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ANWAR, A. and KANJO, E., 2023. tinyML for crime prevention: detecting violent conversations. Nottingham: Nottingham Trent University.

BAKAS, D., PANAGIOTIDIS, T. and PELLONI, G., 2023. Labor reallocation and unemployment fluctuations: a tale of two tails. Rimini: The Rimini Centre for Economic Analysis. (Unpublished)

GIBBS, M. and KANJO, E., 2023. Realising the power of edge intelligence: addressing the challenges in AI and tinyML applications for edge computing. Nottingham: Nottingham Trent University. (Unpublished)

JOHNSON, T. and KANJO, E., 2023. TinyDigitalExposome: the opportunities of multimodal urban environmental data and mental wellbeing on constrained microcontrollers. Nottingham: Nottingham Trent University.

KENT, J., 2023. Supporting children’s speech, language and communication: challenges for practitioners and leaders in the early years. Nottingham: Nottingham Trent University.

LIU-SMITH, Y.-L., CANDON, D. and MURPHY, P., 2023. Children missing from education in Nottingham. Nottingham: Nottingham Trent University.

MACHIN, R., 2023. Facilitating emotionally resilient learning in times of crisis. Nottingham: Nottingham Institute of Education, Nottingham Trent University.

NEWHAM, T., MCCANN, M. and SCOTT, A., 2023. Work-like experiences in the United Kingdom: their role in experiential learning and industry-university collaboration. Nottingham: Nottingham Trent University.

PATRICK, B. and KANJO, E., 2023. The impact and challenges of livestock tracking in internetless environments with tiny ML. Nottingham: Nottingham Trent University.

PELL, C., 2023. Data and decision-making at Nottinghamshire Fire and Rescue Service [working paper 1]. Nottingham: Nottingham Business School, Notingham Trent University.

PELL, C., 2023. Data and decision-making at Nottinghamshire Fire and Rescue Service [working paper 2]. UNSPECIFIED. (Unpublished)

TOFT, A., 2023. ‘I used to think that everyone else had got a manual about it but I missed out’: navigating intimacies in the lives of young autistic LGBT+ persons. UNSPECIFIED. (Unpublished)

WOODWARD, K., GIBBS, M. and KANJO, E., 2023. Combining multiple tinyML models for multimodal context-aware stress recognition on constrained microcontrollers. Nottingham: Nottingham Trent University.