Search Results - (( java segmentation using algorithm ) OR ( using quality based algorithm ))
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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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Thesis -
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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Book -
3
Development of seven segment display recognition using TensorFlow on Raspberry Pi
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Proceeding Paper -
4
Development of high quality speech compression system for Quranic recitation based on modified CELP algorithm
Published 2013“…Lastly, we evaluate the performance of the developed algorithm objectively using PESQ (Perceptual Evaluation of Speech Quality). …”
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Proceeding Paper -
5
Malaysia Constitutional Law System, Study On The Use Advanced Searching Algorithm (Rule-Based And Horspool Algorithm)
Published 2017“…Many researchers are implements the page quality using the advanced searching algorithm. To make a good of the average page quality of the Malaysia statute federal constitutional are important for success this study. …”
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Thesis -
6
Block based motion vector estimation using fuhs16 uhds16 and uhds8 algorithms for video sequence
Published 2011“…Based on the theoretical and fundamental research analysis the FUHS16 and UHDS16 algorithms using 16 × 16 block-based motion estimation formulations were developed. …”
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Book Chapter -
7
MuDi-Stream: A multi density clustering algorithm for evolving data stream
Published 2016“…The offline phase generates the final clusters using an adapted density-based clustering algorithm. …”
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Article -
8
Quality checking and inspection based on machine vision technique to determine tolerancevalue using single ceramic cup
Published 2017“…The development of an algorithm for inspection and quality checking using machine vision was discussed in this paper. …”
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9
Quality checking and inspection based on machine vision technique to determine tolerance value using single ceramic cup
Published 2016“…The development of an algorithm for inspection and quality checking using machine vision was discussed in this paper, in which the design of the algorithm is to detect the sign of defect when a sample of the product is used for inspection purposes. …”
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10
The Implementation of a Machine Learning-based Routing Algorithm in a Lab-Scale Testbed
Published 2024“…Therefore, we proposed an ML-based RA (ML-RA-t) to improve delay and throughput, evaluated using simulation and a lab-scale testbed. …”
Conference Paper -
11
Comparison of Logistic Regression, Random Forest, SVM, KNN Algorithm for Water Quality Classification Based on Contaminant Parameters
Published 2024“…This study compares four machine learning algorithms Logistic Regression, Random Forest, Support Vector Machine (SVM), and K-Nearest Neighbors (KNN) in water quality classification based on contaminant parameters. …”
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12
A genetic algorithm based student attendance management system with biometric identification / Mohammad Hanif Rashid
Published 2014“…Based on the results obtained in this study, it was revealed that Genetic Algorithm managed to improve the quality of the images. …”
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Thesis -
13
Performance enhancement of adaptive cluster formation and routing protocols in wireless networks
Published 2017“…An enhanced algorithm has been suggested to improve the video quality using routing algorithm which is used to transfer the data packets with minimum number of errors. …”
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14
Building an Algorithm for Measuring C Programming Assignments Quality
Published 2008“…The proposed algorithm was modified from an existing approach used to measure software quality known as the cyclomatic measure [6]. …”
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Final Year Project -
15
A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. …”
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Thesis -
16
An adaptive routing algorithm: enhanced confidence-based Q routing algorithm in network traffic
Published 2004“…Confidence-based Q (CQ) Routing Algorithm is an adaptive network routing algorithm. …”
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Article -
17
An adaptive density-based method for clustering evolving data streams / Amineh Amini
Published 2014“…The quality of the algorithm is comprehensively evaluated on various synthetic and real datasets with different characteristics using variety of quality metrics. …”
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18
Quality inspection of engraved image using based matching approach
Published 2011“…This paper proposes shape-based vision algorithm, a hierarchical template-matching approach that implemented in flexible manufacturing system to verify the quality of engraved image. …”
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Conference or Workshop Item -
19
Comparison of clustering algorithms on air quality substances in Peninsular Malaysia / Sitti Sufiah Atirah Rosly, Balkiah Moktar and Muhamad Hasbullah Mohd Razali
Published 2017“…In order to provide information which areas are better for the residents in Malaysia, cluster analysis is used to determine the areas that can be clustering together based on their air quality through several air quality substances. …”
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20
Non-Distortion-Specific No-Reference Image Quality Assessment:A Survey
Published 2015“…Over the last two decades,there has been a surge of interest in the research of image quality assessment due to its wide applicability to many domains.In general,the aim of image quality assessment algorithms is to evaluate the perceptual quality of an image using an objective index which should be highly consistent with the human subjective index.The objective image quality assessment algorithms can be classified into three main classes: full-reference,reduced-reference,and no-reference.While full-reference and reduced-reference algorithms require full information or partial information of the reference image respectively,no reference information is required for no-reference algorithms.Consequently,a no-reference (or blind) image quality assessment algorithm is highly preferred in cases where the availability of any reference information is implausible.In this paper,a survey of the recent no-reference image quality algorithms,specifically for non-distortion-specific cases,is provided in the first half of this paper.Two major approaches in designing the non-distortion-specific no-reference algorithms,namely natural scene statistics-based and learning-based,are studied.In the second half of this paper,their performance and limitations are discussed before current research trends addressing the limitations are presented.Finally,possible future research directions are proposed towards the end of this paper.…”
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