Now showing items 69-88 of 128

  • Investigation of computational intelligence techniques for intrusion detection in wireless sensor networks. 

    McDermott, Christopher D.; Petrovski, Andrei (AIRCC http://airccse.org/journal/ijc2017.html, 2017-07-31)
    MCDERMOTT, C.D. and PETROVSKI, A. 2017. Investigation of computational intelligence techniques for intrusion detection in wireless sensor networks. International journal of computer networks and communications [online], 9(4), pages 45-56. Available from: https://doi.org/10.5121/ijcnc.2017.9404
    Wireless Sensor Networks (WSNs) have become a key technology for the IoT and despite the obvious benefits, challenges still exist regarding security. As more devices are connected to the internet, new cyber attacks are ...
  • IT controls in the public cloud: Success factors for allocation of roles and responsibilities. 

    Khan, Shafaq; Nicho, Mathew; Takruri, Haifa (Taylor and Francis https://doi.org/10.1080/15228053.2016.1237218, 2016-10-18)
    KHAN, S., NICHO, M. and TAKRURI, H. 2016. IT controls in the public cloud: Success factors for allocation of roles and responsibilities. Journal of information technology case and application research [online], 18(3), pages 155-180. Available from: https://doi.org/10.1080/15228053.2016.1237218
    The rapid adoption of cloud computing by organizations has resulted in the transformation of the roles and responsibilities of staff in managing the information technology (IT) resources (via IT governance controls) that ...
  • IT governance measurement tools and its application in IT-business alignment. 

    Nicho, Mathew; Khan, Shafaq (CSUSB ScholarWorks http://scholarworks.lib.csusb.edu/jitim/vol26/iss1/5, 2017-09-22)
    NICHO, M. and KHAN, S. 2017. IT governance measurement tools and its application in IT-business alignment. Journal of international technology and information management [online], 26(1), Article 5. Available from: http://scholarworks.lib.csusb.edu/jitim/vol26/iss1/5
    The purpose of this exploratory research paper is to evaluate the deployment and assessment methodology of the information technology governance (ITG) measurement tools, with the purpose of gaining deeper insight into the ...
  • Knowledge discovery for adaptive negotiation agents in e-marketplaces. 

    Lau, Raymond Y. K.; Li, Yuefeng; Song, Dawei; Kwok, Ron Chi Wai (Elsevier http://dx.doi.org/10.1016/j.dss.2007.12.018, 2008-05)
    LAU, R. Y. K., LI, Y., SONG, D. and KWOK, R. C. W., 2008. Knowledge discovery for adaptive negotiation agents in e-marketplaces. Decision Support Systems, 45 (2), pp. 310-323.
    Intelligent software agents are promising in improving the effectiveness of e-marketplaces for e-commerce. Although a large amount of research has been conducted to develop negotiation protocols and mechanisms for ...
  • Knowledge modelling for a generic refinement framework 

    Boswell, Robin; Craw, Susan (Elsevier http://dx.doi.org/10.1016/S0950-7051(99)00018-0, 1999-10)
    BOSWELL, R. and CRAW, S., 1999. Knowledge modelling for a generic refinement framework. Knowledge Based Systems, 12 (5-6), pp. 317-325
    Refinement tools assist with debugging the knowledge-based system (KBS), thus easing the well-known knowledge acquisition bottleneck, and the more recently recognised maintenance overhead. The existing refinement tools ...
  • Learning adaptation knowledge to improve case-based reasoning 

    Craw, Susan; Wiratunga, Nirmalie; Rowe, Ray (Elsevier http://dx.doi.org/10.1016/j.artint.2006.09.001, 2006-11)
    CRAW, S., WIRATUNGA, N. and ROWE, R., 2006. Learning adaptation knowledge to improve case-based reasoning. Artificial Intelligence, 170 (16-17), pp. 1175-1192.
    Case-Based Reasoning systems retrieve and reuse solutions for previously solved problems that have been encountered and remembered as cases. In some domains, particularly where the problem solving is a classification task, ...
  • Learning pseudo-tags to augment sparse tagging in hybrid music recommender systems. 

    Horsburgh, Ben; Craw, Susan; Massie, Stewart (Elsevier http://dx.doi.org/10.1016/j.artint.2014.11.004, 2015-02)
    HORSBURGH, B., CRAW, S. and MASSIE, S., 2015. Learning pseudo-tags to augment sparse tagging in hybrid music recommender systems. Artificial Intelligence, 219, pp. 25-39.
    Online recommender systems are an important tool that people use to find new music. To generate recommendations, many systems rely on tag representations of music. Such systems however suffer from tag sparsity, whereby tracks ...
  • Learning to improve software processes: making sense of practice. 

    Allison, Ian K.; Merali, Yasmin (International Information Management Association (IIMA) http://69.16.240.49/CIIMA/5%20CIIMA%206-1%2017-28%20Allison.pdf, 2006)
    ALLISON, I. and MERALI, Y., 2006. Learning to improve software processes. Communications of the IIMA, 6 (1), pp. 17-28.
    Software Process Improvement (SPI) programs are frequently considered to be planned in nature. However, there is recent evidence to suggest that SPI can be understood as a form of learning. Drawing on the organizational ...
  • Lexicon based feature extraction for emotion text classification. 

    Bandhakavi, Anil; Wiratunga, Nirmalie; Padmanabhan, Deepak; Massie, Stewart (Elsevier https://doi.org/10.1016/j.patrec.2016.12.009, 2016-12-15)
    BANDHAKAVI, A., WIRATUNGA, N., DEEPAK, P. and MASSIE, S. 2017. Lexicon based feature extraction for emotion text classification. Pattern recognition letters [online], 93, pages 133-143. Available from: https://doi.org/10.1016/j.patrec.2016.12.009
    General Purpose Emotion Lexicons (GPELs) that associate words with emotion categories remain a valuable resource for emotion analysis of text. However the static and formal nature of their vocabularies make them inadequate ...
  • Lexicon generation for emotion detection from text. 

    Bandhakavi, Anil; Wiratunga, Nirmalie; Massie, Stewart; Padmanabhan, Deepak (IEEE https://doi.org/10.1109/MIS.2017.22, 2017-02-13)
    BANDHAKAVI, A., WIRATUNGA, N., MASSIE, S. and PADMANABHAN, D. 2017. Lexicon generation for emotion detection from text. IEEE intelligent systems [online], 32(1), pages 102-108. Available from: https://doi.org/10.1109/MIS.2017.22.
    General-purpose emotion lexicons (GPELs) that associate words with emotion categories remain a valuable resource for emotion detection. However, the static and formal nature of their vocabularies make them an inadequate ...
  • A lossless online Bayesian classifier. 

    Nguyen, Thi Thu Thuy; Nguyen, Tien Thanh; Sharma, Rabi; Liew, Alan Wee-Chung (Elsevier https://doi.org/10.1016/j.ins.2019.03.031, 2019-03-16)
    NGUYEN, T.T.T., NGUYEN, T.T., SHARMA, R. and LIEW, A. W.-C. 2019. A lossless online Bayesian classifier. Information sciences [online], 489, pages 1-17. Available from: https://doi.org/10.1016/j.ins.2019.03.031
    We are living in a world progressively driven by data. Besides the issue that big data cannot be entirely stored in the main memory as required by traditional offline learning methods, the problem of learning data that can ...
  • A low-complexity and efficient encoder rate control solution for distributed residual video coding. 

    Hu, Chunyun; Hu, Binjie; Tu, Wanqing; Xiong, Yunhui (Springer https://doi.org/10.1007/s11042-017-4484-5, 2017-03-08)
    HU, C., HU, B., TU, W. and XIONG, Y. 2018. A low-complexity and efficient encoder rate control solution for distributed residual video coding. Multimedia tools and applications [online], 77(5), pages 5713-5735. Available from: https://doi.org/10.1007/s11042-017-4484-5
    Existing encoder rate control (ERC) solutions have two technical limitations that prevent them from being widely used in real-world applications. One is that encoder side infor- mation (ESI) is required to be generated ...
  • Machine learning for improved pathological staging of prostate cancer: a performance comparison on a range of classifiers. 

    Regnier-Coudert, Olivier; McCall, John; Lothian, Robert; Lam, Thomas; McClinton, Sam; N'Dow, James (Elsevier https://doi.org/10.1016/j.artmed.2011.11.003, 2011-12-27)
    REGNIER-COUDERT, O., MCCALL, J., LOTHIAN, R., LAM, T., MCCLINTON, S. and N'DOW, J. 2012. Machine learning for improved pathological staging of prostate cancer: a performance comparison on a range of classifiers. Artificial intelligence in medicine [online], 55(1), pages 25-35. Available from: https://doi.org/10.1016/j.artmed.2011.11.003
    Objectives: Prediction of prostate cancer pathological stage is an essential step in a patient's pathway. It determines the treatment that will be applied further. In current practice, urologists use the pathological stage ...
  • Maintaining retrieval knowledge in a case-based reasoning system. 

    Craw, Susan; Jarmulak, Jacek; Rowe, Ray (Blackwell http://www.blackwellpublishing.com/journal.asp?ref=0824-7935&site=1, 2001-05)
    CRAW, S., JARMULAK, J. and ROWE, R., 2001. Maintaining retrieval knowledge in a case-based reasoning system. Computational Intelligence, 17 (2), pp. 346-363.
    The knowledge stored in a case-base is central to the problem-solving of a Case-Based Reasoning (CBR) system. Therefore, case-base main- tenance is a key component of maintaining a CBR system. However, other knowledge ...
  • Medical students opinions on the inclusion of non-traditional skills in the curriculum. 

    Brady, Chevonne; Zarb, Mark (Allied Business Academies https://www.abacademies.org/articles/medical-students-opinions-on-the-inclusion-of-nontraditional-skills-in-the-curriculum-7099.html, 2018-04-04)
    BRADY, C. and ZARB, M. 2018. Medical students opinions on the inclusion of non-traditional skills in the curriculum. Journal of entrepreneurship education [online], 21(2), article ID 152. Available from: https://www.abacademies.org/articles/medical-students-opinions-on-the-inclusion-of-nontraditional-skills-in-the-curriculum-7099.html
    Background: Up to 50% of foundation year 2 doctors do not proceed directly into speciality training. This change in direction of our profession places increasing demands on an already stretched NHS. In the UK, medical ...
  • Meeple centred design: a heuristic toolkit for evaluating the accessibility of tabletop games. 

    Heron, Michael James; Belford, Pauline Helen; Reid, Hayley; Crabb, Michael (Springer https://doi.org/10.1007/s40869-018-0057-8, 2018-04-27)
    HERON, M., BELFORD, P.H., REID, H. and CRABB, M. 2018. Meeple centred design: a heuristic toolkit for evaluating the accessibility of tabletop games. The computer games journal [online], 7(2), pages 97-114. Available from: https://doi.org/10.1007/s40869-018-0057-8
    Evaluation of accessibility within a tabletop context is much more complicated than it is within a video game environment. There is a considerable amount of variation in game systems, game mechanisms, and interaction ...
  • Migrating software products to the cloud: an adaptive STS perspective. 

    Werfs, Marc; Baxter, Gordon; Allison, Ian K.; Sommerville, Ian (IIAM (International Information Management Association) http://www.iima.org/index.php?option=com_phocadownload&view=category&download=507:223werfs&id=83:jitim223&Itemid=77, 2013)
    WERFS, M., BAXTER, G., ALLISON, I. K. and SOMMERVILLE, I., 2013. Migrating software products to the cloud: an adaptive STS perspective. Journal of International Technology and Information Management, 22 (3), pp. 37-54.
    Cloud computing, as a disruptive innovation, has the potential to adversely affect companies. The effects can be particularly extreme for small and medium sized enterprises (SMEs). Subsequently, considerations of organisational ...
  • A model for optimising the deployment of cloud-hosted application components for guaranteeing multitenancy isolation. 

    Ochei, Laud Charles; Ejiofor, Christopher Ifeanyichukwu (ASTES Journal https://doi.org/10.25046/aj030220, 2018-03-27)
    OCHEI, L.C. and EJIOFOR, C.I. 2018. A model for optimising the deployment of cloud-hosted application components for guaranteeing multitenancy isolation. Advances in science, technology and engineering systems journal [online], 3(2), pages 174-183. Available from: https://doi.org/10.25046/aj030220
    Tenants associated with a cloud-hosted application seek to reduce running costs and minimize resource consumption by sharing components and resources. However, despite the benefits, sharing resources can affect tenant’s ...
  • Multi-label classification via label correlation and first order feature dependence features in a data stream. 

    Nguyen, Tien Thanh; Nguyen, Thi Thu Thuy; Luong, Anh Vu; Nguyen, Quoc Viet Hung; Liew, Alan Wee-Chung; Stantic, Bela (Elsevier https://doi.org/10.1016/j.patcog.2019.01.007, 2019-01-06)
    NGUYEN, T.T., NGUYEN, T.T.T., LUONG, A.V., NGUYEN, Q.V.H., LIEW, A.W.-C. and STANTIC, B. 2019. Multi-label classification via label correlation and first order feature dependance in a data stream. Pattern recognition [online], 90, pages 35-51. Available from: https://doi.org/10.1016/j.patcog.2019.01.007
    Many batch learning algorithms have been introduced for offline multi-label classification (MLC) over the years. However, the increasing data volume in many applications such as social networks, sensor networks, and traffic ...
  • Multi-source video multicast in internet-connected wireless mesh networks. 

    Tu, Wanqing; Sreenan, Cormac; Jha, Sanjay; Zhang, Qian (IEEE https://doi.org/10.1109/TMC.2017.2691706, 2017-04-06)
    TU, W., SREENAN, C.J., JHA, S. and ZHANG, Q. 2017. Multi-source video multicast in internet-connected wireless mesh networks. IEEE transactions on mobile computing [online], 16(12), pages 3431-3444. Available from: https://doi.org/10.1109/TMC.2017.2691706
    Wireless mesh networks (WMNs) connect to the Internet via access gateways. This paper studies multi-sourcevideo multicast in Internet-connected WMNs. The focus is onthe design of a shareable integrated multicast that allows ...