Search Results - (( developing interactive effect algorithm ) OR ( java detection technique algorithm ))
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1
Detection and extraction features for signatures images via different techniques
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Image clustering comparison of two color segmentation techniques
Published 2010“…We focus on the outlier detection and background subtraction on image. This project proposed a two color segmentation techniques such as K-means and Fuzzy C-means clustering algorithm that are accurately segment the desired images, which have the same color as the pre-selected pixels with background subtraction. …”
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3
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. …”
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4
Hybrid genetic algorithm for improving fault localization
Published 2018“…The result of the experiment shows that our technique able to detect multiple faults in various java programs but there is a need for improvement especially in prioritize fault that occurs simultaneously.…”
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The implications for ahybrid detection technique against malicious sqlattacks on web applications
Published 2025“…The methodology is based on JavaScript and PHP languages for developing a new technique called DetectCombined capable of filtering queries using parameterized queries to protect against SQL injection which is a safe method. …”
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A malware analysis and detection system for mobile devices / Ali Feizollah
Published 2017“…We then used feature selection algorithms and deep learning algorithms to build a detection model. …”
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7
Interactive jigsaw puzzle using backtracking algorithm / Amizah Mohd Kamaruzaman
Published 2012“…The developed jigsaw puzzle was then tested to see the effectiveness ofthe Backtracking algorithm. …”
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8
User interface and interactivity design guidelines of algorithm visualization on mobile platform
Published 2019“…Hence, in order to accomplish the main aim, a number of sub-objectives were formed: (a) to identify the appropriate recommendations for UI design and interactivity aspects of AVOMP, (b) to develop the design guidelines of AVOMP based on the identified recommendations of UI design and interactivity, (c) to validate the developed design guidelines of AVOMP in terms of “usefulness” through expert reviews, and (d) to measure the effectiveness of AV on mobile platform that implements the proposed design guidelines through prototype. …”
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9
An enhancement of multi-factor weighted approach technique in prioritizing test cases by comparing similarity distance
Published 2025“…Therefore, numerous factors and techniques have been used to optimize the prioritization process. …”
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Virtual reality in algorithm programming course: practicality and implications for college students
Published 2024“…Overall, the VR products developed have proven to be practical and effective in learning programming algorithms. …”
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Designing algorithm visualization on mobile platform: The proposed guidelines
Published 2017“…This paper entails an ongoing study about the design guidelines of algorithm visualization (AV) on mobile platform, helping students learning data structures and algorithm (DSA) subject effectively.Our previous review indicated that design guidelines of AV on mobile platform are still few.Mostly, previous guidelines of AV are developed for AV on desktop and website platform. …”
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Evolutionary cost-cognizant regression test case prioritization for object-oriented programs
Published 2019“…Afterward evolutionary algorithm (EA) was employed to prioritize test cases based on the rate severity of fault detection per unit test cost. …”
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13
Visualization Tool for Pathfinding Algorithms
Published 2023“…This final year project aims to address the challenges faced by students in comprehending pathfinding algorithms by developing a web-based visualization tool. …”
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Final Year Project Report / IMRAD -
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Decentralized Adaptive Pi With Adaptive Interaction Algorithm Of Wastewater Treatment Plant
Published 2014“…The Pi controller parameters are obtained by using simple updating algorithm developed based on adaptive interaction theory. …”
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Integrating of web 2.0 technologies for interactive courseware : data structure and algorithm as case study
Published 2013“…The intention of the developed courseware is not to replace conventional class, but the develop courseware main objective is to assist students of FCSIT for better understanding towards Data Structure and Algorithms Course (TMC1433) through interactive delivering information.…”
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Final Year Project Report / IMRAD -
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Prime-based method for interactive mining of frequent patterns
Published 2010“…A comprehensive experimental analysis is conducted by several experiments and scenarios to evaluate the correctness and effectiveness of the proposed method especially for interactive mining. …”
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17
Development of an interactive learning tool for analysis of fast fourier transform from butterfly diagram
Published 2023“…This project is to develop an interactive learning tool for the analysis of Fast Fourier Transform from the butterfly diagram. …”
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Elitist hybrid migrating birds optimization and genetic algorithm based strategy for T-way test suite generation
Published 2020“…While all these traditional testing methods are useful, they do not deal with interaction testing of inputs. To deal with interaction testing. the adoption of t-way testing, where t indicates the interaction strength, is known to be effective as far as sampling of the tests in a systematic manner. …”
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Identifying the influential spreaders in multilayer interactions of online social networks
Published 2016“…The results analysis concluded that improving the accuracy of influential spreaders identification in OSNs is not only by improving identification algorithms but also by developing a network topology that represents the information diffusion well. …”
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How Does Image Complexity Affect the Accuracy of an Interactive Image Segmentation Algorithm?
Published 2025“…The adaptive strategy improves segmentation performance and guides the development of robust algorithms. Future research can further refine the adaptive approach, explore additional complexity measures, and incorporate advanced machine learning techniques to enhance interactive image segmentation. …”
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