Now showing items 47-66 of 125

  • Exploring aspects of cell intelligence with artificial reaction networks. 

    Gerrard, Claire E.; McCall, John; Coghill, George M.; Macleod, Christopher (Springer. http://dx.doi.org/10.1007/s00500-013-1174-8, 2014-10)
    GERRARD, C. E., MCCALL, J., COGHILL, G. M. and MACLEOD, C., 2014. Exploring aspects of cell intelligence with artificial reaction networks. Soft Computing, 18 (10), pp. 1899-1912.
    The Artificial Reaction Network (ARN) is a Cell Signalling Network inspired connectionist representation belonging to the branch of A-Life known as Artificial Chemistry. Its purpose is to represent chemical circuitry ...
  • Facilitating DL-based hybrid reasoning with inference fusion. 

    Hu, Bo; Arana, Ines; Compatangelo, Ernesto (Elsevier http://dx.doi.org/10.1016/S0950-7051(03)00026-1, 2003-07)
    HU, B., ARANA, I. and COMPATANGELO, E., 2003. Facilitating DLbased hybrid reasoning with inference fusion. Knowledge Based Systems, 16 (5-6), pp. 42-48.
    We present an extension to DL-based taxonomic reasoning by means of inference fusion, i.e. the dynamic combination of inferences from distributed heterogeneous reasoners. Our approach integrates results from a DL-based ...
  • Fall prediction using behavioural modelling from sensor data in smart homes. 

    Forbes, Glenn; Massie, Stewart; Craw, Susan
    FORBES, G., MASSIE, S. and CRAW, S. [2019]. Fall prediction using behavioural modelling from sensor data in smart homes. Artificial intelligence review [online], (accepted). Available from: https://doi.org/10.1007/s10462-019-09687-7
    The number of methods for identifying potential fall risk is growing as the rate of elderly fallers continues to rise in the UK. Assessments for identifying risk of falling are usually performed in hospitals and other ...
  • A fine-grained random forests using class decomposition: an application to medical diagnosis. 

    Elyan, Eyad; Gaber, Mohamed Medhat (Springer http://dx.doi.org/10.1007/s00521-015-2064-z, 2015-09-22)
    ELYAN, E. and GABER, M.M. 2015. A fine-grained random forests using class decomposition: an application to medical diagnosis. Neural computing and applications [online], FirstOnline. Available from: http://dx.doi.org/10.1007/s00521-015-2064-z
    Class decomposition describes the process of segmenting each class into a number of homogeneous subclasses. This can be naturally achieved through clustering. Utilising class decomposition can provide a number of benefits ...
  • Flood risk management in sponge cities: the role of integrated simulation and 3D visualization. 

    Wang, Chen; Hou, Jingming; Miller, David; Brown, Iain; Jiang, Yang (Elsevier https://doi.org/10.1016/j.ijdrr.2019.101139, 2019-04-03)
    WANG, C., HOU, J., MILLER, D., BROWN, I. and JIANG, Y. 2019. Flood risk management in sponge cities: the role of integrated simulation and 3D visualization. International journal of disaster risk reduction [online], In Press. Available from: https://doi.org/10.1016/j.ijdrr.2019.101139
    The Sponge City concept has been promoted as a major programme of work to address increasing flood risk in urban areas, in combination with wider benefits for water resources and urban renewal. However, realization of the ...
  • A framework for achieving the required degree of multitenancy isolation for deploying components of a cloud-hosted service. 

    Ochei, Laud Charles; Petrovski, Andrei; Bass, Julian M. (Inderscience https://doi.org/10.1504/IJCC.2018.095399, 2018-09-20)
    OCHEI, L.C., PETROVSKI, A. and BASS, J.M. 2018. A framework for achieving the required degree of multitenancy isolation for deploying components of a cloud-hosted service. International journal of cloud computing [online], 7(3-4), pages 248-281. Available from: https://doi.org/10.1504/IJCC.2018.095399
    Multitenancy allows multiple tenants to access a single instance of a cloud offering. While several approaches exist for implementing multitenancy, little attention has been paid to implementing the required degree of ...
  • A framework for unsupervised change detection in activity recognition. 

    Bashir, Sulaimon A.; Petrovski, Andrei; Doolan, Daniel C. (Emerald https://doi.org/10.1108/IJPCC-03-2017-0027, 2017-06-05)
    BASHIR, S.A., PETROVSKI, A. and DOOLAN, D. 2017. A framework for unsupervised change detection in activity recognition. International journal of pervasive computing and communications [online], 13(2), pages 157-175. Available from: https://doi.org/10.1108/IJPCC-03-2017-0027
    Purpose - This purpose of this paper is to develop a change detection technique for activity recognition model. The approach aims to detect changes in the initial accuracy of the model after training and when the model is ...
  • A framework using institutional analysis and the capability approach in ICT4D. 

    Bass, Julian M.; Nicholson, Brian; Subhramanian, Eswaran (University of Southern California Annenberg School for Communication and Journalism. http://www.itidjournal.org/index.php/itid/article/view/1028, 2013)
    BASS, J. M., NICHOLSON, B. and SUBHRAMANIAN, E., 2013. A framework using institutional analysis and the capability approach in ICT4D. Information Technologies & International Development, 9 (1), pp. 19-35.
    nstitutional theory and the capability approach have grown inºuential in development research and practice. Both theories offer analytical tools for interpreting and guiding information and communication technology for ...
  • Fuzzy ethics: or how I learned to stop worrying and love the bot. 

    Heron, Michael James; Belford, Pauline Helen (ACM http://dx.doi.org/10.1145/2856428.2856429, 2015-12-11)
    HERON, M.J. and BELFORD, P. 2015. Fuzzy ethics: or how I learned to stop worrying and love the bot. ACM SIGCAS Computers and society [online], 45(4), pages 4-6. Available from: http://dx.doi.org/10.1145/2856428.2856429
    The recent death of a Volkswagen worker at the hand of a factory robot has resulted in a number of editorials and opinion pieces discussing moral responsibility and robots. In this short response piece we outline some of ...
  • A fuzzy inference system applied to value of information assessment for oil and gas industry. 

    Vilela, Martin; Oluyemi, Gbenga Folorunso; Petrovski, Andrei (Regional Association for Security and Crisis Management https://doi.org/10.31181/dmame1902001v, 2019-05-23)
    VILELA, M., OLUYEMI, G. and PETROVSKI, A. 2019. A fuzzy inference system applied to value of information assessment for oil and gas industry. Decision making: applications in management and engineering [online], Online First. Available from: https:// doi.org/10.31181/dmame1902001v
    Value of information is a widely accepted methodology for evaluating the need to acquire new data in the oil and gas industry. In the conventional approach to estimating the value of information, the outcomes of a project ...
  • A genetic algorithm approach to optimising random forests applied to class engineered data. 

    Elyan, Eyad; Gaber, Mohamed Medhat (Elsevier https://dx.doi.org/10.1016/j.ins.2016.08.007, 2016-08-04)
    ELYAN, E. and GABER, M.M. 2017. A genetic algorithm approach to optimising random forests applied to class engineered data. Information sciences [online], 384, pages 220-234. Available from: https://dx.doi.org/10.1016/j.ins.2016.08.007
    In numerous applications and especially in the life science domain, examples are labelled at a higher level of granularity. For example, binary classification is dominant in many of these datasets, with the positive class ...
  • How product owner teams scale agile methods to large distributed enterprises. 

    Bass, Julian M. (Springer http://dx.doi.org/ 10.1007/s10664-014-9322-z, 2014-07)
    BASS, J. M., 2014. How product owner teams scale agile methods to large distributed enterprises. Empirical Software Engineering. [online] Article 9322. Available from: http://dx.doi.org/ 10.1007/s10664-014-9322-z [Accessed 03/08/2015]
    Software development teams in large scale offshore enterprise development programmes are often under intense pressure to deliver high quality software within challenging time contraints. Project failures can attract adverse ...
  • Imitation learning: a suvey of learning methods. 

    Hussein, Ahmed; Gaber, Mohamed Medhat; Elyan, Eyad; Jayne, Chrisina (ACM https://doi.org/10.1145/3054912, 2017-04-11)
    HUSSEIN, A., GABER, M.M., ELYAN, E. and JAYNE, C. 2017 Imitation learning: a survey of learning methods. ACM computing surveys [online], 50(2), article 21. Available from: https://doi.org/10.1145/3054912
    Imitation learning techniques aim to mimic human behavior in a given task. An agent (a learning machine) is trained to perform a task from demonstrations by learning a mapping between observations and actions. The idea of ...
  • Improving e-learning recommendation by using background knowledge. 

    Mbipom, Blessing; Craw, Susan; Massie, Stewart (Wiley https://doi.org/10.1111/exsy.12265, 2018-01-26)
    MBIPOM, B., CRAW, S. and MASSIE, S. 2018. Improving e-learning recommendation by using background knowledge. Expert systems [online], Early View. Available from: https://doi.org/10.1111/exsy.12265
    There is currently a large amount of e-Learning resources available to learners on the Web. However, learners often have difficulty finding and retrieving relevant materials to support their learning goals because they ...
  • Integrating multiple windows and document features for expert finding. 

    Zhu, Jianhan; Song, Dawei; Ruger, Stefan (Wiley http://dx.doi.org/10.1002/asi.21012, 2009-04)
    ZHU, J, SONG, D. and RUGER, S., 2009. Integrating multiple windows and document features for expert finding. Journal of the American Society for Information Science and Technology, 60 (4), pp. 694-715.
    Expert finding is a key task in enterprise search and has recently attracted lots of attention from both research and industry communities. Given a search topic, a prominent existing approach is to apply some information ...
  • Integrating selection-based aspect sentiment and preference knowledge for social recommender systems. 

    Chen, Yoke Yie; Wiratunga, Nirmalie; Lothian, Robert
    CHEN, Y.Y., WIRATUNGA, N. and LOTHIAN, R. [2018]. Integrating selection-based aspect sentiment and preference knowledge for social recommender systems. Online information review [online], (accepted). Available from: https://doi.org/10.1108/OIR-02-2017-0066
    Purpose - Recommender system approaches such as collaborative and content-based filtering rely on user ratings and product descriptions to recommend products. More recently, recommender system research has focused on ...
  • An intelligent information agent for document title classification and filtering in document-intensive domains. 

    Song, Dawei; Lau, Raymond Y. K.; Bruza, Peter D.; Wong, Kam-Fai; Chen, Ding-Yi (Elsevier http://dx.doi.org/10.1016/j.dss.2007.04.001, 2007-11)
    SONG, D., LAU, R. Y. K., BRUZA, P. D., WONG, K. F. and CHEN, D. Y., 2007. An intelligent information agent for document title classification and filtering in document-intensive domains. Decision Support Systems, 44 (1), pp. 251-265.
    Effective decision making is based on accurate and timely information. However, human decision makers are often overwhelmed by the huge amount of electronic data these days. The main contribution of this paper is the ...
  • The Internet of things – the future or the end of mechatronics. 

    Bradley, David; Russell, David; Ferguson, Ian; Isaacs, John; MacLeod, Allan; White, Roger (Elsevier http://dx.doi.org/10.1016/j.mechatronics.2015.02.005, 2015-04)
    BRADLEY, D., RUSSELL, D., FERGUSON, I., ISAACS, J., MACLEOD, A. and WHITE, R., 2015. The Internet of things – the future or the end of mechatronics. Mechatronics, 27, pp. 57-74.
    The advent and increasing implementation of user configured and user oriented systems structured around the use of cloud configured information and the Internet of Things is presenting a new range and class of challenges ...
  • An introduction to interval-based constraint processing. 

    Renker, Gerrit; Ahriz, Hatem (Polish Academy of Sciences Committee of Automatic Control and Robotics, 2006)
    RENKER, G. and AHRIZ, H., 2006. An introduction to interval-based constraint processing. Archives of Control Sciences, 16 (2), pp. 161-190
    Constraint programming is often associated with solving problems over finite domains. Many applications in engineering, CAD and design, however, require solving problems over continuous (real-valued) domains. While simple ...
  • Introduction to special issue on reasoning in natural language information processing. 

    Song, Dawei; Nie, Jian-Yun (ACM http://doi.acm.org/10.1145/1236181.1236182, 2006-12)
    SONG, D. and NIE, J. Y., 2006. Introduction to special issue on reasoning in natural language information processing. ACM Transactions on Asian Language Information Processing, 5 (4), pp. 291-295.
    For any applications related to Natural Language Processing (NLP), reasoning has been recognized as a necessary underlying aspect. Most of the existing work in NLP deals with specific NLP problems in a highly heuristic ...