Search alternatives:
"tuning method" » "counting method" (Expand Search), "pruning methods" (Expand Search), "sensing method" (Expand Search)
"mining method" » "making method" (Expand Search), "imaging method" (Expand Search), "sensing method" (Expand Search)
"tuning method" » "counting method" (Expand Search), "pruning methods" (Expand Search), "sensing method" (Expand Search)
"mining method" » "making method" (Expand Search), "imaging method" (Expand Search), "sensing method" (Expand Search)
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141
Feature extraction from EEG signals and regularization for brain-computer interface
Published 2020“…The goal of this research is to improve feature extraction and regularization of EEG signals using machine learning methods and hence achieve better results during the classification of the signals for motor imagery BCI (MI-BCI). …”
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Thesis-Doctor of Philosophy -
142
Natural robustness of machine learning in the open world
Published 2023“…Secondly, classic machine learning methods are built on the i.i.d. assumption that training and testing data are independent and identically distributed. …”
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Thesis-Doctor of Philosophy -
143
Sensor-based human activity recognition via zero-shot learning
Published 2019“…For problems under this problem setting, as there are no labeled training instances belonging to the unseen classes, the zero-shot learning methods are used. We focus on three problems under this setting. …”
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Thesis -
144
Offline eLearning for undergraduates in health professions : a systematic review of the impact on knowledge, skills, attitudes and satisfaction
Published 2019“…To inform investments in offline eLearning, we need to establish its effectiveness in terms of gaining knowledge and skills, students’ satisfaction and attitudes towards eLearning. Methods: We conducted a systematic review of offline eLearning for students enrolled in undergraduate, health–related university degrees. …”
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Journal Article -
145
Digital problem-based learning in health professions : systematic review and meta-analysis by the digital health education collaboration
Published 2019“…We included studies that compared the effectiveness of DPBL with traditional learning methods or other forms of digital education in improving health professionals’ knowledge, skills, attitudes, and satisfaction. …”
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Journal Article -
146
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147
Brain computer interface for post-stroke motor rehabilitation
Published 2021“…Moving ahead, we analyze the classification performance of proposed and baseline deep learning architectures and traditional machine learning methods for MI detection in 25 chronic stroke patients undergoing three different BCI-based motor rehabilitation interventions for 2/4 weeks. …”
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Thesis-Doctor of Philosophy -
148
Fabrication and characterization of Algan/Gan high electron mobility transistors on silicon
Published 2016“…Therefore, the current experimental studies suggest that the Ge doping approach is more suitable as a VTH tuning method. Although the fabrication cost of GaN-based devices can be reduced significantly through the incorporation with Si technology, there are several challenges which impede the incorporation of GaN-based devices with Si technology. …”
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Thesis -
149
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150
Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measures
Published 2024“…Future studies incorporating higher dimensional brain imaging/phenotype features, and/or using more advanced machine and deep learning methods may yield more encouraging prospects.…”
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Journal Article -
151
Automatic categorization of geography examination questions.
Published 2008“…Text categorization as part of Text Mining (or Data Mining) methods is used to automate the classification of geography examination questions. …”
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Thesis -
152
A review of homogenous ensemble methods on the classification of breast cancer data
Published 2024“…In the medical field, data mining methods can assist in performing various medical diagnoses, including breast cancer. …”
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Article -
153
Development and optimization of polystyrene nanoparticle templated optical fiber platform for in vivo surface enhanced Raman spectroscopy.
Published 2011“…Two novel methods have been proposed to deposit the PS nanospheres monolayer on the fiber tip, including a simple ‘dip and dry’ method and PS nanospheres anchoring using chemical method. …”
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Final Year Project (FYP) -
154
Fabrication of crosslinked spray dried alginate microparticles for encapsulation of bioactives
Published 2021“…In this study, crosslinked calcium alginate microparticles were successfully fabricated using a novel one-step spray drying method. The one step fabrication eliminates the need for multiple crosslinking and drying steps, as in traditional calcium alginate microparticles production. …”
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Final Year Project (FYP) -
155
Deep reinforcement learning for optimal resource allocation
Published 2022“…In addition, this project will practice parameter tuning methods on the algorithm to obtain a parameter set that can achieve the most optimal result.…”
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Final Year Project (FYP) -
156
Night vision with unmanned surface vehicle (USV)
Published 2021“…Besides that, this research also involves sourcing code on a deep learning method for transferring night-time images to daytime images. …”
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Final Year Project (FYP) -
157
Fabrication and characterization of protein-based tissue scaffold
Published 2011“…The SF scaffolds were prepared and fabricated via freeze drying method for five different sets of SF concentration - (5, 7.5, 10, 12.5, 15%) wt/wt. …”
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Final Year Project (FYP) -
158
Placing objects in context via inpainting for out-of-distribution segmentation
Published 2024“…In our experiments, we present different anomaly segmentation datasets based on POC-generated data and show that POC can improve the performance of recent state-of-the-art anomaly fine-tuning methods across several standardized benchmarks. …”
Conference item -
159
Active learning for ontological event extraction incorporating named entity recognition and unknown word handling
Published 2016“…We also apply our active learning method for the task of named entity recognition. …”
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Journal Article -
160
A BIM-data mining integrated digital twin framework for advanced project management
Published 2022“…To be specific, IoT connects the physical and cyber world to capture real-time data for modeling and analyzing, and data mining methods incorporated in the virtual model aim to discover hidden knowledge in collected data. …”
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Journal Article