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  • Yeh Wei-Chang; Su Jack; Hsieh Tsung-Jung; Chih Mingchang; Liu Sin-Long (IEEE-Inst Electrical Electronics Engineers Inc, 2011)
    This work combines a Bee Recurrent Neural Network (BRNN) optimized by the Artificial Bee Colony (ABC) algorithm with Monte Carlo Simulation (MCS) to generate a novel approximate model for predicting network reliability. ...
  • Yeh Wei-Chang; Hsieh Tsung-Jung; Chih Mingchang; Liu Sin-Long; Ping Su (IEEE Reliability Society, 2011)
    This work combines a Bee Recurrent Neural Network (BRNN) optimized by the Artificial Bee Colony (ABC) algorithm with Monte Carlo Simulation (MCS) to generate a novel approximate model for predicting network reliability. ...
  • Veros, Vassiliki (Australian Library & Information Assoc Ltd, 2012)
    Romance fiction, romance authors and readers have been routinely marginalised, in spite of their significant role in contemporary popular culture. Sales figures for the book trade indicate that romance fiction is the most ...
  • Ariffin, Shamsul (Australian and New Zealand Mobile Learning Group, 2012)
    This paper presents the researcher?s reflections on the study of local culture and makes recommendations for creating awareness in the light of qualitative research conducted in Malaysia. The recommendations address ...
  • Leong, Tuck Wah; Vetere, Frank; Howard, Steve (ACM Press, 2012)
  • Zhao, Sheng-Mei; Xiao, Yu; Zhu, Xiu-Li; Hsieh, Min-Hsiu (World Scientific, 2012)
    We introduce joint difference sets as a generalization of cyclic difference sets, and we construct a new class of quantum error-correcting codes (QECCs) from these joint difference sets. The main benefits of our method are ...
  • Sun, Zhiwei; Du, Rg; Long, Dong-Yang (World Scientific Publ Co Pte Ltd, 2013)
    Recently, quantum key distribution (QKD) with classical Bob has been suggested and proven completely robust by Boyer et al. [Phys. Rev. Lett.99 (2007) 140501] in which quantum Alice has a fully-fledged quantum power, while ...
  • Ebrahimpour, Maryam; Berryman, Matthew; Allison, Andrew; Ng, Brian; Abbott, Derek; Putnins, Talis (Public library of Science, 2013)
    In this paper, we develop two automated authorship attribution schemes, one based on Multiple Discriminant Analysis (MDA) and the other based on a Support Vector Machine (SVM). The classification features we exploit are ...
  • Wang, Mingzhong; Zhang, Xuyun; Zhu, L; Liao, Lz (Wiley-Blackwell, 2013)
    Workflow scheduling has been extensively studied to improve the system performance. However, existing approaches are usually built on predefined workflow graph structure, neglecting the possibility that a workflow graph ...
  • Anaissi, Ali Hassan; Kennedy, Paul; Goyal, Madhu; Catchpoole, Daniel (Biomed Central Ltd, 2013)
    Background: The wealth of gene expression values being generated by high throughput microarray technologies leads to complex high dimensional datasets. Moreover, many cohorts have the problem of imbalanced classes where ...
  • Gong, Chen; Fu, Kr; Tu, Em; Yang, Jie; He, Sean (IS&T & SPIE, 2013)
    Object tracking is widely used in many applications such as intelligent surveillance, scene understanding, and behavior analysis. Graph-based semisupervised learning has been introduced to deal with specific tracking ...
  • Shen, Hualei; Tao, Dacheng; Ma, Dianfu (Public library of Science, 2013)
    With great potential for assisting radiological image interpretation and decision making, content-based image retrieval in the medical domain has become a hot topic in recent years. Many methods to enhance the performance ...
  • Amrollahi, Alireza; Ghapanchi, Amir Hossein; Talaei-Khoei, Amir (AISNET, 2013)
    Strategic information system planning (SISP) has been an important concern for top business and information systems (IS) managers. This paper employs a systematic literature review approach for 12 top ranking IS journals ...
  • Guan, Naiyang; Wei, Lei; Luo, Zhigang; Tao, Dacheng (Public Library Science, 2013)
    Graph regularized nonnegative matrix factorization (GNMF) decomposes a nonnegative data matrix X is an element of R-mxn to the product of two lower-rank nonnegative factor matrices, i.e., W is an element of R-mxr and H is ...
  • Yang, Jie; Wu, Qiang; Du, Ruo; He, Xiangjian (Elsevier BV, 2013)
    Multiple-instance learning (MIL) is a variation on supervised learning. Instead of receiving a set of labeled instances, the learner receives a set of bags that are labeled. Each bag contains many instances. The aim of MIL ...
  • Cen, Yonghua; Gan, Liren; Bai, Chen (University of Sheffield, 2013)
    Introduction. The study seeks to answer two questions: How do university students learn to use correct strategies to conduct scholarly information searches without instructions? and, What are the differences in learning ...
  • Van De Garde-Perik, Evelien; Offermans, Serge; Van Boerdonk, Koen; Lenssen, Kars-Michiel; Van Den Hoven, Elise (ACM, 2013)
    This article focuses on the conceptual relation between the user?s input and a system?s output in interaction with smart tangible objects. Understanding this input-output relation (IO relation) is a prerequisite for the ...
  • Aung, Yee Mon; Al-Jumaily, Adel Ali (Intech, 2013)
    In the development of robot-assisted rehabilitation systems for upper limb rehabilitation therapy, human electromyogram (EMG) is widely used due to its ability to detect the user intended motion. EMG is one kind of ...
  • Guan, Naiyang; Zhang, Xin Sheng; Luo, Zhigang; Tao, Dacheng; Yang, Xuejun (Public Library Science, 2013)
    Projective non-negative matrix factorization (PNMF) projects high-dimensional non-negative examples X onto a lower-dimensional subspace spanned by a non-negative basis W and considers W-T X as their coefficients, i.e., X ...