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Improved Boosting Algorithms by Pre-Pruning and Associative Rule Mining on Decision Trees for predicting Obstructive Sleep Apnea
Published 2017“…The improved algorithms were implemented in OSA dataset and UCI online databases for comparisons. …”
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DEEP LEARNING ALGORITHM IMPLEMENTATION FOR SHIP DETECTION IN SPOT SATELLITE IMAGES
Published 2019“…The implementation of the algorithm consists of three stages which are pre-processing, network training and accuracy evaluation. …”
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Final Year Project -
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Development of self-learning algorithm for autonomous system utilizing reinforcement learning and unsupervised weightless neural network / Yusman Yusof
Published 2019“…In the algorithm development a step-by-step example of the algorithm implementation is presented and then successfully implemented in Lego Mindstorm obstacle avoiding mobile robot as a proof of concept implementation of the hybrid AI algorithm. …”
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Enhancement of stemming process for malay illicit web content
Published 2012“…As conclusion, the implementation of new features in enhanced stemming algorithm can reduce the errors produce in Sembok’s stemming algorithm. …”
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Cohesive token passing algorithm utilizing software agents
Published 2010“…MAC protocols have been extensively researched from several angles. This encompasses the implementation in the area of Wave Division Multiplexing (WDM) networks and Mobile Adhoc Networks (MANET). …”
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Implementation of Frequency Drift for Identification of Solar Radio Burst Type II
Published 2016“…The results of the frequency drift implementation in classification algorithm show that the algorithm developed gave almost similar determination as in manual detection. …”
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Enhancement of parallel thinning algorithm for handwritten characters using neural network
Published 2005“…Thus, this project presents a framework for the implementation of a multilayer perceptron neural network with backpropagation algorithm, in the Parker thinning algorithm in order to produce a fast fully parallel thinning algorithm. …”
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Fingerprint recognition using neural networks / Kennie Yeoh Eng Hoe
Published 2001“…A flow of the process goes from fingerprint acquisition using inkpads and a scanner, followed by image pre-processing steps to produce cleaner more visually acceptable images. …”
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Implementation of Frequency Drift for Identification of Solar Radio Burst Type II
Published 2016“…The results of the frequency drift implementation in classification algorithm show that the algorithm developed gave almost similar determination as in manual detection. …”
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Car dealership web application
Published 2022“…The transfer learning algorithm pre-trained the River adaptive random forest regressor and classifier by transferring the tree structures and weights from the Scikit-learn fitted random forest regressor and classifier, respectively. …”
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Final Year Project / Dissertation / Thesis -
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A soft hierarchical algorithm for the clustering of multiple bioactive chemical compounds
Published 2007“…The results of the algorithm show significant improvement in comparison to a similar implementation of the hard c-means algorithm.…”
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Book Section -
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Investigation of evolutionary multi-objective algorithms in solving view selection problem / Seyed Hamid Talebian
Published 2013“…At the same time implementing elitism feature increases the computational complexity of the algorithm. …”
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Advances in metaheuristics: Applications in engineering systems
Published 2016“…It discusses topics such as algorithmic enhancements and performance measurement approaches, and provides insights into the implementation of metaheuristic strategies to multi-objective optimization problems. …”
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Camera Independent Face Recognition Algorithm In Visual Surveillance
Published 2015“…The flandmark facial landmark detector is implemented to determine the location of the eyes and new face images are obtained by cropping the HE pre-processed images. …”
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Penilaian esei berbantukan komputer menggunakan teknik Bayesian dan pengunduran linear berganda
Published 2006“…Thus, the experiment has shown by utilizing both techniques (MMB and MLR), better prediction or essay assessment has been achieved compared to the one’s implemented using Fuzzy Logic and SLR Algorithm.…”
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Autism Spectrum Disorder Classification Using Deep Learning
Published 2021“…In this research, the convolutional neural find processes that can classify ASD with a higher level of accuracy. The image data is pre-processed; the CNN algorithm is then applied to classify the ASD and non-ASD, and the steps of implementing the CNN algorithm are clearly stated. …”
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