A Survey of Modern Deep Learning based Object Detection Models (2022)
Journal Article
Zaidi, S., Ansari, M., Aslam, A., Kanwal, N., Asghar, M., & Lee, B. (2022). A Survey of Modern Deep Learning based Object Detection Models. Digital Signal Processing, 1-19. https://doi.org/10.1016/j.dsp.2022.103514

Object Detection is the task of classification and
localization of objects in an image or video. It has gained
prominence in recent years due to its widespread applications.
This article surveys recent developments in deep learning based
object d... Read More about A Survey of Modern Deep Learning based Object Detection Models.

OECD Recommendation's draft concerning access to research data from public funding: A review (2021)
Journal Article
Madeyski, L., Lewowski, T., & Kitchenham, B. (2021). OECD Recommendation's draft concerning access to research data from public funding: A review. Bulletin of the Polish Academy of Sciences Technical Sciences, 69(1), Article e135401. https://doi.org/10.24425/bpasts.2020.135401

Sharing research data from public funding is an important topic, especially now, during times of global emergencies like the COVID-19 pandemic, when we need policies that enable rapid sharing of research data. Our aim is to discuss and review the rev... Read More about OECD Recommendation's draft concerning access to research data from public funding: A review.

Making the Case for Digital Mapping as a Tool for Learning about the Past (2017)
Journal Article
(2017). Making the Case for Digital Mapping as a Tool for Learning about the Past. The Journal of Academic Development and Education, https://doi.org/10.21252/KEELE-0000003

Despite the fact that almost all historians today make use of such online tools as Google Books and digitised primary source archives, it is still considered unusual to make computer software a core part of one’s methodology for learning about the pa... Read More about Making the Case for Digital Mapping as a Tool for Learning about the Past.