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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) -
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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 -
126
Automatic knee segmentation from multi-contrast MR images
Published 2013“…The choice of the classifier can be some powerful classification models such as SVM and ELM. The advantages of the developed scheme are achieved via effective incorporation of both a useful feature set and the ELM (or SVM) classification with spatial dependencies between neighboring voxels via a DRF framework. …”
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Thesis -
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A collaborative model in persuasive web design: multiple case study of Lazada and Shopee
Published 2023“…This study examined online persuasion through website design by using the Elaboration Likelihood Model (ELM) and Persuasive System Design (PSD). This study investigates the phenomenon of the success of Lazada and Shopee to provide guidelines for website designers and local sellers to enhance the e-commerce website’s persuasiveness. …”
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Conference or Workshop Item -
129
Geometry guided supervised representation learning for classification
Published 2020“…The extreme learning machine auto-encoder (ELM-AE) is an extension of ELM, which is well-known for its fast training speed and strong generalization ability. …”
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Thesis-Doctor of Philosophy -
130
Mitigation study and approach for safe drone operations in low-altitude environments
Published 2022“…The average accuracy and macro-averaged F1 scores for the OS-Fuzzy- ELM fault diagnosis model are 80.2% and 78.0%.…”
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Final Year Project (FYP) -
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Simulation and result analysis of digital signal processing related algorithms using MATLAB
Published 2011“…SanGregory, Charles Brothers and David Gallagher’s approximation, Khalid H. Abed and Raymond E. Siferd’s approximation, Zhijun Li, Jianping An, Miao Tang and Jing Yang’s approximation and Tso-Bing Juang, Sheng-Hung Chen and Huang-Jia Cheng’s approximation. …”
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Final Year Project (FYP) -
135
Investigation of fluorescence lifetime imaging for quantitative cervical cancer screening and diagnosis
Published 2015“…The results suggest that the proposed fluorescence lifetime imaging of H&E stained cervical tissue sections with the quantitative neural network ELM could be used to aid and supplement the traditional histopathological examinations. …”
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Thesis -
136
Research of modeling and optimization approaches for hybrid ejector-based air conditioning cycle
Published 2017“…Both simulation and experiment results indicate that the ANN trained with ELM possesses lesser deviation between actual value and predicted value than the ones with other learning algorithms. 3. …”
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Thesis -
137
TFIDF meets deep document representation : a re-visit of co-training for text classification
Published 2020“…Many text classification tasks face the challenge of lack of sufficient la- belled data. Co-training algorithm is a candidate solution, which learns from both labeled and unlabelled data for better classification accuracy. …”
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Final Year Project (FYP) -
138
Empirical comparison of bagging-based ensemble classifiers
Published 2014“…This paper compares empirically four bagging-based ensemble classifiers, namely the ensemble adaptive neuro-fuzzy inference system (ANFIS), the ensemble support vector machine (SVM), the ensemble extreme learning machine (ELM) and the random forest. The comparison of these four ensemble classifiers is novel because it has not been reported in the existing literature. …”
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Conference Paper -
139
Digitalization, New Media, and Education for Sustainable Development /
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software, multimedia -
140
A review of reporting quality in case-control studies of pancreatic cancer
Published 2020“…Each study was scored by both a researcher and a statistician using a reporting adherence form based on the STROBE checklist for case-control studies. -- (1) von Elm E, Altman DG, Egger M, et al. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: guidelines for reporting observational studies. …”
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