Obstacles and opportunities in implementing large-scale agile project management: Re-positioning activity theory as an analytical tool
Thesis
Chita, P. S. Obstacles and opportunities in implementing large-scale agile project management: Re-positioning activity theory as an analytical tool. (Thesis)
Edinburgh Napier University. Retrieved from http://researchrepository.napier.ac.uk/Output/2913134
A key challenge facing organisations adopting large-scale Agile delivery methods is that of quickly and effectively learning new ways of working. This thesis posits that funda...
'A journey that motivates': Discovering the associate student experience
Thesis
Meharg, D. 'A journey that motivates': Discovering the associate student experience. (Thesis)
Edinburgh Napier University. Retrieved from http://researchrepository.napier.ac.uk/Output/2951063
Higher education has seen huge growth in the past two decades with degree study becoming an anticipated next step after high school. But access to higher education is still ri...
From algorithm selection to generation using deep learning
Thesis
Alissa, M. From algorithm selection to generation using deep learning. (Thesis)
Edinburgh Napier University. Retrieved from http://researchrepository.napier.ac.uk/Output/2952201
Algorithm selection and generation techniques are two methods that can be used to exploit the performance complementarity of different algorithms when applied to large diverse...
COVID-19, Students and the New Educational Landscape
Conference Proceeding
Siegel, A. A., Zarb, M., Anderson, E., Crane, B., Gao, A., Latulipe, C., …Meharg, D. (2022)
COVID-19, Students and the New Educational Landscape. In ITiCSE '22: Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education (574–575). https://doi.org/10.1145/3502717.3532167
Students have experienced incredible shifts in the in their learning environments, brought about by the response of universities to the ever-changing public health mandates dr...
A self-attention integrated spatiotemporal LSTM approach to edge-radar echo extrapolation in the Internet of Radars
Journal Article
Yang, Z., Wu, H., Liu, Q., Liu, X., Zhang, Y., & Cao, X. (in press)
A self-attention integrated spatiotemporal LSTM approach to edge-radar echo extrapolation in the Internet of Radars. ISA Transactions, https://doi.org/10.1016/j.isatra.2022.06.046
In recent years, the number of weather-related disasters significantly increases across the world. As a typical example, short-range extreme precipitation can cause severe flo...
CEMA-LSTM: Enhancing Contextual Feature Correlation for Radar Extrapolation Using Fine-Grained Echo Datasets
Journal Article
Yang, Z., Liu, Q., Wu, H., Liu, X., & Zhang, Y. (2023)
CEMA-LSTM: Enhancing Contextual Feature Correlation for Radar Extrapolation Using Fine-Grained Echo Datasets. Computer Modeling in Engineering and Sciences, 135(1), 45-64. https://doi.org/10.32604/cmes.2022.022045
Accurate precipitation nowcasting can provide great convenience to the public so they can conduct corresponding arrangements in advance to deal with the possible impact of upc...
A Fast Inference Framework for Medical Image Semantic Segmentation Tasks Using Deep Learning Framework
Book Chapter
Yang, S., & Li, Y. (2022)
A Fast Inference Framework for Medical Image Semantic Segmentation Tasks Using Deep Learning Framework. In C. H. Chen (Ed.), Computational Intelligence and Image Processing in Medical Applications (157-174). World Scientific Publishing. https://doi.org/10.1142/9789811257452_0010
Deep neural network powered semantic segmentation implementation has great advantages of providing accurate object detection using pixel-based classification; however, when th...
Machine Learning and the Optimal Choice of Asset Pricing Model
Book Chapter
Bielinski, A., & Broby, D. (in press)
Machine Learning and the Optimal Choice of Asset Pricing Model. In Artificial Intelligence for Capital Markets. Taylor and Francis
This chapter evaluates the traditional methods for price prediction and examines, what we believe, are the most promising machine learning techniques for that task. Asset pric...
Building Towards Automated Cyberbullying Detection: A Comparative Analysis
Journal Article
Al Harigy, L. M., Al Nuaim, H. A., Moradpoor, N., & Tan, Z. (2022)
Building Towards Automated Cyberbullying Detection: A Comparative Analysis. Computational Intelligence and Neuroscience, 2022, Article 4794227. https://doi.org/10.1155/2022/4794227
The increased use of social media between digitally anonymous users, sharing their thoughts and opinions, can facilitate participation and collaboration. However, it’s this an...
A novel flow-vector generation approach for malicious traffic detection
Journal Article
Hou, J., Liu, F., Lu, H., Tan, Z., Zhuang, X., & Tian, Z. (2022)
A novel flow-vector generation approach for malicious traffic detection. Journal of Parallel and Distributed Computing, 169, 72-86. https://doi.org/10.1016/j.jpdc.2022.06.004
Malicious traffic detection is one of the most important parts of cyber security. The approaches of using the flow as the detection object are recognized as effective. Benefit...