Search Results - "Wong, Prudence W. H."

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  1. 1

    New structural and functional contexts of the Dx[DN]xDG linear motif: insights into evolution of calcium-binding proteins by Rigden, Daniel J, Woodhead, Duncan D, Wong, Prudence W H, Galperin, Michael Y

    Published in PloS one (24-06-2011)
    “…Binding of calcium ions (Ca²⁺) to proteins can have profound effects on their structure and function. Common roles of calcium binding include structure…”
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  2. 2

    Parameter Estimation of Photovoltaic Models via Cuckoo Search by Ma, Jieming, Ting, T. O., Man, Ka Lok, Zhang, Nan, Guan, Sheng-Uei, Wong, Prudence W. H.

    Published in Journal of Applied Mathematics (01-01-2013)
    “…Since conventional methods are incapable of estimating the parameters of Photovoltaic (PV) models with high accuracy, bioinspired algorithms have attracted…”
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  3. 3

    Filtering of Ineffective siRNAs and Improved siRNA Design Tool by Yiu, S. M., Wong, Prudence W. H., Lam, T.W., Mui, Y.C., Kung, H. F., Lin, Marie, Cheung, Y. T.

    Published in Bioinformatics (15-01-2005)
    “…Motivation: Short interfering RNAs (siRNAs) can be used to suppress gene expression and possess many potential applications in therapy, but how to design an…”
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  4. 4

    Transcriptome analysis of the filamentous fungus Aspergillus nidulans directed to the global identification of promoters by Sibthorp, Christopher, Wu, Huihai, Cowley, Gwendolyn, Wong, Prudence W H, Palaima, Paulius, Morozov, Igor Y, Weedall, Gareth D, Caddick, Mark X

    Published in BMC genomics (03-12-2013)
    “…The filamentous fungus Aspergillus nidulans has been a tractable model organism for cell biology and genetics for over 60 years. It is among a large number of…”
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  5. 5

    A note on “An optimal online algorithm for single machine scheduling to minimize total general completion time” by Yu, Sheng, Wong, Prudence W.H.

    Published in Information processing letters (15-01-2012)
    “…In this paper we study the problem of online scheduling of jobs with release times on a single machine to minimize the total general completion time ∑ C j α ,…”
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  6. 6

    Lifelong Machine Learning Architecture for Classification by Hong, Xianbin, Guan, Sheng-Uei, Man, Ka Lok, Wong, Prudence W. H.

    Published in Symmetry (Basel) (01-05-2020)
    “…Benefiting from the rapid development of big data and high-performance computing, more data is available and more tasks could be solved by machine learning…”
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  7. 7

    Dual-Track Lifelong Machine Learning-Based Fine-Grained Product Quality Analysis by Hong, Xianbin, Guan, Sheng-Uei, Xue, Nian, Li, Zhen, Man, Ka Lok, Wong, Prudence W. H., Liu, Dawei

    Published in Applied sciences (01-02-2023)
    “…Artificial intelligence (AI) systems are becoming wiser, even surpassing human performances in some fields, such as image classification, chess, and Go…”
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  8. 8

    Improved multi-processor scheduling for flow time and energy by Lam, Tak-Wah, Lee, Lap-Kei, To, Isaac K. K., Wong, Prudence W. H.

    Published in Journal of scheduling (01-02-2012)
    “…Energy usage has been an important concern in recent research on online scheduling. In this paper, we study the tradeoff between flow time and energy (Albers…”
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  9. 9

    Parameter estimation of photovoltaic model via parallel particle swarm optimization algorithm by Ma, Jieming, Man, Ka Lok, Guan, Sheng-Uei, Ting, T. O., Wong, Prudence W. H.

    Published in International journal of energy research (10-03-2016)
    “…Summary Recently, bio‐inspired metaheuristic algorithms have been widely used as powerful optimization tools to estimate crucial parameters of photovoltaic…”
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  10. 10

    Semiglobal Sequence Alignment with Gaps Using GPU by Carroll, Thomas C., Ojiaku, Jude-Thaddeus, Wong, Prudence W.H.

    “…In this paper, we consider the pair-wise semiglobal sequence alignment problem with gaps, which is motivated by the re-sequencing problem that requires to…”
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  11. 11

    Approximate Single-Diode Photovoltaic Model for Efficient I-V Characteristics Estimation by Wong, Prudence W. H., Guan, Sheng-Uei, Zhang, Nan, Ting, T. O., Man, Ka Lok, Ma, Jieming

    Published in TheScientificWorld (01-01-2013)
    “…Precise photovoltaic (PV) behavior models are normally described by nonlinear analytical equations. To solve such equations, it is necessary to use iterative…”
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  12. 12

    Hierarchical Meta-Learning in Time Series Forecasting for Improved Interference-Less Machine Learning by Afolabi, David, Guan, Sheng-Uei, Man, Ka, Wong, Prudence, Zhao, Xuan

    Published in Symmetry (Basel) (01-11-2017)
    “…The importance of an interference-less machine learning scheme in time series prediction is crucial, as an oversight can have a negative cumulative effect,…”
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  13. 13

    Deadline scheduling and power management for speed bounded processors by Han, Xin, Lam, Tak-Wah, Lee, Lap-Kei, To, Isaac K.K., Wong, Prudence W.H.

    Published in Theoretical computer science (06-09-2010)
    “…In this paper we consider online deadline scheduling on a processor that can manage its energy usage by scaling the speed dynamically or entering a sleep…”
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  14. 14

    The mutated subsequence problem and locating conserved genes by Chan, H. L., Lam, T. W., Sung, W. K., Wong, Prudence W. H., Yiu, S. M., Fan, X.

    Published in Bioinformatics (15-05-2005)
    “…Motivation: For the purpose of locating conserved genes in a whole genome scale, this paper proposes a new structural optimization problem called the Mutated…”
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  15. 15

    An efficient algorithm for optimizing whole genome alignment with noise by Wong, Prudence W. H., Lam, T. W., Lu, N., Ting, H. F., Yiu, S. M.

    Published in Bioinformatics (01-11-2004)
    “…Motivation: This paper is concerned with algorithms for aligning two whole genomes so as to identify regions that possibly contain conserved genes. Motivated…”
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  16. 16

    Non-preemptive Scheduling in a Smart Grid Model and Its Implications on Machine Minimization by Liu, Fu-Hong, Liu, Hsiang-Hsuan, Wong, Prudence W. H.

    Published in Algorithmica (01-12-2020)
    “…We study a scheduling problem arising in demand response management in smart grid. Consumers send in power requests with a flexible feasible time interval…”
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  17. 17

    Profit Maximization in Flex-Grid All-Optical Networks by Shalom, Mordechai, Wong, Prudence W. H., Zaks, Shmuel

    Published in Theory of computing systems (01-02-2020)
    “…All-optical networks have been largely investigated due to their high data transmission rates. The key to the high speeds in all-optical networks is to…”
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  18. 18

    Greedy is Optimal for Online Restricted Assignment and Smart Grid Scheduling for Unit Size Jobs by Liu, Fu-Hong, Liu, Hsiang-Hsuan, Wong, Prudence W. H.

    Published in Theory of computing systems (01-08-2021)
    “…We study online scheduling of unit-sized jobs in two related problems, namely, restricted assignment problem and smart grid problem. The input to the two…”
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  19. 19

    Station Assignment with Reallocation by Halper, Austin, Mosteiro, Miguel A., Rossikova, Yulia, Wong, Prudence W. H.

    Published in Algorithmica (15-03-2019)
    “…We study a dynamic allocation problem that arises in various scenarios where mobile clients joining and leaving the system have to communicate with static…”
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  20. 20

    Optimum Water Quality Monitoring Network Design for Bidirectional River Systems by Zhu, Xiaohui, Yue, Yong, Wong, Prudence W H, Zhang, Yixin, Tan, Jianhong

    “…Affected by regular tides, bidirectional water flows play a crucial role in surface river systems. Using optimization theory to design a water quality…”
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