclusion is reached, that such a finger worn device is highly viable for future development.…”
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Proceeding Paper -
17
Google autocomplete search algorithms and the Arabs' perspectives on gender: a case study of Google Egypt
Published 2020“…Bearing in mind the perpetuating function that technology may have of existing stereotypes and social norms, users and developers of Google alike must pay more attention to gender biases that algorithms may establish and disseminate.…”
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18
Nature-Inspired cognitive evolution to play Ms. Pac-Man
Published 2011“…The focus of this research is to explore the hybridization of nature-inspired computation methods for optimization of neural network-based cognition in video games, in this case the combination of a neural network with an evolutionary algorithm. …”
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19
A COMPARISON STUDY OF DATA CLUSTERING AND VISUALISATION TECHNIQUES WITH VARIOUS DATA TYPES
Published 2020“…This study only focuses on three types of clustering techniques which are k-means clustering, agglomerative hierarchical clustering with the ward’s linkage, complete linkage, and average linkage, and Self-Organizing Map (SOM). The clustering algorithms are written using Python language by modifying the coding obtained from the Internet. …”
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Final Year Project Report / IMRAD -
20
An enhanced synthetic oversampling framework with self-supervised contrastive learning for multi-class image imbalance
Published 2025“…Building on this, the third contribution is the development of an enhanced framework that is different from traditional methods, as it integrates oversampling with self-supervised contrastive learning and attention mechanism to tackle multi-class imbalance. …”
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