Showing 141 - 160 results of 827 for search '(((gets OR (els OR elms)) OR esa) OR ((bdella OR mbplla) OR ella))', query time: 0.19s Refine Results
  1. 141

    The effects of atmosphere-ocean-wave coupling during tropical cyclone by Garg, Nikhil

    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
  2. 142

    Development of resistive random access memory for next-generation embedded non-volatile memory application by Sun, Jianxun

    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
  3. 143

    Mujeres a la fuga: narrativa del viaje como vehículo de resistencia para las mujeres en tránsito por México = Women on the run: narrative of the journey as a vehicle of resistance... by López, María E., Díaz de León, Alejandra, Castro Sam, Ana Sabina

    Published 2024
    “…Las mujeres, muchas de ellas al cargo de sus hijos, surgen en el relato como sujetos interesantes atravesados por múltiples y cambiantes realidades, con autonomía, agencia y subjetividad política. …”
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    Article
  4. 144

    Extreme learning machines for feature learning by Liyanaarachchi Lekamalage, Chamara Kasun

    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
  5. 145

    A high power driver IC for electroluminescent panel: design challenges and advantages of using the emerging LEES-SMART GAN-on-CMOS process by Jia, Zhou, Ge, Tong, Guo, Linfei, Eileen, Ng Pei Jian, He, Huiqiao, Chang, Joseph

    Published 2018
    “…Despite the increased popularity of the EL panel, driver circuit for large EL panel is nascent in part because of the required high output power. …”
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    Journal Article
  6. 146

    Indoor occupancy estimation using environmental parameters by Masood, Khalid Mustafa

    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
  7. 147

    Weighted online sequential extreme learning machine for class imbalance learning by Lin, Zhiping, Mirza, Bilal., Toh, Kar-Ann.

    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
  8. 148

    Short-term load forecasting by wavelet transform and evolutionary extreme learning machine by Li, Song, Wang, Peng, Goel, Lalit

    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
  9. 149

    Extreme learning machine based fast object recognition by Xu, Jiantao, Zhou, Hongming, Huang, Guang-Bin

    Published 2014
    “…Besides, the parameter tuning process for ELM is much easier than SVM as well.…”
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    Conference Paper
  10. 150

    Sequential learning for extreme learning machine by Liang, Nanying

    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
  11. 151

    Extreme learning machine for classification and clustering on multiview data by Chen, Jichao

    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
  12. 152

    Enhanced extreme learning machines for image classification by Cui, Dongshun

    Published 2019
    “…Among numerous machine learning methods, we choose the Extreme Learning Machine (ELM) for our image classification applications. …”
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    Thesis
  13. 153

    Development of localization algorithms for a WiFi based indoor positioning system with machine learning techniques by Lu, Xiaoxuan

    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
  14. 154

    Extreme learning machine based speaker recognition by Hu, Zongjiang.

    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)
  15. 155
  16. 156

    Advances in alternating current electroluminescent devices by Wang, Lin, Xiao, Lian, Gu, Haoshuang, Sun, Handong

    Published 2020
    “…The challenges and opportunities for the further development of AC‐driven EL devices are also discussed.…”
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    Journal Article
  17. 157

    ADC architectures for low power analog machine learning by David Bose, Christin

    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)
  18. 158

    Emergency logistics considering traffic congestion by Wang, Qingyi

    Published 2018
    “…Emergency logistics (EL) is the key to alleviate disaster impacts and to accelerate pre- and post-disaster relief operations. …”
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    Thesis
  19. 159

    EEG based mind controlled car by Li, Yue

    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)
  20. 160

    Emotional states classification from brain signals by Lee, Vinson Bing Jun.

    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)