• Critical infrastructure risk in NHS England: predicting the impact of building portfolio age 

  Mills, Grant ; Deka, Lipika ; Price, Andrew ; Rich-Mahadkar, Sameedha ; Pantzartzis, Efthimia ; Sellars, Peter (Article)

  NHS Trusts in England must adopt appropriate levels of continued investment in routine and backlog maintenance if they are to ensure critical backlog does not accumulate. This paper presents the current state of critical ...
• Mechanism Design for Scheduling with Uncertain Execution Time. 

  Conitzer, V. ; Vidali, A. (Conference)

  We study the problem where a task (or multiple unrelated tasks) must be executed, there are multiple machines/agents that can potentially perform the task, and our objective is to minimize the expected sum of the agents' ...
• A Characterization of n-Player Strongly Monotone Scheduling Mechanisms 

  Annamaria Kovacs ; Angelina Vidali (Conference)

  Our work deals with the important problem of globally characterizing truthful mechanisms where players have multi-parameter, additive valuations, like scheduling unrelated machines or additive combinatorial auctions. ...
• Implicating mobile phones in violence against women: What’s gender got to do with it? 

  Wakunuma, Kutoma (Article)

  This paper gives an analysis of women and men’s differential access and use of the mobile phone and how through it gender stereotypes are reinforced. During a four year study in Zambia, it emerged that although there were ...
• Paper substrate classification based on 3D surface micro-geometry 

  Malekmohamadi, Hossein ; Emrith, Khemraj ; Pollard, Stephen ; Adams, Guy ; Smith, Melvyn ; Simske, Steve (Conference)

  This paper presents an approach to derive a novel 3D signature based on the micro-geometry of paper surfaces so as to uniquely characterise and classify different paper substrates. This procedure is extremely important to ...
• A new reduced reference metric for color plus depth 3D video 

  Malekmohamadi, Hossein ; Fernando, Anil ; Kondoz, A. (Article)

  A new reduced reference (RR) objective quality metric for 3D video is proposed that incorporates spatial neighboring information. The contrast measures from gray level co-occurrence matrices (GLCM) for both color and depth ...
• Paper type classification based on a new 3D surface texture measure 

  Malekmohamadi, Hossein ; Emrith, Khemraj ; Pollard, Stephen ; Adams, Guy ; Smith, Melvyn ; Simske, Steven (Article)

  A novel three-dimensional (3D) surface texture measure (3DSTM) is presented based on the micro-geometry of paper surfaces to classify different paper substrates. This is useful to automatically determine whether a document ...
• With a little help from the miners: Distributed Ledger Technology and Market Disintermediation 

  Zamani, Efpraxia D. ; Giaglis, G. M. (Article)

  Purpose: The purpose of this paper is to argue for the role of the blockchain, i.e., distributed ledger technology, in building innovative business models, including machine money, autonomous economic agents and decentralised ...
• Subjective quality estimation based on neural networks for stereoscopic videos 

  Malekmohamadi, Hossein ; Fernando, W. ; Danish, E. ; Kondoz, A. (Conference)

  A neural network based technique is proposed to estimate subjective quality of stereoscopic videos. Moreover, to utilize this model for applications where availability of reference signal is not possible to receiver, it ...
• Consensus in Group Decision Making and Social Networks 

  Herrera-Viedma, Enrique ; Cabrerizo, Francisco Javier ; Chiclana, Francisco ; Wu, Jian ; Cobo, Manuel Jesus ; Konstantin, Samuylov (Article)

  The consensus reaching process is the most important step in a group decision making scenario. This step is most frequently identified as a process consisting of some discussion rounds in which several decision makers, ...
• A prediction strategy based on center points and knee points for evolutionary dynamic multi-objective optimization 

  Zou, Juan ; Li, Qingya ; Yang, Shengxiang ; Bai, Hui ; Zheng, Jinhua (Article)

  In real life, there are many dynamic multi-objective optimization problems which vary over time, requiring an optimization algorithm to track the movement of the Pareto front (Pareto set) with time. In this paper, we propose ...
• Considering flexibility in the evolutionary dynamic optimisation of airport security lane schedules 

  Chitty, Darren M. ; Yang, Shengxiang ; Gongora, Mario Augusto (Conference)

  Airports face pressures to reduce costs at the security lane area by reducing lane opening hours whilst maintaining a passenger service level. Evolutionary methods have been shown to design schedules that minimise both ...
• The Industrial Control System Cyber Defence Triage Process 

  Cook, Allan ; Janicke, Helge ; Smith, Richard ; Maglaras, Leandros (Article)

  The threat to Industrial Control Systems (ICS) from cyber attacks is widely acknowledged by governments and literature. Operators of ICS are looking to address these threats in an effective and cost-sensitive manner that ...
• Neighbouring Link Travel Time Inference Method Using Artificial Neural Network 

  Luong H. Vu ; Passow, Benjamin N. ; Paluszczyszyn, D. ; Deka, L. ; Goodyer, E. (Conference)

  This paper presents a method for modelling relationship between road segments using feed forward back-propagation neural networks. Unlike most previous papers that focus on travel time estimation of a road based on its ...
• An alternative calculation of the consensus degree in group decision making problems 

  del Moral, Maria Jose ; Chiclana, Francisco ; Tapia Garcia, Juan Miguel ; Herrera-Viedma, Enrique (Conference)

  In a problem of group decision-making it is desirable to obtain a solution with the highest possible degree of agreement –consensus- among the participants. For this aim, it is necessary to have tools that facilitate the ...
• A minimum adjustment cost feedback mechanism based consensus model for group decision making under social network with distributed linguistic trust 

  Chiclana, Francisco ; Fujita, Hamido ; Herrera-Viedma, Enrique ; Wu, Jian ; Dai, Lifang (Article)

  A theoretical feedback mechanism framework to model consensus in social network group decision making (SN-GDM) is proposed with following two main components: (1) the modelling of trust relationship with linguistic ...
• Water Advisory Demand Evaluation and Resource Toolkit 

  Iliya, S. ; Paluszczyszyn, D. ; Goodyer, E. ; Kubrycht, T. (Conference)

  The purpose of this feasibility study is to determine if the application of computational intelligence can be used to analyse the apparently unrelated data sources (social media, grid usage, traffic/transportation and ...
• Consensus modeling with probability and cost constraints under uncertainty opinions 

  Chiclana, Francisco ; Tan, Xiao ; Gong, Zaiwu ; Zhang, Ning (Article)

  Goal programming is often applied into uncertain group decision making to achieve the optimal solution. Exiting models focus on either the minimum cost (guaranteeing negotiation budget) or the maximum utility (improving ...
• Grey Data Analysis 

  Liu, S. ; Yang, Yingjie ; Forrest, J. (Book)

  This is a text book providing a systematic coverage on the basic theory of grey systems and their applications in different fields. It covers the basic foundation in grey numbers, grey sequence analysis, grey relations, ...
• Measuring Privacy in Vehicular Networks 

  Wagner, Isabel (Conference)

  Vehicular communication plays a key role in near- future automotive transport, promising features like increased traffic safety or wireless software updates. However, vehicular communication can expose driver locations and ...

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