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  1. 41

    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
  2. 42

    Understanding Indexing Efficiency for Approximate Nearest Neighbor Search in High-dimensional Vector Databases by Qin, Yuting

    Published 2024
    “…Deep learning has transformed almost all types of data (e.g., images, videos, documents) into high-dimension vectors, which in turn forms Vector Databases as the data engines of various applications. …”
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    Thesis
  3. 43

    Echocardiogram Vector Embeddings Via R3D Transformer for the Advancement of Automated Echocardiography by Chung, Daniel J, Lee, Somin Mindy, Kaker, Vasu, Zhao, Yongyi, Bin, Irbaz, Perera, Sudheesha, Sasankan, Prabhu, Tang, George, Kazzi, Brigitte, Kuo, Po-Chih, Celi, Leo A, Kpodonu, Jacques

    Published 2025
    “…Automated echocardiography models are an attractive solution for high-variance human EF estimation, and key to this goal are echocardiogram vector embeddings, which are a critical resource for computational researchers. …”
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    Article
  4. 44
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    New multipurpose M13Ke phage display vector for screening and developing biosensors by Fang, Yue Qin

    Published 2010
    “…We aim to engineer a multipurpose M13KE phage display vectors which contains an additional gene III for peptide or protein display to create biosensors for glucose blood sugar levels to help fight diabetes. …”
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    Thesis
  6. 46

    Iterative sparse matrix vector multiplication (SpMV) over GF(2) with CUDA by Prashanth Srinivas G S.

    Published 2011
    “…To fulfil such purposes Iterative Sparse Matrix Vector Multiplication (SpMV) algorithms need to be designed using useful languages like CUDA that enable seamless communication with GPUs and this is the primary intent of this project.…”
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    Final Year Project (FYP)
  7. 47

    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
  8. 48

    Signal recovery from multiple measurement vectors via tunable random projection and boost by Gai, Jianxin., Fu, Ping., Li, Zhen., Qiao, Jiaqing.

    Published 2013
    “…The problem of recovering a sparse solution from Multiple Measurement Vectors (MMVs) is a fundamental issue in the field of signal processing. …”
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    Journal Article
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  14. 54

    Space vector pulse-width modulation based maximum boost control of Z-source inverters by Yu, Kun., Luo, Fang Lin., Zhu, Miao.

    Published 2013
    “…In this paper, a novel maximum boost control method is presented based on the space vector pulse-width modulation (SVPWM) technique for the three-phase Z-source inverter (ZSI). …”
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    Conference Paper
  15. 55

    A mixing vector based an affine combination of two adaptive filters for sensor array beamforming by Lu, S. T., Sun, J. P., Wang, G. H., Lu, Yilong.

    Published 2013
    “…The proposed approach adaptively combines two individual filters by coefficient weights vector instead of one scale parameter and takes the constraint of affine combination into consideration rather than previous studies. …”
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    Journal Article
  16. 56
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    Ensemble incremental learning Random Vector Functional Link network for short-term electric load forecasting by Qiu, Xueheng, Suganthan, Ponnuthurai Nagaratnam, Amaratunga, Gehan A. J.

    Published 2020
    “…A hybrid incremental learning approach composed of Discrete Wavelet Transform (DWT), Empirical Mode Decomposition (EMD) and Random Vector Functional Link network (RVFL) is presented in this work. …”
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    Journal Article
  18. 58

    Received signal strength based indoor positioning using a random vector functional link network by Cui, Wei, Zhang, Le, Li, Bing, Guo, Jing, Meng, Wei, Wang, Haixia, Xie, Lihua

    Published 2020
    “…In this work, a random vector functional link network based approach is introduced to address these issues. …”
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    Journal Article
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    Lights, camera, and action : vertebrate skin sets the stage for immune cell interaction with arthropod-vectored pathogens by Chong, Shu Zhen., Evrard, Maximilien., Ng, Lai Guan.

    Published 2014
    “…Despite increasing studies targeted at host-pathogen interactions, vector-borne diseases remain one of the largest economic health burdens worldwide. …”
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    Journal Article