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Development of an intelligent prediction tool for rice yield based on machine learning techniques
Published 2006“…In this work. the main focu s is on classification and clustering techniques for data analysis based on statistical and machine learning approaches. Support vector machine algorithm is developed for classification of rice plantation data. …”
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Sauvola Segmentation and Support Vector Machine-Salp Swarm Algorithm Approach for Identifying Nutrient Deficiencies in Citrus Reticulata Leaves
Published 2024“…Integrating SSA and SVM machine learning algorithms improves decision-making processes, leading to better crop yield through early detection and timely nutrient management. …”
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Flexible job shop scheduling using priority heuristics and genetic algorithm
Published 2010“…Experimental results over all instances indicated that the most work remaining rule with earliest completion time rule (MWKR-ECT) and earliest completion time rule (ECT) achieved the minimum of makespan up to 65% and 34% of all instances in comparison with other proposed heuristic procedures. In the next method, a genetic algorithm has been developed. …”
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A novel hybrid evolutionary mating algorithm for Covid19 confirmed cases prediction based on vaccination
Published 2023“…First, the best hyperparameter values of the RBF kernel-based LSSVM (least square support vector machine) were determined using the most recent Evolutionary Mating Algorithm (EMA). …”
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Predicting open space parking vacancies using machine learning
Published 2023“…A custom object detector developed using the YOLOv4 algorithm was used to collect the data for training the machine learning model. …”
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Development of classification algorithms of human gait
Published 2022“…Two classification algorithms were developed: Support Vector Machine (SVM) classification algorithm and Artifical Neural Network (ANN). …”
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Final Year Project / Dissertation / Thesis -
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Advanced machine learning algorithm to predict the implication of climate change on groundwater level for protecting aquifer from depletion
Published 2025“…Therefore, the current study aimed to propose an accurate GWL prediction model using advanced machine learning (ML) algorithms in five populated towns, namely Jenderam, Bangi, Beranang, Kajang, and Paya Indah Wetland which are in Selangor, Malaysia. …”
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A new machine learning-based hybrid intrusion detection system and intelligent routing algorithm for MPLS network
Published 2023“…This thesis proposes a hybrid ML-based intrusion detection system (ML-IDS) and ML-based intelligent routing algorithm (ML-RA) for MPLS network. The research is divided into three parts, which are (1) dataset development, (2) algorithm development, and (3) algorithm performance evaluation. …”
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Classification prediction of PM10 concentration using a tree-based machine learning approach
Published 2022“…Therefore, in this study, three machine learning algorithms—namely, decision tree (DT), boosted regression tree (BRT), and random forest (RF)—were applied for the prediction of PM10 in Kota Bharu, Kelantan. …”
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Forensic language of property theft genre based on mathematical formulae and machine learning algorithms / Hana' Abd Razak
Published 2020“…Firstly, a set of mathematical formulae is developed according to the consented forensic postures to verify the anthropometric traits of the postures. …”
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Context aware app recommendation using email semantic analysis
Published 2019“…The recommendation system is planned to develop by using data mining and machine learning. …”
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Final Year Project / Dissertation / Thesis -
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FRUIT RECOGNITION APPLICATION USING MACHINE LEARNING
Published 2023“…Overall, our approach demonstrates a thorough and systematic approach to developing a fruit recognition system using machine learning techniques…”
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Final Year Project Report / IMRAD -
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Data Mining On Machine Breakdowns And Effectiveness Of Scheduled Maintenance
Published 2019“…Last but not least, some of the complex data mining tasks are not able to perform because of the limited algorithms and machine learning in Orange software.…”
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Fake news detection: A machine learning approach
Published 2021“…Once the dataset was created, several machine learning algorithms were used to train several different models. …”
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Final Year Project / Dissertation / Thesis -
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Feedforward neural network for solving particular fractional differential equations
Published 2024“…Then, a single hidden layer of FNN based on Chelyshkov polynomials with an extreme learning machine algorithm (SHLFNNCP-ELM) is constructed for solving FDEsC. …”
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Forecasting road deaths in Malaysia using support vector machine
Published 2020“…This study proposes a new approach in forecasting the road deaths, by means of a machine learning algorithm known as Support Vector Machine. …”
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