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pruning methods » tuning method (Expand Search), freezing methods (Expand Search), thinking methods (Expand Search)
testing methods » teaching methods (Expand Search), existing methods (Expand Search), casting method (Expand Search)
pruning methods » tuning method (Expand Search), freezing methods (Expand Search), thinking methods (Expand Search)
testing methods » teaching methods (Expand Search), existing methods (Expand Search), casting method (Expand Search)
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Analysis of TEM data using machine learning methods
Published 2021“…This paper also presents a comparison of imaging techniques, such as filtering and machine learning methods, that would improve the quality of the raw liquid phase images.…”
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Final Year Project (FYP) -
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Stock market price forecasting with machine learning methods
Published 2017“…Moreover, a method for signal decomposition called empirical mode decomposition is used to improve the accuracy, along with five datasets that are utilized to test and verify the effectiveness of the proposed method.…”
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Thesis -
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Deep learning method for driver identification using vehicle sensor data
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Thesis-Master by Coursework -
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A unified fisher’s ratio learning method for spatial filter optimization
Published 2018“…We evaluate the proposed method on a binary motor imagery data set of 16 subjects, who performed the calibration and test sessions on different days. …”
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Journal Article -
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Deep learning methods for genome-based prediction of drug resistance in Mycobacterium tuberculosis
Published 2023“…In this doctoral thesis, which is based on the CRyPTIC datasets, we explore and develop a variety of machine learning and deep learning methods. Our research includes the application of binary classifiers for predicting MTB resistance labels, the employment of multi-class classification and ordinal regression techniques for predicting minimum inhibitory concentrations of MTB, and the implementation of calibration models to improve the uncertainty estimation in our predictions.…”
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Predicting the work function of 2D MXenes using machine-learning methods
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Journal Article -
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Sustainable oil palm resource assessment based on an enhanced deep learning method
Published 2022“…The enhanced FRCNN (EFRCNN) leads to improved performance for detecting objects (in the same image) when they are of multiple sizes by using a feature concatenation method. Transfer learning based on a ResNet50 model is used to extract the features of the input image. …”
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Numerical Methods for Engineers /
Published 2006“…Each part closes with an Epilogue containing sections called "Trade-Offs", "Important Relationships and Formulas", and "Advanced Methods and Additional References". Much more than a summary, the Epilogue deepens understanding of what has been learned and provides a peek into more advanced methods. …”
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Effect of different drying methods on retention of colour, total phenolic content, flavonoid content and antioxidant activity in Pereskia bleo leaves
Published 2024“…The tested drying methods include shade, oven, microwave, and freeze-drying. …”
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Non destructive testing methods for Quayside Cranes
Published 2008“…There is no known software in the world that can recommend the appropriate type of Non Destructive Testing (NDT) methods to be applied for various industrial applications. …”
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Thesis -
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Non-Destructive Material Characterization Methods /
Published 2023“…Non-Destructive Material Characterization Methods provides readers with a trove of theoretical and practical insight into how to implement different non-destructive testing methods for effective material characterization. …”
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