Search Results - (( java pattern classification algorithm ) OR ( using interest based algorithm ))
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1
An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…Recently, various techniques based on different algorithms have been developed. However, the classification accuracy and computational cost are not satisfied. …”
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2
Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Electing the best set of features will help to improve the classifier predictions in terms of the normal and abnormal pattern. The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. …”
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3
Algorithm development for optimization of a refrigeration system
Published 2010“…An experiment was conducted to find temperature and pressure at point interest. Finally, obtained the enthalpies for each of the points of interest by using conventional method using P-h diagram based on combination of temperature and pressure data taken from experiment from the value of enthalpies ateach point of interest, performance analysis was conducted to obtain the compressor work, heat picked up, and the COP From the result we use Statistica software to generate an algorithm and by the algorithm find the optimum charge for refrigerator system based on international COPR . …”
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Undergraduates Project Papers -
4
Extremal region detection and selection with fuzzy encoding for food recognition
Published 2019“…The first algorithm locates interest points in food images using an MSER. …”
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5
An improved fast scanning algorithm based on distance measure and threshold function in region image segmentation
Published 2016“…The clustering process in Fast Scanning algorithm is performed by merging pixels with similar neighbor based on an identified threshold and the use of Euclidean Distance as distance measure. …”
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6
Extremal region selection for MSER detection in food recognition
Published 2021“…Therefore, this research proposes an Extremal Region Selection (ERS) algorithm to improve MSER detection by reducing the number of irrelevant extremal regions by using unsupervised learning based on the k-means algorithm. …”
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7
Object based segmentation and analysis using deep learning algorithm for cats and dogs images
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Final Year Project / Dissertation / Thesis -
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Effects of Different Superpixel Algorithms on Interactive Segmentations
Published 2022“…The superpixels generated by these five algorithms will be used on two interactive image segmentation algorithms: i) Maximal Similarity based Region Merging (MSRM) and ii) Graph-Based Manifold Ranking (GBMR) with single and multiple strokes on various images from the Berkeley image dataset. …”
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10
Fire Detection Algorithm using Image Processing Techniques
Published 2015“…The growth of fire is detected using sobel edge detection. Finally a colour based segmentation technique was applied based on the results from the first technique and second technique to identify the region of interest (ROI) of the fire. …”
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Conference or Workshop Item -
11
An integration of AHP-ACO technique for social interaction and travel planning
Published 2016“…This study presents the integration methods of AHP algorithm for point of interest decision-making and ACO and rule-based algorithms for route optimization. …”
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12
A comparative study of interactive segmentation with different number of strokes on complex images
Published 2020“…In this study, the input strokes had been categorized into single, double, and multiple strokes. The use of the same number of strokes on the object of interest and background on three interactive segmentation algorithms: i) Nonparametric Higher-order Learning (NHL), ii) Maximal Similarity-based Region Merging (MSRM) and iii) Graph-Based Manifold Ranking (GBMR) are evaluated, focusing on the complex images from Berkeley image dataset. …”
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A Comparative Study of Interactive Segmentation with Different Number of Strokes on Complex Images
Published 2020“…In this study, the input strokes had been categorized into single, double, and multiple strokes. The use of the same number of strokes on the object of interest and background on three interactive segmentation algorithms: i) Nonparametric Higher-order Learning (NHL), ii) Maximal Similarity-based Region Merging (MSRM) and iii) GraphBased Manifold Ranking (GBMR) are evaluated, focusing on the complex images from Berkeley image dataset. …”
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Content-based recommender system for an academic social network / Vala Ali Rohani
Published 2014“…The algorithm exploits all interests and preferences in a hierarchy tree structure. …”
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15
Extremal Region Selection for MSER Detection in Food Recognition
Published 2021“…Therefore, this research proposes an Extremal Region Selection (ERS) algorithm to improve MSER detection by reducing the number of irrelevant extremal regions by using unsupervised learning based on the k-means algorithm. …”
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16
Book recommendation system using content-based filtering / Amalin Aliesya Mohd Azmi
Published 2023“…However, every reader has their own unique interests and preferences. With the help of Book Recommendation System, we can offer a solution by utilizing algorithms to suggest books based on a reader’s interests. …”
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17
Effects of Different Superpixel Algorithms on Interactive Segmentations
Published 2022“…The superpixels generated by these five algorithms will be used on two interactive image segmentation algorithms: i) Maximal Similarity based Region Merging (MSRM) and ii) Graph-Based Manifold Ranking (GBMR) with single and multiple strokes on various images from the Berkeley image dataset. …”
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Article -
18
Educational video recommender system for computer science students using content-based filtering / Walid Burhani Mohd Zamani
Published 2025“…The objective is to study the content-based algorithm, to develop the prototype of educational video recommendation system using content-based filtering algorithm and to evaluate the performance and accuracy of the content-based filtering algorithm. …”
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Thesis -
19
DATA CLASSIFICATION SYSTEM WITH FUZZY NEURAL BASED APPROACH
Published 2005“…New tools based both on clever applications of established algorithms and on new methodologies, empower us to do entirely new things. …”
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Final Year Project -
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