Search Results - (( development case visualization algorithm ) OR ( java effective classification algorithm ))
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Classification System for Heart Disease Using Bayesian Classifier
Published 2007“…This system was developing base on to three main part which is data processing, testing and implementation of the algorithm. In this system a Bayesian algorithm was used in order to implement the system. …”
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Thalassaemia detection using CBR Algorithm via mobile device
Published 2011“…Moreover,this application will be using the programming language Visual Basic. Net applied in Visual Studio 2008.The methodology has chosen is rapid application development (RAD) where this method is the archive with apparel search requirement. …”
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Undergraduates Project Papers -
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Thalassaemia detection using CBR Algorithm via mobile device
Published 2011“…Moreover,this application will be using the programming language Visual Basic. Net applied in Visual Studio 2008.The methodology has chosen is rapid application development (RAD) where this method is the archive with apparel search requirement. …”
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Undergraduates Project Papers -
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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. However, the classification accuracy and computational cost are not satisfied. …”
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Buildthermo: an algorithm for visualizing building heat dynamics / Amira Shazlin Adnan ... [et al.]
Published 2024“…Our innovative algorithm is rigorously developed and validated, delivering precise assessments and facilitating informed decision-making in urban development. …”
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Conference or Workshop Item -
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The Development Of A Robust Algorithm For Uav Path Planning In 3d Environment
Published 2016“…Thus, a new algorithm known as infection evolution (IE) was developed in this study. …”
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A multi-filter feature selection in detecting distributed denial-of-service attack
Published 2019“…It consists of 3-stage procedures: feature ranking, feature selection and classification. Subsequently, an experimental evaluation of the proposed Multi-Filter Feature Selection (M2FS) method is performed by using the benchmark dataset, NSL-KDD and employed the J48 classification algorithm. …”
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Conference or Workshop Item -
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COVID-19 DATA EXPLORATION USING MAPPER ALGORITHM
Published 2023“…To investigate and capture the development of the pandemic, mapper algorithm can be used to visualize and analyse the COVID data set provided by the government. …”
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Final Year Project Report / IMRAD -
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Development of a new algorithm for segmentation of flotation froth images
Published 2014“…In spite of this fact, the algorithm suffers from oversegmentation in cases when the flotation froth includes large bubbles along with small ones. …”
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Development of an efficient algorithm for fetal heart rate detection: a hardware approach
Published 2006“…The algorithm was initially developed and simulated in Visual C++. …”
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Proceeding Paper -
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The evaluation of contentoriented XML document retrieval: a case study of official letter / Hayati Abd Rahman
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Research Reports -
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Development of a Prediction Algorithm using Boosted Decision Trees for Earlier Diagnoses on Obstructive Sleep Apnea
Published 2018“…The developed prediction iv algorithms have been proven to help medical doctors with earlier clinical diagnoses on OSA cases, especially in Malaysia.…”
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Distracted driver detection with deep convolution neural networks
Published 2023“…This project aims to develop a python algorithm to detect the distracted activities while driving. …”
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Simulation of shortest path using a-star algorithm / Nurul Hani Nortaja
Published 2004“…The development process for this simulation is using programming language of Microsoft Visual C I t 6.0 and the coding creation depends on the algorithm flowchart and the formula pseudocode. …”
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Design of artificial intelligence-based electronic Malay language learning tool for visually impaired children
Published 2011“…The main purpose for this research is to develop a Malay language learning tool for blind children. …”
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Improved abnormal detection using self-adaptive social force model for visual surveillance
Published 2017“…The estimation of the good quality of interaction forces is critical in this case and has not been explored yet. So, Self-Adaptive SFM is developed in order to estimate a good quality of interaction forces since it is crucial to achieve better abnormal detection, which represents the behavior of the crowd. …”
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