Search Results - ((((((canny algorithm) OR (colony algorithm))) OR (mining algorithm))) OR (based algorithm))
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1
Leaf lesion classification (LLC) algorithm based on artificial bee colony (ABC)
Published 2015“…Results showed that the Leaf Lesion Classification (LLC) algorithm based on Artificial Bee colony (ABC) produced an average 96.83% of accuracy and average 1.66 milliseconds of processing time, indicating that LLC algorithm is better than algorithm such as Otsu, Canny, Roberts and Sobel. …”
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2
A comparative study on ant-colony algorithm and genetic algorithm for mobile robot planning.
Published 2024“…Focusing on routing optimization, the study evaluates Ant-Colony Optimization (ACO) and Genetic Algorithm (GA) in Mobile Robot Planning. …”
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3
An adaptive ant colony optimization algorithm for rule-based classification
Published 2020“…Ant-Miner is a variant of ant colony optimisation and a prominent intelligent algorithm widely use in rules-based classification. …”
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4
Hybrid ant colony optimization and genetic algorithm for rule induction
Published 2020“…In this study, a hybrid rule-based classifier namely, ant colony optimization/genetic algorithm ACO/GA is introduced to improve the classification accuracy of Ant-Miner classifier by using GA. …”
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5
Seed disperser ant algorithm for optimization / Chang Wen Liang
Published 2018“…The Seed Disperser Ant Algorithm (SDAA) is developed based on the evolution or expansion process of Seed Disperser Ant (Aphaenogaster senilis) colony. …”
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6
Ant Colony Optimization With Look Forward Ant In Solving Assembly Line Balancing Problem
Published 2011“…This work presents an approach based on the ant colony optimization technique to address the assembly line balancing problem. …”
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7
Adaptive parameter control strategy for ant-miner classification algorithm
Published 2020“…This paper presents a new hybrid Ant-Miner classification algorithm and ant colony system (ACS), called ACS-Ant Miner. …”
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Lexicon-based and immune system based learning methods in Twitter sentiment analysis
Published 2016“…In future work, the accuracy of proposed model can be strengthened by comparative study with other heuristic based searching algorithms such as genetic algorithm, ant colony optimization, swam algorithms and etc.…”
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Improvement DACS3 Searching Performance using Local Search
Published 2009“…The capability of DACS3 is measured based on quality of solution, time taken to reach the solution and algorithm performance. …”
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10
Arabic text classification using hybrid feature selection method using chi-square binary artificial bee colony algorithm
Published 2021“…After that, the wrapper method, Artificial Bee Colony algorithm, is used as the second level where Naive Base is used as a fitness function. …”
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11
Rule pruning techniques in the ant-miner classification algorithm and its variants: A review
Published 2018“…Rule-based classification is considered an important task of data classification.The ant-mining rule-based classification algorithm, inspired from the ant colony optimization algorithm, shows a comparable performance and outperforms in some application domains to the existing methods in the literature.One problem that often arises in any rule-based classification is the overfitting problem. …”
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12
Edge Detection Algorithm For Image Processing Of Search And Rescue Robot
Published 2016“…Subsequently, Canny edge detection algorithm is selected as an efficient algorithm based on the comparison made and it is further used in this project. …”
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Final Year Project -
13
Data normalization techniques in swarm-based forecasting models for energy commodity spot price
Published 2014“…Data mining is a fundamental technique in identifying patterns from large data sets.The extracted facts and patterns contribute in various domains such as marketing, forecasting, and medical.Prior to that, data are consolidated so that the resulting mining process may be more efficient.This study investigates the effect of different data normalization techniques.which are Min-max, Z-score and decimal scaling, on Swarm-based forecasting models.Recent swarm intelligence algorithms employed includes the Grey Wolf Optimizer (GWO) and Artificial Bee Colony (ABC).Forecasting models are later developed to predict the daily spot price of crude oil and gasoline.Results showed that GWO works better with Z-score normalization technique while ABC produces better accuracy with the Min-Max.Nevertheless, the GWO is more superior than ABC as its model generates the highest accuracy for both crude oil and gasoline price.Such a result indicates that GWO is a promising competitor in the family of swarm intelligence algorithms.…”
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14
Automatic detection of lineaments from LANDSAT images in United Arab Emirate (UAE)
Published 2006“…This work utilized a new geomatical tool for lineament identification which based on automatic detection algorithms. Integration between Laplacian, edge detection and Canny algorithms with different kernel window sizes is main component of new geomatical tool. …”
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15
Square groove detection based on forstner with canny edge operator using laser vision sensor
Published 2023“…In 1his work, the central line of the laser stripe is extracted based on Canny edge detection with Haralicks fucet model Based on 1he central line, 1he Forstner algorithm is used to recognize 1he comer points of 1he square weld groove. …”
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16
Sobel and Canny Edges Segmentations for the Dental Age Assessment
Published 2024Subjects:Conference Paper -
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Investigation Of Edge Detection Techniques Based On Brain Tumor Images
Published 2018“…The quantitative parameters used to evaluate the operators performances are PSNR, MSE and SSIM. Based on the quantitative analysis, the new Canny algorithm successfully produced high quality image with less error. …”
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Monograph -
18
Artificial neural network based fast edge detection algorithm for MRI medical images
Published 2017“…Therefore, the objective of this paper is to develop a fast ANN based edge detection algorithm for MRI medical images. …”
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19
Modified canny edge detection technique for identifying endpoints
Published 2022“…Edge detection is an image processing technique that retains the edges of an object in an image while discarding other features. The Canny edge detection technique is regarded as one of the most successful edge detection algorithms because of the good edge detection effect. …”
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20
Modified canny edge detection technique for joining discontinued edges
Published 2021“…Edge detection is an image processing technique that retains the edges of an object in an image while discarding other features. The Canny edge detection technique is regarded as one of the most successful edge detection algorithms because of the good edge detection effect. …”
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Proceedings