Showing 41 - 60 results of 2,391 for search '(((senatorial OR (vectoring OR victoria)) OR doctoral) OR victor)*', query time: 0.19s Refine Results
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    Financial time series forecasting using twin support vector regression by Gupta, Deepak, Pratama, Mahardhika, Ma, Zhenyuan, Li, Jun, Prasad, Mukesh

    Published 2019
    “…This paper proposes twin support vector regression for financial time series prediction to deal with noisy data and nonstationary information. …”
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    Journal Article
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    Comparing soft and hard vector processing in FPGA-based embedded systems by Soh, Jun Jie, Kapre, Nachiket

    Published 2015
    “…Soft vector processors can augment and extend the capability of embedded hard vector processors in FPGA-based SoCs such as the Xilinx Zynq. …”
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    Conference Paper
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    Recognition of human activities using a multiclass relevance vector machine by He, Weihua, Yow, Kin Choong, Guo, Yongcai

    Published 2013
    “…We address the issue of human activity recognition by introducing the multiclass relevance vector machine (mRVM), the current state-of-the-art kernel machine learning technology given the multiclass classification problems (actually, activity recognition can commonly be viewed as a multiclass classification problem). …”
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    Journal Article
  8. 48

    Enhancement of lentiviral vector production through alteration of virus-cell interactions by Gelinas, J

    Published 2016
    “…They have been successfully used in <em>ex vivo</em> clinical trials for several haematopoietic stem cell disorders. Lentiviral vectors, however, suffer from substantially lower titres than the more popular adeno-associated virus (AAV)-based vectors and therefore have limited applicability for <em>in vivo</em> gene therapy which requires much greater quantities of virus. …”
    Thesis
  9. 49

    Scalable fabrication of graphene-based laminate membranes for liquid and gas separations by crosslinking-induced gelation and doctor-blade casting by Yang, Euntae, Karahan, H. Enis, Goh, Kunli, Chuah, Chong Yang, Wang, Rong, Bae, Tae-Hyun

    Published 2021
    “…Given the scaleup potential of doctor-blade casting and the practicality of crosslinking-based gelation approach, the proposed approach is promising to increase the industrial relevance of GO-based laminate membranes.…”
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    Journal Article
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    A rotation-invariant additive vector sequence based star pattern recognition by Mehta, Deval Samirbhai, Chen, Shoushun, Low, Kay-Soon

    Published 2020
    “…Later, the additive property of 2-D vectors is integrated with the rotation-invariant frame to build a vector sequence for star identification. …”
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    Journal Article
  11. 51

    Optimized data reuse via reordering for sparse matrix-vector multiplication on FPGAs by Li, Shiqing, Liu, Di, Liu, Weichen

    Published 2022
    “…Sparse matrix-vector multiplication (SpMV) is of paramount importance in both scientific and engineering applications. …”
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    Conference Paper
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    Mosquito as West Nile virus vector: global timeline of detection, characteristic, and biology by Natasha, Jafar Ali, Yasmin, Abd Rahaman, Kumar Sharma, Reuben Sunil, Nur-Fazila, Saulol Hamid, Nur-Mahiza, Md Isa, Arshad, Siti Suri, Mohammed, Hussni Omar, Kumar, Kiven, Keng Loong, Shih, Ahmad Khusaini, Mohd Kharip Shah

    Published 2023
    “…Mosquitoes are extremely important vectors that transmit zoonotic West Nile virus (WNV) globally, resulting in significant outbreaks in birds, humans, and mammals. …”
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    Article
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    Prevalence of offering menopause hormone therapy among primary care doctors and its associated factors: a cross-sectional study by Low, Tiong Lim, Cheong, Ai Theng, Devaraj, Navin Kumar, Ismail, Rohayah

    Published 2024
    “…However, a local study found that the usage of MHT among menopausal women was low (8.1%), with one of the main reasons being it is not recommended by doctors. Therefore, the objectives of this study are to determine the prevalence of offering MHT in treating symptomatic menopausal women among primary care doctors (PCDs) and its associated factors. …”
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    Article
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    Robust training algorithm of neural network and support vector machine for pattern recognition and control by Hu, Wenjie.

    Published 2008
    “…Traditional neural network approaches have suffered from difficulties with gener-alization ability and the over- fitting problem always plagues artificial lintelligence researchers.The support vector machines (SVMs)is a new and very promising classification technique developed by Vapnik and his research group.…”
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    Thesis