Search Results - (( knowledge types visualization algorithm ) OR ( java application customization algorithm ))
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1
Adopting machine learning to automatically identify a suitable surgery type for refractive error patients
Published 2024“…ML is dedicated to the advancement and use of algorithms that possess the capacity to acquire knowledge from data and enhance their predictive capabilities without explicit programming. …”
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Article -
2
Ciphercrypt-an Encryption System / Nor Hidayah Ngah
Published 2004“…This system is implemented on a Windows platform with Visual Basic as a programming language and 3-DES as a main encryption algorithm. …”
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Thesis -
3
Kernerlized Correlation Filters Parameters Optimization For Enhanced Visual Tracking
Published 2017“…Visual tracking has become one of the most important components in computer vision as the knowledge in this field can be applied into a wide range of applications in computer vision such as medical imaging, pattern recognition, video surveillance, industrial robot, computer-human interaction, etc. …”
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4
Enhancing understanding of programming concepts through physical games
Published 2017“…In context of teaching programming, we feel that most of the teaching approaches only benefit the visual and auditory students even though many are among the kinaesthetic typed. …”
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5
Enhancing obfuscation technique for protecting source code against software reverse engineering
Published 2019“…The proposed technique can be enhanced in the future to protect games applications and mobile applications that are developed by java; it can improve the software development industry. …”
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Thesis -
6
Development of a Prediction Algorithm using Boosted Decision Trees for Earlier Diagnoses on Obstructive Sleep Apnea
Published 2018“…This research develops a knowledge-based system by using computational intelligent approaches based on Boosting algorithms on decision trees augmented by pruning techniques and Association Rule Mining. …”
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7
Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process
Published 2004“…Artificial Neural Network (ANN) was selected from Machine Learning Algorithms to be the learning algorithm. ANN is a computer-based simulation of the living nervous system which works quite differently from conventional programming. …”
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8
Application Of Bibliometric Analysis on Root Growth Algorithm
Published 2024“…This article uses three types of software: Microsoft Excel, VOSviewer software, and Harzing’s Publish or Perish software to analyze the frequency, visualization mapping, and citation metrics analysis, respectively. …”
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9
Defects identification on semiconductor wafer for yield improvement using machine learning / Pedram Tabatabaeemoshiri
Published 2025“…This work presents a novel graph-based semi-supervised learning (GSSL) algorithm designed for wafer defect detection. The proposed methodology involves collecting wafer inspection data, extracting relevant features, and applying the GSSL algorithm to identify the hidden defects. …”
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10
Plant identification using combination of fuzzy c-means spatial pyramid matching, gist, multi-texton histogram and multiview dictionary learning
Published 2016“…Beside that, classic bag of visual words algorithm (BoVW) is based on kmeans clustering and every SIFT feature belongs to one cluster and it leads to decreasing classification results. …”
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11
Design & Development of a Robotic System Using LEGO Mindstorm
Published 2006“…Since the model is built using LEGO bricks, the model is fully customized, in term of its applications, to perform any relevant tasks. …”
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12
An Intelligent Detection System for Rheumatoid Arthritis (RA) Disease using Image Processing
Published 2014“…Out of five types of staining patterns nucleolar and centromere share similar visual appearance and the same is true to homogeneous, fine-speckled, coarse-speckled patterns. …”
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Final Year Project -
13
Dynamic modelling of proton exchange membrane fuel cell system for electric bicycle / Azadeh Kheirandish
Published 2016“…On the other hand, the information of fuzzy cognitive map modeling is applicable for modification of neural networks structure for providing more accurate results based on the extracted knowledge from the cognitive map and visualization of the system’s performance.…”
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Thesis -
14
Generalized Fuzzy Linguistic Bicubic B-Spline Surface Model for Uncertain Fuzzy Linguistic Data
Published 2022“…In addition, a numerical example of fuzzy linguistic data is considered at the end of this study to visualize the suggested model. Thus, the relation between the fuzzy linguistic data points can be analyzed to present another area of knowledge in which symmetry phenomena occur. …”
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Article -
15
Detection of Epileptic EEG Signal Using Wavelet Transform and Adaptive Neuro-Fuzzy Inference System
Published 2011“…Such algorithms use brain electrical activity signals called electro encephalography (EEG) and have 2 methods of detection: visual (by specialist inspection) and automatic (by using signal processing knowledge). …”
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16
Evaluation of cracks and disintegrations using close-range digital photogrammetry and image processing technique
Published 2005“…Results obtained by this technique are compared with the Jabatan Kerja Raya manual using conventional method to check accuracy. The algorithms developed in this study are capable of identifying type of cracking and its severity level at the accuracy about 90%. …”
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17
Fusion of airborne LiDAR with multispectral SPOT 5 image for enhancement of feature extraction using Dempster–Shafer theory
Published 2014“…The two products were fused using the DST algorithm, and the accuracy of the classification was assessed. …”
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18
Acquisition of context-based word recognition by reinforcement learning using a recurrent neural network
Published 2012“…The first type using ideal- images as learning data and the second one using real camera captured images. …”
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19
Acquisition of context-based word recognition by reinforcement learning using a recurrent neural network
Published 2012“…There are two types of problem tasks in this thesis. The first type using ideal- images as learning data and the second one using real camera captured images. …”
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20
Acquisition of context-based word recognition by reinforcement learning using a recurrent neural network
Published 2012“…The first type using ideal- images as learning data and the second one using real camera captured images. …”
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Undergraduates Project Papers