Browsing School of Computer Science and Informatics by Title
Now showing items 1374-1393 of 2581
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Job-shop scheduling with an adaptive neural network and local search hybrid approach
(Conference)Job-shop scheduling is one of the most difficult production scheduling problems in industry. This paper proposes an adaptive neural network and local search hybrid approach for the job-shop scheduling problem. The adaptive ... -
Join and Meet Operations for Interval-Valued Complex Fuzzy Logic
(Conference)Interval-valued complex fuzzy logic is able to handle scenarios where both seasonality and uncertainty feature. The interval-valued complex fuzzy set is defined, and the interval valued complex fuzzy inferencing system ... -
Joint multicast routing and channel assignment in multiradio multichannel wireless mesh networks using simulated annealing.
(Conference)This paper proposes a simulated annealing (SA) algorithm based optimization approach to search a minimum-interference multicast tree which satisfies the end-to-end delay constraint and optimizes the usage of the scarce ... -
Joint multicast routing and channel assignment in multiradio multichannel wireless mesh networks using tabu search.
(Conference)This paper proposes a tabu search (TS) based optimization approach to search a minimum-interference multicast tree which satisfies the end-to-end delay constraint and optimizes the usage of the scarce radio network resource ... -
Joint QoS multicast routing and channel assignment in multiradio multichannel wireless mesh networks using intelligent computational methods.
(Article)In this paper, the quality of service multicast routing and channel assignment (QoS-MRCA) problem is investigated. It is proved to be a NP-hard problem. Previous work separates the multicast tree construction from the ... -
K-Mediator: Towards evolving information systems.
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Keeping an eye on the game: Eye gaze interaction with massively multiplayer online games and virtual communities for motor impaired users.
(Conference)Online virtual communities are becoming increasingly popular both within the able-bodied and disabled user communities. These games assume the use of keyboard and mouse as standard input devices, which in some cases is ... -
Kernels of grey numbers and their operations
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A knee-point-based evolutionary algorithm using weighted subpopulation for many-objective optimization
(Article)Among many-objective optimization problems (MaOPs), the proportion of nondominated solutions is too large to distinguish among different solutions, which is a great obstacle in the process of solving MaOPs. Thus, this paper ... -
Knitwear customisation as repeated redesign.
(Conference)Producing large numbers of garment variants will only be economically viable if it requires very little human effort. But garment customisation cannot always be fully automated. Applying grading rules maintain the same ... -
Knowledge based Learning Experience Management on the Semantic Web
(Conference)Learners engaged in informal learning tasks often find sharing their learning experience to be helpful. Informally, a learning experience describes what a learner has done, with what learning resources. We explore technological ... -
Knowledge Services for Distributed Service Integration
(Conference)Introduce a service-oriented approach for the provision of knowledge-based support for distributed computing, develop a generic knowledge service architecture to realise this approach, and apply this approach to design ... -
Knowledge-based systems.
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A Knowledge-Driven Approach to Activity Recognition in Smart Homes
(Article)This paper introduces a knowledge-driven approach to real-time, continuous activity recognition based on multisensor data streams in smart homes. The approach goes beyond the traditional data-centric methods for activity ... -
A Knowledge-driven Approach to Composite Activity Recognition in Smart Environments
(Book chapter)Knowledge-driven activity recognition has recently attracted increasing attention but mainly focused on simple activities. This paper extends previous work to introduce a knowledge-driven approach to recognition of composite ...