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Comparison of machine learning algorithms for estimating mangrove age using sentinel 2A at Pulau Tuba, Kedah, Malaysia / Fareena Faris Francis Singaram
Published 2021“…The supervised machine learning algorithm, SVM and Decision Tree are used for the estimation of the mangrove age into young and mature. …”
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Thesis -
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Support Vector Machines (SVM) in Test Extraction
Published 2006“…This project's objective is to create a summarizer, or extractor, based on machine learning algorithms, which are namely SVM and K-Means. …”
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Final Year Project -
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Support Vector Machines (SVM) in Test Extraction
Published 2006“…This project's objective is to create a summarizer, or extractor, based on machine learning algorithms, which are namely SVM and K-Means. …”
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Final Year Project -
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Support vector machine in precision agriculture: a review
Published 2021“…The Support Vector Machine (SVM) is a Machine Learning (ML) algorithm which may be used for acquiring solutions towards better crop management. …”
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Article -
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A study on classification learning algorithms to predict crime status.
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Article -
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Improving Support Vector Machine Performance using Modified Similarity Distance Plotting-Data Reduction
Published 2025“…Its potential applications extend to large-scale data analysis, big data environments, and real-time machine learning systems where computational efficiency is critical.…”
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Article -
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Gender identification using support vector machines
Published 2023“…This thesis is introduces SVM theory application and its algorithmic implementations.…”
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Analysing machine learning models to detect disaster events using social media
Published 2023text::Thesis -
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Application of machine learning algorithms to predict removal efficiency in treating produced water via gas hydrate-based desalination
Published 2025“…Among these, the SVM model showed the best predictive accuracy, R2 of 0.98, with the lowest AIC (56.75), RMSE (1.50), and MAE (1.22) values, highlighting its robustness in capturing the intricate dependencies between operational parameters and removal performance. …”
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Article -
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Fault classification in smart distribution network using support vector machine
Published 2023“…In this paper, a machine-learning algorithm known as Support Vector Machine (SVM) for fault type classification in distribution system has been developed. …”
Article -
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Evaluating JA-ABC5 hyperparameter optimisation with classifiers
Published 2024“…However, its application in hyperparameter optimisation for machine learning classifiers deserves exploration.The effectiveness of ABC and its modified version, JA-ABC5, for hyperparameter optimisation across various classifiers, including Support Vector Machine (SVM) and K-Nearest Neighbour (KNN), is studied in this research. …”
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Conference or Workshop Item -
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A comparative analysis of LSTM, SVM, and GSTANN models for enhancing solar power prediction
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Proceeding Paper -
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The influence of machine learning on the predictive performance of cross-project defect prediction: empirical analysis
Published 2024“…This empirical investigation delves into the influence of machine learning (ML) algorithms in the realm of cross-project defect prediction, employing the AEEEEM dataset as a foundation. …”
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Article -
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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 -
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Development Of Machine Learning User Interface For Pump Diagnostics
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Monograph -
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Design of a pattern classification system using extreme learning machine
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Machine learning-based leukemia classification using gene expression for accurate diagnosis
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Proceeding Paper -
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Named entity recognition using a new fuzzy support vector machine.
Published 2008“…Machine learning method is more famous and applicable than others, because it’s more portable and domain independent. …”
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Wearable based-sensor fall detection system using machine learning algorithm
Published 2021“…In this project, a wearable sensor-based fall detection system using a machine-learning algorithm had been developed. An application called ‘AndroSensor’ on a smartphone, that retrieves real-time data from accelerometer, gyroscope and gravity sensors, is used as the input signals. …”
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Proceeding Paper
