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E2IDS: an enhanced intelligent intrusion detection system based on decision tree algorithm
Published 2022“…The model design is Decision Tree (DT) algorithm-based, with an approach to data balancing since the data set used is highly unbalanced and one more approach for feature selection. …”
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C4.5 Algorithm Application for Prediction of Self Candidate New Students in Higher Education
Published 2018“…To find out the prediction retirement prospective students, this paper uses C.45 algorithm. The method can change the a very large fact into a decision tree that represents the rule. …”
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Online Clothing Shopbots via Web Content Extraction / Nurul Syazwani Ramzi
Published 2017“…These block tree is constructed by using DOM (document object model) tree. …”
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Improved tree routing protocol in zigbee networks
Published 2010“…In this case it will follow the tree topology which will use a lot of hops to arrive to the sink node. …”
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Framework for mining XML format business process log data
Published 2024“…With the advent of the Internet, there is a dramatic increase in the volume of semi-structured and unstructured data. Therefore, a lot of frequent subtree mining (FSM) algorithms and methods were developed to get information from semi-structured data specifically data with hierarchical nature. …”
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Image Based Oil Palm Tree Crowns Detection
Published 2020“…This system is developed due to the ineffective traditional method, which are to manually identify and count, which takes a longer time and a lot of manpower. …”
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Final Year Project Report / IMRAD -
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Waste management using machine learning and deep learning algorithms
Published 2020“…For our research we did the comparisons between three Machine Learning algorithms, namely Support Vector Machine (SVM), Random Forest, and Decision Tree, and one Deep Learning algorithm called Convolutional Neural Network (CNN), to find the optimal algorithm that best fits for the waste classification solution. …”
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Indoor parking location information through Short Message Service (SMS) / Nurul Hidayu Abdul Aziz
Published 2010“…Hopefully this system prototype will give a lot of benefit to the user.…”
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Predicting dengue transmission rates by comparing different machine learning models with vector indices and meteorological data
Published 2023“…Machine learning algorithms (ML) are receiving a lot of attention in the development of predictive models for monitoring dengue transmission rates. …”
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Image Stitching Of Aerial Footage
Published 2021“…It has simplified and automated the site assessment and monitoring procedure. A lot of well-known image stitching software or applications, including Image Composite Editor (ICE), Adobe Photoshop and AutoStitch have been developed to allow users to stitch the images for monitoring or assessment purposes. …”
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Price prediction model of green building based on machine learning algorithms / Nur Syafiqah Jamil
Published 2021“…The experiment involved five (5) common algorithms: Linear Regressor, Decision Tree Regressor, Random Forest Regressor, Ridge Regressor and Lasso Regressor. …”
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Processing and classification of landsat and sentinel images for oil palm plantation detection
Published 2022“…Remote sensing in agriculture has gained a lot of interest recently, especially in plantation management. …”
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A comparative study in classification techniques for unsupervised record linkage model
Published 2011“…A variety of record linkage algorithms with different steps have been developed in order to detect such duplicate records. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Appliance level stand-by burst forecast modelling using machine learning techniques
Published 2020“…The electrical appliances and equipment are developed in a way that optimize the use of energy. …”
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Mathvision prototype using predictive analytics / Yuzi Mahmud ... [et al.]
Published 2023“…The Multiclass Decision Forest algorithm appeared to be the best predictive model with 95.16% accuracy, as compared to Boosted Decision Tree, Logistic Regression, and Neural Network. …”
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Content-based indexing of low resolution documents
Published 2016“…A new algorithm that can be used with integrated visual signatures, especially in late fusion query was introduced. …”
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