Props Alive: A Framework for Augmented Reality Stop Motion Animation
Conference Proceeding
Casas, L., Kosek, M., & Mitchell, K. (2020)
Props Alive: A Framework for Augmented Reality Stop Motion Animation. In 2017 IEEE 10th Workshop on Software Engineering and Architectures for Realtime Interactive Systems (SEARIS)https://doi.org/10.1109/SEARIS41720.2017.9183487
Stop motion animation evolved in the early days of cinema with the aim to create an illusion of movement with static puppets posed manually each frame. Current stop motion mov...
Using MAP-Elites to support policy making around Workforce Scheduling and Routing
Journal Article
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...
A Review on Deep Learning Approaches to Image Classification and Object Segmentation
Journal Article
Wu, H., Liu, Q., & Liu, X. (2019)
A Review on Deep Learning Approaches to Image Classification and Object Segmentation. Computers, Materials & Continua, 60(2), 575-597. https://doi.org/10.32604/cmc.2019.03595
Deep learning technology has brought great impetus to artificial intelligence, especially in the fields of image processing, pattern and object recognition in recent years. Pr...
Photo-Realistic Facial Details Synthesis from Single Image
Conference Proceeding
Chen, A., Chen, Z., Zhang, G., Zhang, Z., Mitchell, K., & Yu, J. (2019)
Photo-Realistic Facial Details Synthesis from Single Image. In 2019 IEEE/CVF International Conference on Computer Vision (ICCV) (9429-9439). https://doi.org/10.1109/ICCV.2019.00952
We present a single-image 3D face synthesis technique that can handle challenging facial expressions while recovering fine geometric details. Our technique employs expression ...
The evaluation of data filtering criteria in wind turbine power performance assessment
Thesis
Davison, B. The evaluation of data filtering criteria in wind turbine power performance assessment. (Thesis)
Edinburgh Napier University. Retrieved from http://researchrepository.napier.ac.uk/Output/2376943
The post-installation verification of wind turbine performance is an essential part of a wind energy project. Data collected from meteorological instruments and from the turbi...
An AI approach to Collecting and Analyzing Human Interactions with Urban Environments
Journal Article
Ferrara, E., Fragale, L., Fortino, G., Song, W., Perra, C., di Mauro, M., & Liotta, A. (2019)
An AI approach to Collecting and Analyzing Human Interactions with Urban Environments. IEEE Access, 7, 141476-141486. https://doi.org/10.1109/access.2019.2943845
Thanks to advances in Internet of Things and crowd-sensing, it is possible to collect vast amounts of urban data, to better understand how citizens interact with cities and, i...
Statistical Assessment of IP Multimedia Subsystem in a Softwarized Environment: a Queueing Networks Approach
Journal Article
Di Mauro, M., & Liotta, A. (2019)
Statistical Assessment of IP Multimedia Subsystem in a Softwarized Environment: a Queueing Networks Approach. IEEE Transactions on Network and Service Management, 16(4), 1493-1506. https://doi.org/10.1109/tnsm.2019.2943776
The Next Generation 5G Networks can greatly benefit from the synergy between virtualization paradigms, such as the Network Function Virtualization (NFV), and service provision...
Outlier Detection of Time Series with A Novel Hybrid Method in Cloud Computing
Journal Article
Liu, Q., Wang, Z., Liu, X., & Linge, N. (2019)
Outlier Detection of Time Series with A Novel Hybrid Method in Cloud Computing. International Journal of High Performance Computing and Networking, 14(4), 435-443. https://doi.org/10.1504/IJHPCN.2019.102350
In the wake of the development in science and technology, Cloud Computing has obtained more attention in different field. Meanwhile, outlier detection for data mining in Cloud...
Increasing Trust in Meta-Heuristics by Using MAP-Elites
Conference Proceeding
Urquhart, N., Guckert, M., & Powers, S. (2019)
Increasing Trust in Meta-Heuristics by Using MAP-Elites. In GECCO '19 Companion, (1345-1348). https://doi.org/10.1145/3319619.3326816
Intelligent AI systems using approaches containing emergent elements often encounter acceptance problems. Results do not get sufficiently explained and the procedure itself ca...
Algorithm selection using deep learning without feature extraction
Conference Proceeding
Alissa, M., Sim, K., & Hart, E. (2019)
Algorithm selection using deep learning without feature extraction. In GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion. , (198-206). https://doi.org/10.1145/3321707.3321845
We propose a novel technique for algorithm-selection which adopts a deep-learning approach, specifically a Recurrent-Neural Network with Long-Short-Term-Memory (RNN-LSTM). In ...