Search Results - (( program visualization techniques algorithm ) OR ( code classification rules algorithm ))
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1
Android Malware classification using static code analysis and Apriori algorithm improved with particle swarm optimization
Published 2014“…This paper presents a classification of android malware using candidate detectors generated from an unsupervised association rule of Apriori algorithm improved with particle swarm optimization to train three different supervised classifiers. …”
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Proceeding Paper -
2
Static code analysis of permission-based features for android malware classification using apriori algorithm with particle swarm optimization
Published 2015“…However, supervised learning technique has limitations for malware classification task. This paper presents a classification approach on android malware using candidate detectors generated from an unsupervised association rule of Apriori Algorithm. …”
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3
Genetic algorithm fuzzy logic for medical knowledge-based pattern classification
Published 2018“…This research proposed an algorithm named Genetic Algorithm Fuzzy Logic (GAFL) with Pittsburg approach for rules learning and induction in genetic fuzzy system knowledge discovery. …”
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4
Genetic algorithm fuzzy logic for medical knowledge-based pattern classification
Published 2023“…This research proposed an algorithm named Genetic Algorithm Fuzzy Logic (GAFL) with Pittsburg approach for rules learning and induction in genetic fuzzy system knowledge discovery. …”
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Chain coding and pre processing stages of handwritten character image file
Published 2010“…Fuzzy Logic is used in the classification phase while HMM is used in the process of extracting features for the preparation of linguistic variables of the fuzzy rules. …”
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Learner’s emotion prediction using production rules classification algorithm through brain computer interface tool
Published 2018“…From the data analysis using WEKA software, the production rules classifier (PART) is found to be the most accurate classification algorithm in classifying the emotion which yields the highest precision percentage of 99.6% compared to J48 (99.5%) and Naïve Bayes (96.2%). …”
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7
POWER QUALITY CLASSIFICATION WITH DE-NOISING SCHEME USING WAVELET TRANSFORM AND RULE- BASED METHOD
Published 2012“…Unique features from the I", 4t h ,7th and 8thl evel details are obtained as criteria for developing a Rules-Based Algorithm for classifying disturbances that have occurred. …”
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8
Budget visualizer using circle packing technique / Nursyahira Zulkeply
Published 2019“…In previous study, treemap visualization technique is used to visualize the Malaysia budget, but it has resulted to data congestion as there are too many ministries and its programs in Malaysia. …”
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9
Optimizing Visual Surveillance Sensor Coverage Using Dynamic Programming
Published 2017“…To validate the proposed algorithm, we compared the outcomes of the dynamic programming algorithm with the existing benchmarking placement optimization techniques. …”
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Simulation and Visualization of TSP Using Ant Colony Optimization
Published 2023“…With Windows as the operating system and the C# programming language in Visual Studio 2019, the program complies with the Extreme Programming (XP) software development method. …”
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Dual-tone multifrequency signal detection using support vector machines
Published 2023Conference paper -
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Optimizing Visual Sensors Placement with Risk Maps Using Dynamic Programming
Published 2022“…This article explores the efficiency of the visual sensor placement based on a combination of two methods namely, a deterministic risk estimation for the risk assessment and a dynamic programming for optimizing the placement of surveillance cameras. …”
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Optimizing Visual Sensor Coverage Overlaps for Multiview Surveillance Systems
Published 2018“…The obtained solutions from the dynamic programming technique are evaluated with respect to local and global greedy search algorithms. …”
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Optimizing Visual Sensor Coverage Overlaps for Multiview Surveillance Systems
Published 2018“…The obtained solutions from the dynamic programming technique are evaluated with respect to local and global greedy search algorithms. …”
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15
Flow regime identification of particles conveying in pneumatic pipeline using electric charge tomography and neural network techniques
Published 2006“…Data captured for this purpose is in the range of mass flow rates 26 g/s to 204 g/s. A Visual C++ programming language is used to develop an application program to compute the image reconstruction algorithms and display the tomograms which represent the concentration profiles at a measurement crosssection of the pipe. …”
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16
Web-based RIG performance reporting system using interactive visualization techniques / Amir Hambaly Nasaruddin
Published 2019“…D3.js is used as a technology to visualize the result in interactive form or dynamic visualization which is a JavaScript library and Python is a language to program the system. …”
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17
A multidimensional data descriptor tool based on fuzzy min max neural network algorithm
Published 2018“…The implementation of Fuzzy Min Max Neural Network technique has been applied using Matlab Programming. …”
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Undergraduates Project Papers -
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Three-probe reflectometer algorithm for calculation of complex reflection coefficient of liquids / Aidil Saifan Abu Bakar
Published 2003“…In order to make precision measurement of magnitude and phase of reflection coefficient, the Three-Probe Reflectometer Algorithm has been used (which was implemented on the personal computer using Visual Basic 6 programming). …”
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Intelligent agent for e-commerce using genetic algorithm / Kok Sun Sun
Published 2000“…In addition, the system is developed using the developing tools that are essential in web applications, namely. web server, database server, system server and web programming tools such as ASP and Visual Basic. In order to develop an intelligent agent, various programming techniques are used in achieving the property of self learning, information retrieval and searching algorithm. …”
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20
Solid/gas concentration measurements using multiple fan beam optical tomography
Published 2008“…The data obtained from optical fibre sensors will then be reconstructed into image using the Linear Back Projection and Iterative Reconstruction algorithms through Visual C++ programming. Concentration measurements and series of error analyses will determine the feasibility of the optical fibre sensors to perform as an instrument in solid flow visualization. …”
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