Search Results - (( developing nation classification algorithm ) OR ( java application optimisation algorithm ))
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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Sentiment analysis on national cultural tourism using Linear Support Vector Machine (LSVM) / Nur Haida Hanna Samsuddin
Published 2020“…Therefore, the chosen technique is classification and the algorithm that will be applied in the classification process is Linear Support Vector Machines (LSVM). …”
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Poverty Classification of Central Perak Population Using Machine Learning
Published 2019“…The picture of Central Perak development reveals many families are not benefiting from national economic growth. …”
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Final Year Project -
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Web-based expert system for material selection of natural fiber- reinforced polymer composites
Published 2015“…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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Classification of imbalanced travel mode choice to work data using adjustable svm model
Published 2021“…This study deals with imbalanced mode choice data by developing an algorithm (SVMAK) based on a support vector machine model and the theory of adjusting kernel scaling. …”
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Improved Artificial Neural Network Classification Model based Metaheuristic Optimization for Handwritten Character Recognition
Published 2024“…This study addresses the concerns regarding the performance of Handwritten Character Recognition (HCR) systems, focusing on the classification stage. It is widely acknowledged that the development of the classification model significantly impacts the overall performance of HCR. …”
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Classification of cervical cancer using random forest
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Leaf classification on Flavia dataset: A detailed review
Published 2023“…The plant resources are necessary for the survival of the world's nations The purpose of this paper is to examine the frequently utilized and publicly accessible dataset for plant classification in the past. …”
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Poverty Classification in Indonesia Using BiGRU, BPNN, and Stacking AdaBoost Frameworks
Published 2024“…This research addresses the persistent global challenge of poverty, with a specific focus on Indonesia, a nation with a population exceeding 270 million. The primary objective is to enhance the precision and reliability of poverty classification using advanced machine learning technologies. …”
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Classification of compressive strength grades for lightweight aggregate concrete with palm oil fuel ash (POFA) using k-Nearest Neighbour (k-NN)
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Predicting 30-day mortality after an acute coronary syndrome (ACS) using machine learning methods for feature selection, classification and visualization
Published 2021“…The findings of this study will provide a basis for developing an online ML-based population-specific risk scoring calculator.…”
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A modified single-stacked ensemble framework for prognostic analysis of leukemia relapse
Published 2026“…This study contributes to explainable AI in hematology, supports clinical decision-making, enhances patient care, and aligns with United Nations Sustainable Development Goal 3 (Good Health and Well-Being).…”
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Book Chapter -
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Interactive Fuzzy Logic Interface for Enhanced Real-Time Water Quality Index Monitoring
Published 2026journal::journal article -
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Predicting students’ STEM academic performance in Malaysian secondary schools using educational data mining
Published 2023“…Four different data mining classification algorithms which are Random Forest, PART, J48 and Naive Bayes will be used on the dataset. …”
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Wearable based-sensor fall detection system using machine learning algorithm
Published 2021“…As nations develop and prosper economically, their population ages longer and requires extra healthcare. …”
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Proceeding Paper -
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Auditory Evoked Potentials (AEPs) Response Classification: A Fast Fourier Transform (FFT) and Support Vector Machine (SVM) Approach
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Ensemble learning for multidimensional poverty classification
Published 2020“…In addition, the United Nation Development Programme (UNDP) has introduced a set of multi-dimensional poverty measurements but is yet to be applied in the case of Malaysia. …”
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Application of data mining techniques for economic evaluation of air pollution impact and control
Published 2007“…In this research we examine aspects of the interdependence between economic development and the use of environmental and natural resources assets from global data published by United Nations. …”
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