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Outputs (15)

Playing games in academic libraries (2018)
Presentation / Conference Contribution
Ennis, L. (2018, December). Playing games in academic libraries. Presented at Edinburgh Library and Information Services Agency Open Forum, National Library of Scotland

This presentation and workshop explored the place of games, play and laughter in library settings.

Participating in a Faculty Learning Community (2018)
Presentation / Conference Contribution
Ennis, L. (2018, November). Participating in a Faculty Learning Community. Presented at Library TeachMeet: teaching, training and information skills within academic libraries, Glasgow, Scotland

This presentation is a quick look at the structure and purpose of the first Faculty Learning Community (FLC) at Edinburgh Napier University. Established in April 2018, the theme of the FLC is "Supporting one another in the university". The purpose of... Read More about Participating in a Faculty Learning Community.

Early Printing along the IJssel: The Production of Incunabula in Deventer, Low Countries (2018)
Presentation / Conference Contribution
Cooijmans-Keizer, L. (2018, October). Early Printing along the IJssel: The Production of Incunabula in Deventer, Low Countries. Paper presented at Incunabula: people, places, products and their relationships, National Library of Scotland (Edinburgh)

Paper presented during the 'Incunabula: people, places, products and their relationships' conference, held at the National Library of Scotland, 24 October 2018.

Abstract:
During the latter half of the fifteenth century, the city of Deventer occup... Read More about Early Printing along the IJssel: The Production of Incunabula in Deventer, Low Countries.

Cloud-based video analytics using convolutional neural networks (2018)
Journal Article
Yaseen, M. U., Anjum, A., Farid, M., & Antonopoulos, N. (2019). Cloud-based video analytics using convolutional neural networks. Software: Practice and Experience, 49(4), 565-583. https://doi.org/10.1002/spe.2636

Object classification is a vital part of any video analytics system, which could aid in complex applications such as object monitoring and management. Traditional video analytics systems work on shallow networks and are unable to harness the power of... Read More about Cloud-based video analytics using convolutional neural networks.

Jisc OA Annual Report 2017-18 for Edinburgh Napier University (2018)
Data
Ramage, L. (2021). Jisc OA Annual Report 2017-18 for Edinburgh Napier University. [Data]. https://doi.org/10.17869/enu.2021.2830291

This dataset contains details of article processing charges (APCs) paid by Edinburgh Napier University to make publications open access during the academic year 2017-18. It has been completed using the Jisc APC template.

University library introduces bibliotherapy for student wellbeing (2018)
Newspaper / Magazine
Ennis, L. (2018). University library introduces bibliotherapy for student wellbeing. Australia

At least one in three people will struggle with their mental health at some point in their lives but reading can help bring relief, explains Laura Ennis.

Reading lists at Edinburgh Napier University: Who, where, what, how, & why (2018)
Presentation / Conference Contribution
Ennis, L. (2018, June). Reading lists at Edinburgh Napier University: Who, where, what, how, & why. Presented at The library at the heart of learning, teaching and research

This talk, delivered at the University of Leiden, discusses how staff at Edinburgh Napier University implemented an improved reading list management platform.

Deep Learning Hyper-Parameter Optimization for Video Analytics in Clouds (2018)
Journal Article
Yaseen, M. U., Anjum, A., Rana, O., & Antonopoulos, N. (2019). Deep Learning Hyper-Parameter Optimization for Video Analytics in Clouds. IEEE Transactions on Systems, Man and Cybernetics: Systems, 49(1), 253-264. https://doi.org/10.1109/TSMC.2018.2840341

A system to perform video analytics is proposed using a dynamically tuned convolutional network. Videos are fetched from cloud storage, preprocessed, and a model for supporting classification is developed on these video streams using cloud-based infr... Read More about Deep Learning Hyper-Parameter Optimization for Video Analytics in Clouds.