Search Results - (( development status selection algorithm ) OR ( java data visualization algorithm ))
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1
Enhanced bibliographic data retrieval and visualization using query optimization and spectral centrality measure
Published 2019“…This study proposing an enhance bibliographic data retrieval and visualization using hybrid clustering method consists of K-harmonic mean (KHM) and Spectral Algorithm and eigenvector centrality measure. …”
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Article -
2
Web-based RIG performance reporting system using interactive visualization techniques / Amir Hambaly Nasaruddin
Published 2019“…The result of this project is all algorithm for visualizing data is functioning and the output produced from the system is correct and effective. …”
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Thesis -
3
Dynamic force-directed graph with weighted nodes for scholar network visualization
Published 2022“…The approach is realized by creating a web-based interface using D3 JavaScript algorithm that allows the visualization to focus on how data are connected to each other more accurately than the conventional lines of data seen in traditional data representation. …”
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4
Design Of Robot Motion Planning Algorithm For Wall Following Robot
Published 2006“…Computer A will be sent the data to computer B through the internet/LAN using JAVA program. …”
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Monograph -
5
Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform
Published 2009“…The development of this architecture is based on several programming language as it involves algorithm implementation on C, parallelization using Parallel Virtual Machine (PVM) and Java for web services development. …”
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6
Sentiment analysis using clonal selection algorithm for Twitter’s data / Fatimah Mamat
Published 2012“…The sentiment analysis using clonal selection algorithm for twitter’s data system was developed to achieve the main objective which is to classify the twitter’s messages according three sentiments which are positive, negative and neutral. …”
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Thesis -
7
Poverty Classification of Central Perak Population Using Machine Learning
Published 2019“…In this study, back propagation algorithm and other machine learning algorithm will be used to build models via anaconda using python programming language that can classify each poor household appropriate their poverty status. …”
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Final Year Project -
8
Development Of Machine Learning User Interface For Pump Diagnostics
Published 2022“…Build up a user interface by using Visual Studio Code (VSC) to run the coding of Cascading Style Sheet (CSS), Hyper Text Markup Language (HTML) and JavaScript (JS) as a webpage and connect to Azure Machine Learning Model and this will allow the user from using the model from a webpage when they have active internet with any devices.…”
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Monograph -
9
Classification models for higher learning scholarship award decisions
Published 2018“…A dataset of successful and unsuccessful applicants was taken and processed as training data and testing data used in the modelling process. Five algorithms were employed to develop a classification model in determining the award of the scholarship, namely J48, SVM, NB, ANN and RT algorithms. …”
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10
Spectral discrimination and index development of roofing materials and conditions using field spectroscopy and worldview-3 satellite image
Published 2016“…Three feature selection algorithms of Genetic Algorithm (GA), Support Vector Machine (SVM) and Random Forest (RF) were used to select the most significant wavelengths since the algorithms works well with large size of data and widely applied for feature selection of hyperspectral remote sensing data. …”
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Thesis -
11
Tacit knowledge for business intelligence framework using cognitive-based approach
Published 2022“…The framework was tested on 23 librarians from several university libraries in West Java and Yogyakarta, Indonesia. The algorithm starts with a content targeted interview to identify the list of problems faced by librarians. …”
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12
An Adaptive Fuzzy Symbiotic Organisms Search Algorithm and Its Applications
Published 2020“…This paper discusses the development of a Symbiotic Organisms Search Algorithm (SOS) variant, called Adaptive Fuzzy SOS (FSOS). …”
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13
An improved negative selection algorithm based on the hybridization of cuckoo search and differential evolution for anomaly detection
Published 2018“…The V-Detectors algorithm depends greatly on the random detectors generated in monitoring the status of a system. …”
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14
Assessment of predictive models for chlorophyll-a concentration of a tropical lake.
Published 2011“…FL and RANN models were developed using parameters selected through sensitivity analysis. …”
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15
Assessment of predictive models for chlorophyll-a concentration of a tropical lake.
Published 2011“…FL and RANN models were developed using parameters selected through sensitivity analysis. …”
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16
Modeling of cardiovascular diseases (CVDs) and development of predictive heart risk score
Published 2021“…Further, it focuses on the development of various forms of local risk prediction models and simple heart risk scores using non-laboratory features and machine learning (ML) algorithms. …”
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17
Suitability Factor on the Capacitated Vehicle Routing Problem
Published 2010“…A new variant of algorithm called Dynamic Ant Colony System with Three Level Updates (DACS3) has been developed which focuses on adding individual ant behavior. …”
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Conference or Workshop Item -
18
Classification of Citrus (Rutaceae) by Using Image Processing
Published 2019“…A machine learning algorithms, SVM have been used to build species identification models. …”
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Undergraduate Final Project Report -
19
Adaptive artificial neural network for power system security assessment and control action
Published 2012“…An essential part of the work was conducted to generalise the tool with the automatic data knowledge generation system and data selection and extraction for AANN inputs. Finally, a software tool based on an adaptive neural network for power system security assessment was developed. …”
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Thesis -
20
Identifying and predicting Muslim’s community funeral funding protocols
Published 2024“…The results showed that the accuracy value for the selected algorithm is 0.95, 0.95 and 0.95 for the awareness and 0.8, 0.8, and 0.75 for B40 Status in survey datasets. …”
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