Now showing items 1-20 of 1121

  • Performance analysis of GA and PBIL variants for real-world location-allocation problems. 

    Ankrah, Reginald; Regnier-Coudert, Olivier; McCall, John; Conway, Anthony; Hardwick, Andrew (IEEE http://www.ecomp.poli.br/~wcci2018/, 2018-07-08)
    ANKRAH, R., REGNIER-COUDERT, O., MCCALL, J., CONWAY, A. and HARDWICK, A. 2018. Performance analysis of GA and PBIL variants for real-world location-allocation problems. To be presented at the IEEE world congress on computational intelligence; IEEE congress on evolutionary computation (IEEE CEC 2018), 8-13 July 2018, Rio de Janeiro, Brazil.
    The Uncapacitated Location-Allocation problem (ULAP) is a major optimisation problem concerning the determination of the optimal location of facilities and the allocation of demand to them. In this paper, we present two ...
  • 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 ...
  • Case based reasoning as a model for cognitive artificial intelligence. 

    Craw, Susan; Aamodt, Agnar
    CRAW, S. and AAMODT, A. [2018]. Case based reasoning as a model for cognitive artificial intelligence. In Lecture notes in computer science: Proceedings of the 26th International conference on case-based reasoning (ICCBR-18), 9-12 July 2018, Stockholm, Sweden. Cham: Springer, (accepted).
    Cognitive Systems understand the world through learning and experience. Case Based Reasoning (CBR) systems naturally capture knowledge as experiences in memory and they are able to learn new experiences to retain in their ...
  • Maintenance of case bases: current algorithms after fifty years. 

    Juarez, Jose M.; Craw, Susan; Lopez-Delgado, J. Ricardo; Campos, Manuel (IJCAI http://www.ijcai.org, 2018-07-13)
    JUAREZ, J.M., CRAW, S., LOPEZ-DELGADO, J.R. and CAMPOS, M. [2018]. Maintenance of case bases: current algorithms after fifty years. In the Proceedings of the 27th International joint conference on artificial intelligence and 23rd European conference on artificial intelligence (IJCAI-ECAI-18), 13-19 July 2018, Stockholm, Sweden. Freiburg: IJCAI [online], (accepted).
    Case-Based Reasoning (CBR) learns new knowledge from data and so can cope with changing environments. CBR is very different from modelbased systems since it can learn incrementally as new data is available, storing new ...
  • Non-traditional skills in undergraduate medical education: the development of a teaching programme. 

    Brady, Chevonne; Zarb, Mark (Sage https://doi.org/10.1177/0036933018776837, 2018-05-27)
    BRADY, C. and ZARB, M. 2018. Non-traditional skills in undergraduate medical education: the development of a teaching programme. Scottish medical journal [online], OnlineFirst. Available from: https://doi.org/10.1177/0036933018776837
    As a junior doctor in what is an increasingly struggling healthcare system, I am concerned to see that many of my junior and senior colleagues have opted not to continue onto the next stage of training. Whilst entrepreneurship, ...
  • New trends on digitisation of complex engineering drawings. 

    Moreno Garcia, Carlos Francisco; Elyan, Eyad; Jayne, Chrisina
    MORENO-GARCIA, C.F., ELYAN, E. and JAYNE, C. 2018. New trends on digitisation of complex engineering drawings. Neural computing and applications [online], (accepted). Available from: https://doi.org/10.1007/s00521-018-3583-1
    Engineering drawings are commonly used across different industries such as oil and gas, mechanical engineering and others. Digitising these drawings is becoming increasingly important. This is mainly due to the legacy of ...
  • Personalised human activity recognition using matching networks. 

    Sani, Sadiq; Wiratunga, Nirmalie; Massie, Stewart; Cooper, Kay (Springer, 2018-07-09)
    SANI, S., WIRATUNGA, N., MASSIE, S. and COOPER, K. [2018]. Personalised human activity recognition using matching networks. Lecture notes in computer science [online], Proceedings of the 26th international conference on case-based reasoning 2018 (ICCBR 2018), 9-12 July 2018, Stockholm, Sweden. Cham: Springer [online], (accepted).
    Human Activity Recognition (HAR) is typically modelled as a classification task where sensor data associated with activity labels are used to train a classifier to recognise future occurrences of these activities. An ...
  • Improving kNN for human activity recognition with privileged learning using translation models. 

    Wijekoon, Anjana; Wiratunga, Nirmalie; Sani, Sadiq; Massie, Stewart; Cooper, Kay (Springer, 2018-07-09)
    WIJEKOON, A., WIRATUNGA, N., SANI, S., MASSIE, S. and COOPER, K. [2018]. Improving kNN for human activity recognition with privileged learning using translation models. Lecture notes in computer science [online], Proceedings of the 26th international conference on case-based reasoning 2018 (ICCBR 2018), 9-12 July 2018, Stockholm, Sweden. Cham: Springer [online], (accepted).
    Multiple sensor modalities provide more accurate Human Activity Recognition (HAR) compared to using a single modality, yet the latter is preferred by consumers as it is more convenient and less intrusive. This presents a ...
  • Neural induction of a lexicon for fast and interpretable stance classification. 

    Clos, Jérémie; Wiratunga, Nirmalie (Springer https://doi.org/10.1007/978-3-319-59888-8_16, 2017-05-27)
    CLOS, J. and WIRATUNGA, N. 2017. Neural induction of a lexicon for fast and interpretable stance classification. Lecture notes in computer science, 10318, Proceedings of the 1st international conference on language, data and knowledge (LDK 2017), 19-20 June 2017, Galway, Ireland. Cham: Springer [online], pages 181-193. Available from: https://dx.doi.org/10.1007/978-3-319-59888-8_16
    Large-scale social media classification faces the following two challenges: algorithms can be hard to adapt to Web-scale data, and the predictions that they provide are difficult for humans to understand. Those two challenges ...
  • Évaluations du confort lumineux et thermique dans un espace de bureau ‘transparent’ à simple et double vitrage sous un ciel clair ensoleillé. = [Evaluation of the luminous and thermal comfort in a 'transparent' office space with single and double-glazing under a sunny clear sky] 

    Mezerdi, Toufik; Belakehal, Azeddine; Bennadji, Amar (Faculty of Sciences and Technology, University of Biskra http://revues.univ-biskra.dz/index.php/jaest/article/view/3862, 2018-05-17)
    MEZERDI, T., BELAKEHAL, A. and BENNADJI, A. 2017. Évaluations du confort lumineux et thermique dans un espace de bureau ‘transparent’ à simple et double vitrage sous un ciel clair ensoleillé. Journal of applied engineering science and technology [online], 3(2), pages 97-103. Available from: http://revues.univ-biskra.dz/index.php/jaest/article/view/3862
    The main objective of this study is to evaluate the light and thermal comfort in a 'transparent' office. This last term designates a working space whose outer wall is entirely glazed by a simple transparent glazing in a ...
  • Analysis of acoustic emission propagation in metal-to-metal adhesively-bonded joints. 

    Crawford, Alasdair; Droubi, M. Ghazi; Faisal, Nadimul Haque (Springer https://doi.org/10.1007/s10921-018-0488-y, 2018-05-04)
    CRAWFORD, A., DROUBI, M.G. and FAISAL, N.H. 2018. Analysis of acoustic emission propagation in metal-to-metal adhesively-bonded joints. Journal of nondestructive evaluation [online], 37(2), article ID 33. Available from: https://doi.org/10.1007/s10921-018-0488-y
    Acoustic emission (AE) monitoring shows promise as one of the most effective methods for condition monitoring of adhesively-bonded joints. Previous research has demonstrated its ability to detect, locate and classify ...
  • W3C accessibility guidelines for mobile games. 

    Wilson, Amy; Crabb, Michael (Springer https://doi.org/10.1007/s40869-018-0058-7, 2018-05-02)
    WILSON, A. and CRABB, M. 2018. W3C accessibility guidelines for mobile games. The computer games journal [online], 7(2), pages 49-61. Available from: https://doi.org/10.1007/s40869-018-0058-7
    In the past decade, video games have become one of the fastest growing forms or entertainment around the world. In particular, mobile gaming has continued to evolve, becoming increasingly popular for billions of people ...
  • Generic application of deep learning framework for real-time engineering data analysis. 

    Majdani, Farzan; Petrovski, Andrei; Petrovski, Sergei (IEEE, 2018-07-08)
    MAJDANI, F., PETROVSKI, A. and PETROVSKI, S. 2018. Generic application of deep learning framework for real-time engineering data analysis. Presented at the International joint conference on neural networks 2018 (IJCNN 2018), 8-13 July 2018, Rio de Janeiro, Brazil.
    The need for computer-assisted real-time anomaly detection in engineering data used for condition monitoring is apparent in various applications, including the oil and gas, automotive industries and many other engineering ...
  • Positive geographies: contemporary art from Aberdeen. [Exhibition] 

    Blackwood, Jon (TP Sandinista http://www.lookagainfestival.co.uk/, 2018-06-08)
    Blackwood, Jon (ed.) 2018. Positive geographies: contemporary art from Aberdeen. Exhibition. 8-18 June 2018, Look Again Visual Art and Design Festival, Aberdeen.
    An exhibition of contemporary art by Jessica Barrie, Paula Buškevica, Donald Butler, Mary Gordon, Alexandra McGregor and Svetlana Panova, curated by Jon Blackwood.
  • Towards situational awareness of botnet activity in the internet of things. 

    McDermott, Christopher D.; Petrovski, Andrei; Majdani, Farzan (IEEE, 2018-06-11)
    MCDERMOTT, C.D., PETROVSKI, A.V. and MAJDANI, F. 2018. Towards situational awareness of botnet activity in the internet of things. Presented at the Cyber situation awareness conference 2018 (Cyber SA 2018): cyber situation awareness as a tool for analysis and insight, 11-12 June 2018, Glasgow, UK.
    An IoT botnet detection model is designed to detect anomalous attack traffic utilised by the mirai botnet malware. The model uses a novel application of Deep Bidirectional Long Short Term Memory based Recurrent Neural ...
  • Fuzzy data analysis methodology for the assessment of value of information in the oil and gas industry. 

    Vilela, Martin; Oluyemi, Gbenga Folorunso; Petrovski, Andrei (IEEE, 2018-07-08)
    VILELA, M., OLUYEMI, G. and PETROVSKI, A. 2018. Fuzzy data analysis methodology for the assessment of value of information in the oil and gas industry. Presented at the IEEE International fuzzy systems conference 2018 (FUZZ-IEEE 2018), 8-13 July 2018, Rio de Janeiro, Brazil.
    To manage uncertainty in reservoir development projects, the Value of Information is one of the main factors on which the decision is based to determine whether it is necessary to acquire additional data. However, subsurface ...
  • Conquest of photography: a tale of abstraction versus the richness of images. 

    Hamlyn, Jim (Robert Gordon University, 2017-10-27)
    HAMLYN, J. 2017. Conquest of photography: a tale of abstraction versus the richness of images. Presented at the 2nd Contemporary photography symposium, 27 October 2017, Regensburgh, Germany.
    The aim of this presentation is to bring into relief the degree to which our language-centric view of the world obscures our understanding of photography and depiction more generally. Or, as Wittgenstein put it: 'Philosophy ...
  • The grammar of images. 

    Hamlyn, Jim (Common Ground Research Networks, 2017-10-31)
    HAMLYN, J. 2017. The grammar of images. Presented at the 8th International conference on the image, 31 Oct - 1 Nov 2017, Venice, Italy.
    Artists sometimes talk of the 'grammar' of drawing or the 'language' of painting or photography. What they usually mean are the rudiments of drawing or the fundamental principles of painting or photography. In ordinary ...
  • Botnet detection in the internet of things using deep learning approaches. 

    McDermott, Christopher D.; Majdani, Farzan; Petrovski, Andrei (IEEE, 2018-07-08)
    MCDERMOTT, C.D., MAJDANI, F. and PETROVSKI, A.V. 2018. Botnet detection in the internet of things using deep learning approaches. Presented at the International joint conference on neural networks 2018 (IJCNN 2018), 8-13 July 2018, Rio de Janeiro, Brazil.
    The recent growth of the Internet of Things (IoT) has resulted in a rise in IoT based DDoS attacks. This paper presents a solution to the detection of botnet activity within consumer IoT devices and networks. A novel ...
  • Effect of electron beam irradiation on structural and optical properties of Cu-doped In2O3 films prepared by RF magnetron sputtering. 

    Krishnan, R. Reshmi; Sanjeev, Ganesh; Prabhu, Radhakrishna; Pillai, V. P. Mahadevan (Springer https://doi.org/10.1007/s11837-018-2776-5, 2018-02-28)
    KRISHNAN, R.R., SANJEEV, G., PRABHU, R. and PILLAI, V.P.M. 2018. Effect of electron beam irradiation on structural and optical properties of Cu-doped In2O3 films prepared by RF magnetron sputtering. JOM: journal of the Minerals, Metals and Materials Society [online], 70(5), pages 739-746. Available from: https://doi.org/10.1007/s11837-018-2776-5
    Undoped and Cu-doped In2O3 films were prepared by radiofrequency magnetron sputtering technique. The effects of Cu doping and high-energy electron beam irradiation on the structural and optical properties of as-prepared ...