Showing 121 - 140 results of 160 for search '((elms OR esa) OR ((delsa OR ((abell OR abe) OR balla)) OR (ella OR bell)))', query time: 0.18s Refine Results
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    Low-power processors for implantable epileptic seizure detection system by Baihaqi, Muhammad Rayhan

    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 by Zeng, Yijie

    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
  6. 126

    Automatic knee segmentation from multi-contrast MR images by Zhang, Kunlei

    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 by Loh, Yin Xia, Choon Sen Seah, Choon Sen Seah, Muhammad Arif, Ezatul Emilia, Jalaludin, Farah Waheeda, Chin, Wai Yin, Abdul Hamid, Nor Aziati

    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
  9. 129

    Geometry guided supervised representation learning for classification by Li, Yue

    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
  10. 130

    Mitigation study and approach for safe drone operations in low-altitude environments by Sidharth, R Sai

    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 by Koh, Chee Meng.

    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)
  15. 135

    Investigation of fluorescence lifetime imaging for quantitative cervical cancer screening and diagnosis by Gu, Jun

    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
  16. 136

    Research of modeling and optimization approaches for hybrid ejector-based air conditioning cycle by Wang, Hao

    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
  17. 137

    TFIDF meets deep document representation : a re-visit of co-training for text classification by Chen, Zhiwei

    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)
  18. 138

    Empirical comparison of bagging-based ensemble classifiers by Suganthan, P. N., Ye, Ren

    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
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    A review of reporting quality in case-control studies of pancreatic cancer by MacCarthy, A, MacCarthy, A, Dhiman, P, Dhiman, P, Kirtley, S, Kirtley, S, Logullo, P, Logullo, P, Copsey, B, Copsey, B, Collins, G, Collins, G

    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. …”
    Dataset