Showing 21 - 40 results of 292 for search 'streaming algorithms', query time: 0.08s Refine Results
  1. 21
  2. 22

    Discovery of interesting phrases from text streams by Pang, Jeffrey Jian Hao

    Published 2011
    “…IPAP proves that the analysis of interesting phrases from text stream such as blog can generate unexpectedly large amount of beneficial information.…”
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    Final Year Project (FYP)
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    Distributed systems for spatio-textual data streams by Chen, Zhida

    Published 2019
    “…Due to the prosperity of social networks and smart phones, huge amounts of data with both spatial and textual information, e.g., geo-tagged tweets, is generated continuously, which can be modelled as data streams. Such spatio-textual data stream contains valuable information for millions of users with various interests on different keywords and locations. …”
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    Thesis
  6. 26

    Hardware implementation of RC4A stream cipher by Al Noman, Abdullah, Mohd Sidek, Roslina, Ramli, Abdul Rahman

    Published 2009
    “…Implementation of cryptographic algorithms on hardware runs faster than on software and at the same time offering more intrinsic security. …”
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    Article
  7. 27

    Deep autonomous learning machine for IoT streaming analytics by Li, Jinquan

    Published 2020
    “…Consequently, traditional algorithms are inefficient to cope with the large volumes of data stream. …”
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    Final Year Project (FYP)
  8. 28

    An overview of media streams caching in peer-to-peer systems by Yasin, Waheed, Ibrahim, Hamidah, Udzir, Nur Izura, Abdul Hamid, Nor Asilah Wati

    Published 2014
    “…Media objects have some characteristics that have to be considered when a caching algorithm is going to be performed. In this paper, recent approaches that have been proposed for media streams caching in peer-to-peer systems are reviewed.…”
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    Article
  9. 29

    A buffer-based online clustering for evolving data stream by Islam, Md. Kamrul, Ahmed, Md. Manjur, Kamal Z., Zamli

    Published 2019
    “…Recently, a fully online clustering algorithm for evolving data stream called CEDAS was proposed. …”
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    Article
  10. 30

    Reliability and security investigations on video streaming over satellite links by Ma, Ting

    Published 2015
    “…The study of video streaming over satellite reliability issue is performed through video streaming experiments and simulations. …”
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    Thesis
  11. 31

    Parsimonious random vector functional link network for data streams by Pratama, Mahardhika, Angelov, Plamen P., Lughofer, Edwin, Er, Meng Joo

    Published 2018
    “…The advantage of pRVFLN is verified through numerous simulations with real-world data streams. It was benchmarked against recently published algorithms where it demonstrated comparable and even higher predictive accuracies while imposing the lowest complexities.…”
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    Journal Article
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    TwiNER : named entity recognition in targeted twitter stream by Li, Chenliang, Weng, Jianshu, He, Qi, Yao, Yuxia, Datta, Anwitaman, Sun, Aixin, Lee, Bu-Sung

    Published 2013
    “…In this paper, we present a novel 2-step unsupervised NER system for targeted Twitter stream, called TwiNER. In the first step, it leverages on the global context obtained from Wikipedia and Web N-Gram corpus to partition tweets into valid segments (phrases) using a dynamic programming algorithm. …”
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    Conference Paper
  14. 34

    Audio Streaming System Using Real-Time Transport Protocol Based on Java Media Framework by Asaad Aref, Ibrahim

    Published 2004
    “…The work presented in this thesis discusses the problems of real-time audio streaming and investigates solutions for improving the audio data transmitting over the network.To achieve audio media data transmitting over the network in an efficient manner (realtime), the following issues: Initial delay of playing time (downloading time); current streaming protocols which can not cope well with network congestion; compression algorithms efficiency; network bandwidth utilization (network infrastructure); and security concerns of content owners, need to be considered.In this thesis, the implementation method of a real-time audio streaming service system is discussed. …”
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    Thesis
  15. 35

    Logic FET based physical reservoir for accelerating event stream analysis by Lin, XiaoYu

    Published 2024
    “…After nearly 700 seconds of training, the accuracies reached 73.5% and 91.5% (92% for 6 seconds event stream) respectively, using only a 2-second event stream to classify 10 classes of gestures. …”
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    Thesis-Master by Coursework
  16. 36

    Framework for stream clustering of trajectories based on temporal micro clustering technique by Abdulrazzaq, Musaab Riyadh

    Published 2018
    “…However, it is a vital process for many applications such as traffic management, studying of animal behavior, and weather forecasting. Many existing algorithms for stream clustering of trajectory stream data exploit the time window technique which partition trajectory stream data into time-bins and cluster the segments in each timebin separately. …”
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    Thesis
  17. 37

    Evaluation of arima and ann stream analytics for air quality monitoring system by Nurmadiha, Osman

    Published 2021
    “…The data stored in the query table act as input to the analytics algorithm, which runs in R-server as well. In this thesis, two algorithms have been implemented and compared. …”
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    Thesis
  18. 38

    Autonomous deep learning for continual learning in complex data stream environment by Ashfahani, Andri

    Published 2021
    “…An incremental learning algorithm of DNNs for evolving data streams is proposed, namely Autonomous Deep Learning (ADL). …”
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    Thesis-Doctor of Philosophy
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    Data stream clustering by divide and conquer approach based on vector model by Khalilian, Madjid, Mustapha, Norwati, Sulaiman, Nasir

    Published 2016
    “…The continuous effort on data stream clustering method has one common goal which is to achieve an accurate clustering algorithm. …”
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    Article
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    Incremental learning for large-scale stream data and its application to cybersecurity by Ali, Siti Hajar Aminah

    Published 2015
    “…These results indi�cate that the proposed method can improve the RAN learning algorithm towards the large-scale stream data processing. …”
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    Thesis