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"freezing methods" » "cleaving methods" (Expand Search), "pruning methods" (Expand Search), "riveting methods" (Expand Search)
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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 -
143
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) -
144
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) -
145
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) -
146
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) -
147
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 -
148
Ultralight and Highly Elastic Graphene/Lignin-Derived Carbon Nanocomposite Aerogels with Ultrahigh Electromagnetic Interference Shielding Performance
Published 2018“…Ultralight and highly elastic reduced graphene oxide (RGO)/lignin-derived carbon (LDC) composite aerogels with aligned micron-sized pores and cell walls are prepared using a facile freeze-drying method. The presence of a small fraction of LDC in the cell walls enhances the interfacial polarization effect while almost maintaining the amount of charge carriers and conductivity of the cell walls, greatly boosting the wave absorption capability of the cell walls. …”
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Journal Article -
149
Query cost estimation in DBMS with deep learning
Published 2023“…Our experiments showed that the TreeGBM was ∼120 times faster than state-of-the-art learned methods while maintaining good prediction scores. …”
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Final Year Project (FYP) -
150
Fiber optic technique for determination of moisture content in honey
Published 2015“…The actual moisture content was found from standard oven drying method. Moisture content of fresh honey was approximately 14.3%. …”
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Thesis -
151
Comparison of character recognition performance - bayes classifier and neural network methods
Published 2008“…In this project, two learning schemes had been tested and verified, in the recognition unit within the image processing environment of the Machine Vision Tool, namely the Bayes classifier method and the neural network-error back propagation gradient descent learning method. Their performances were analysed and compared. …”
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Thesis -
152
Microencapsulation of ciplukan (Physalis angulata L.) extract as food ingredients: Effect of water ratio and maltodextrin concentration variables on product characteristics
Published 2023“…The present work evaluated the characteristics of ciplukan (Physalis angulata L.) microcapsule extracts prepared by spray drying method. Different water ratios namely X1 (1:2), X2 (1:5), and X3 (1:10), and maltodextrin concentrations namely Y1 (5%) and Y2 (10%) were applied in a spray drying system to produce microcapsule extracts. …”
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Article -
153
Building student preparedness and confidence: Insights from the global classroom mock job interview
Published 2024“…Yet, a merely traditional formal learning method can be uninteresting, thus a more effective learning experience can be introduced including international collaborative approach. …”
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Article -
154
Factor modeling for clustering high-dimensional time series
Published 2023“…We propose a new unsupervised learning method for clustering a large number of time series based on a latent factor structure. …”
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Journal Article -
155
Value investing with machine learning: the South American market
Published 2024“…The primary machine learning method employed in this study is LSTM (Long Short-Term Memory), which performs well with time series data such as financial data of companies. …”
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Thesis-Master by Coursework -
156
An artificial sensory neuron with tactile perceptual learning
Published 2020“…Furthermore, the recognition error rate can be dramatically decreased from 44% to 0.4% by integrating with the machine learning method. This work represents a step toward the design and use of neuromorphic electronic skin with artificial intelligence for robotics and prosthetics.…”
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Journal Article -
157
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The study of Rashomon effects on machine learning : a case study on breast cancer
Published 2021“…This theory has been translated into a popular machine learning method: Random Forests which uses bootstrapping (bagging) algorithms to create a set of uncorrelated decision trees that together make the decision (prediction) of the final result. …”
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Final Year Project (FYP) -
159
Health monitoring of induction motor with impedance analysis and artificial intelligence
Published 2022“…The proposed technique for detecting stator winding faults in induction motors discussed in this study is a non-intrusive Machine Learning method. The early stages of any stator winding faults can be detected by using frequency and impedance magnitude data as my main parameters. …”
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Final Year Project (FYP) -
160
Learning Bregman distance functions for semi-supervised clustering
Published 2013“…We verify the efficacy of the proposed distance learning method with extensive experiments on semi-supervised clustering. …”
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Journal Article