Exploring coupled images fusion based on joint tensor decomposition
Lu, L., Ren, X., Yeh, K., Tan, Z., & Chanussot, J. (2020)
Exploring coupled images fusion based on joint tensor decomposition. Human-Centric Computing and Information Sciences, 10, https://doi.org/10.1186/s13673-020-00215-z
Data fusion has always been a hot research topic in human-centric computing and extended with the development of artificial intelligence. Generally, the coupled data fusion al...
Using MAP-Elites to support policy making around Workforce Scheduling and Routing
Urquhart, N., Hart, E., & Hutcheson, W. (2020)
Using MAP-Elites to support policy making around Workforce Scheduling and Routing. Automatisierungstechnik, 68(2), https://doi.org/10.1515/auto-2019-0107
English abstract: Algorithms such as MAP-Elites provide a means of allowing users to explore a solution space by returning an archive of high-performing solutions. Such an arc...
Fast Forensic Triage Using Centralised Thumbnail Caches on Windows Operating Systems
Mckeown, S., Russell, G., & Leimich, P. (2020)
Fast Forensic Triage Using Centralised Thumbnail Caches on Windows Operating Systems. Journal of Digital Forensics, Security and Law, 14(3),
A common investigative task is to identify known contraband images on a device, which typically involves calculating cryptographic hashes for all the files on a disk and check...
Double-Arc Parallel Coordinates and its Axes re-Ordering Methods
Lu, L., Wang, W., & Tan, Z. (2020)
Double-Arc Parallel Coordinates and its Axes re-Ordering Methods. Mobile Networks and Applications, 25(4), 1376-1391. https://doi.org/10.1007/s11036-019-01455-9
The Parallel Coordinates Plot (PCP) is a popular technique for the exploration of high-dimensional data. In many cases, researchers apply it as an effective method to analyze ...
PTAOD: A Novel Framework For Supporting Approximate Outlier Detection over Streaming Data for Edge Computing
Zhu, R., Yu, T., Tan, Z., Du, W., Zhao, L., Li, J., & Xia, X. (2019)
PTAOD: A Novel Framework For Supporting Approximate Outlier Detection over Streaming Data for Edge Computing. IEEE Access, 8, 1475-1485. https://doi.org/10.1109/ACCESS.2019.2962066
Outlier detection over sliding window is a fundamental problem in the domain of streaming data management, which has been studied over 10 years. The key of supporting outlier ...
A Multi-attributes-based Trust Model of Internet of Vehicle
Ou, W., Luo, E., Tan, Z., Xiang, L., Yi, Q., & Tian, C. (2019)
A Multi-attributes-based Trust Model of Internet of Vehicle. In Network and System Security. , (706-713). https://doi.org/10.1007/978-3-030-36938-5_45
Internet of Vehicle (IoV) is an open network and it changes in constant, where there are large number of entities. Effective way to keep security of data in IoV is to establis...
Fuzzy-Based Distributed Protocol for Vehicle-to-Vehicle Communication
Hawbani, A., Torbosh, E., Wang, X., Sincak, P., Zhao, L., & Al-Dubai, A. (2021)
Fuzzy-Based Distributed Protocol for Vehicle-to-Vehicle Communication. IEEE Transactions on Fuzzy Systems, 29(3), 612-626. https://doi.org/10.1109/tfuzz.2019.2957254
This paper modeled the multihop data-routing in Vehicular Ad-hoc Networks(VANET) as Multiple Criteria Decision Making (MCDM) in four steps. First, the criteria which have an i...
Novel Fuzzy and Game Theory Based Clustering and Decision Making for VANETs
Alsarhan, A., Kilani, Y., Al-Dubai, A., Zomaya, A. Y., & Hussain, A. (2020)
Novel Fuzzy and Game Theory Based Clustering and Decision Making for VANETs. IEEE Transactions on Vehicular Technology, 69(2), 1568-1581. https://doi.org/10.1109/TVT.2019.2956228
Different studies have recently emphasized the importance of deploying clustering schemes in Vehicular ad hoc Network (VANET) to overcome challenging problems related to scala...
Reliable and energy efficient mechanisms for wireless sensor networks
Ali, A. O. E. S. Reliable and energy efficient mechanisms for wireless sensor networks. (Thesis)
Edinburgh Napier University. Retrieved from http://researchrepository.napier.ac.uk/Output/2404287
Sensor nodes and their underlying communication technologies are characterised by restricted power resources, restricted processing, limited storage capacities, low data rates...
Visualisation Support for Biological Bayesian Network Inference
Vogogias, T. Visualisation Support for Biological Bayesian Network Inference. (Thesis)
Edinburgh Napier University. Retrieved from http://researchrepository.napier.ac.uk/Output/2158180
Extracting valuable information from the visualisation of biological data and turning it into a network model is the main challenge addressed in this thesis. Biological networ...