Search Results - (( _ classification using algorithm ) OR ( program visualization techniques algorithm ))
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Use of hybrid classification algorithm for land use and land cover analysis in data scarce environment
Published 2013“…In conclusion, hybrid classification as a combination of k-means and support vector machine algorithms and post-classification comparison change detection technique can be used to monitor land cover changes in Halabja city, Iraq. …”
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Comparative Analysis of Cervical Cell Classification Using Machine Learning Algorithms
Published 2026journal::journal article -
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Automated pavement imaging program (APIP) for pavement cracks classification and quantification – a photogrammetric approach
Published 2008“…The digital image processing program enables longitudinal, transverse, and alligator cracking to be classified. …”
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Exploring frogeye leaf spot disease severity in soybean through hyperspectral data analysis and machine learning with Orange Data Mining
Published 2025“…The ReliefF feature selection technique was used to determine the most influential wavelengths for the classification of FLS disease severity in soybean. …”
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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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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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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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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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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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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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An improved pixel-based and region-based approach for urban growth classification algorithms / Nur Laila Ab Ghani
Published 2015“…The urban growth images obtained are analysed to improve existing classification algorithms. The improved algorithm is constructed by adding new parameter and classification rule to existing algorithm. …”
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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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Improving Classification of Remotely Sensed Data Using Best Band Selection Index and Cluster Labelling Algorithms
Published 2005“…The comparison showed that, the accuracy of the unsupervised classification map with value of 88.4% that was generated by using the cluster labelling algorithm was slightly more than the maximum-likelihood supervised classification map with value of 87.5%. …”
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Dengue classification system using clonal selection algorithm / Karimah Mohd
Published 2012“…This project can be improved by making a comparative study on Artificial Immune System and other techniques or algorithms used to solve dengue classification problems.…”
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Classification of tropical rainforest using different classification algorithm based on remote sensing imagery: A study of Gunung Basor
Published 2019“…Thehighest accuracy for classification map of Gunung Basor is by using maximum likelihood algorithm with an accuracy of 82.90%. …”
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Undergraduate Final Project Report -
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ABC: android botnet classification using feature selection and classification algorithms
Published 2017“…The Information Gain algorithm is used to select the most significant permissions, then the classification algorithms Naïve Bayes, Random Forest and J48 used to classify the Android apps as botnet or benign apps. …”
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