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gets » sets (Expand Search), get (Expand Search)
gels » gel (Expand Search)
elsa » elisa (Expand Search), else (Expand Search), els (Expand Search)
elms » llms (Expand Search), elm (Expand Search), ems (Expand Search)
abella » abellan (Expand Search), gabella (Expand Search), sabella (Expand Search)
mbella » bella (Expand Search), mbell (Expand Search), umbrella (Expand Search)
della » delta (Expand Search), dell (Expand Search)
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201
Properties and mechanism of strain and piezoelectricity of hybrid molecular ferroelectrics
Published 2020“…In summary, this thesis presents the discovery of a new OIHF (PTMA)CdBr3xCl3(1-x) which gets both colossal shear strain and piezoelectric responses. …”
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Thesis-Doctor of Philosophy -
202
The effects of atmosphere-ocean-wave coupling during tropical cyclone
Published 2018“…Within this coupled system, it can be thought that the ocean waves generated at the sea surface are due to the momentum transfer from atmosphere, which subsequently gets transferred to ocean. This transfer of momentum (from atmosphere to ocean) is not a one-way link, i.e., there are feedback effects from ocean (both in terms of enthalpy and momentum) on the atmospheric boundary layer. …”
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Thesis-Doctor of Philosophy -
203
Development of resistive random access memory for next-generation embedded non-volatile memory application
Published 2021“…Besides, the variability of the forming voltage also gets improved by more than 50%. On the contrary, the inhibition effect of the negative voltage is observed for the set process, which implies that the role of the negative voltage varies with the state of the device. …”
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Thesis-Doctor of Philosophy -
204
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205
Extreme learning machines for feature learning
Published 2017“…Hence this thesis extends ELM for feature learning. This thesis introduces an ELM based feature learning framework with linear hidden layer activation function referred to as linear Extreme Learning Machine Auto-Encoder (ELM-AE) and linear Sparse Extreme Learning Machine Auto-Encoder (SELM-AE); ELM-AE and SELM-AE with sigmoid hidden layer activation function referred to as non-linear ELM-AE and non-linear SELM-AE. …”
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Thesis -
206
Indoor occupancy estimation using environmental parameters
Published 2017“…The FS-ELM is in fact a novel architecture of the ELM, in which a feature layer is added to the standard ELM. …”
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Thesis-Doctor of Philosophy -
207
Weighted online sequential extreme learning machine for class imbalance learning
Published 2013“…In this paper, we propose a weighted online sequential extreme learning machine (WOS-ELM) algorithm for class imbalance learning (CIL). …”
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Journal Article -
208
Short-term load forecasting by wavelet transform and evolutionary extreme learning machine
Published 2015“…Each component of the load series is then separately forecasted by a hybrid model of ELM and MABC (ELM-MABC). The global search technique MABC is developed to find the best parameters of input weights and hidden biases for ELM. …”
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Journal Article -
209
Extreme learning machine based fast object recognition
Published 2014“…Besides, the parameter tuning process for ELM is much easier than SVM as well.…”
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Conference Paper -
210
Sequential learning for extreme learning machine
Published 2008“…A novel sequential learning algorihtm for training Single Hidden Layer Feedforward Neural Network (SLFN), Online Sequential Extreme Learning Machine (OS-ELM) is proposed. OS-ELM is based on the combination of Extreme Learning Machine (ELM) and the recursive least-squares (RLS) algorithm. …”
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Thesis -
211
Extreme learning machine for classification and clustering on multiview data
Published 2021“…The ELM auto-encoder (ELM-AE) is adopted for feature extraction and feature fusion, and an ELM classifier is ultilized for the final classification. …”
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Thesis-Doctor of Philosophy -
212
Enhanced extreme learning machines for image classification
Published 2019“…Among numerous machine learning methods, we choose the Extreme Learning Machine (ELM) for our image classification applications. …”
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Thesis -
213
Development of localization algorithms for a WiFi based indoor positioning system with machine learning techniques
Published 2015“…We model the indoor positioning problem under a non-parametric stochastic framework, and modify the well-known ML tool, extreme learning machine (ELM), to achieve the above goal. Firstly, under the assumption that noises merely lie in input data, we modify ELM by introducing a dead zone, which is called DZ-ELM, and integrate it into our IPS. …”
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Thesis -
214
Extreme learning machine based speaker recognition
Published 2011“…Finally and most importantly, the performance of ELM and SVM will be compared. With the results shown in Chapter 6, we can draw the conclusion that ELM is superior to SVM in terms of tuning simplicity, time efficiency and testing accuracy.…”
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Final Year Project (FYP) -
215
ADC architectures for low power analog machine learning
Published 2016“…First, a 1-bit ADC (current comparator) is designed for application in a novel ELM based conditional branch prediction system designed for pipelined processors. …”
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Final Year Project (FYP) -
216
EEG based mind controlled car
Published 2015“…Furthermore, in order to demo the result, we built a remote control car which controlled by the classification result from ELM classifier.…”
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Final Year Project (FYP) -
217
Emotional states classification from brain signals
Published 2013“…Results from the experimental data have indicated that Kernel ELM is the best option as opposed to other SVM variants. …”
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Final Year Project (FYP) -
218
Low-power processors for implantable epileptic seizure detection system
Published 2013“…Extreme Learning Machine (ELM) has gained some attentions recently, due to the fact that learning speed of ELM is really fast compared to the traditional learning algorithm. …”
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Final Year Project (FYP) -
219
Universal machine learning classifier using extreme learning machines
Published 2019“…By using different scales of datasets, we could see the better performance of the proposed classifier and compared with the results of other popular algorithms, so the advantage of the ELM-based universal classifier could be demonstrated. …”
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Final Year Project (FYP) -
220
Structured sparse representations for supervised and unsupervised learning
Published 2020“…This thesis also explores the use of unsupervised ELM (US-ELM) on top of the learned graph to learn a flexible and discriminative data embedding that is beneficial for clustering. …”
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Thesis-Doctor of Philosophy