Northampton Electronic Collection of Theses and Research

Browse by University of Northampton Authors

Group by: Item Type | Date
Number of items: 19.

Article

  1. Turner, S. and Turner, T. (2019) Thomas's Tangles. Hello World. (9), pp. 74-75.
  2. Hill, G., Svennevik, E. and Turner, S. (2015) Computer Science Courses Using Laptops. Innovation in Teaching and Learning in Information and Computer Sciences. , pp. 1-7.

Book Section

  1. Jameel, M. A., Turner, S., Kanakis, T., Al-Sherbaz, A. and Bhaya, W. S. (2022) Deep Learning Approach for Real-time Video Streaming Traffic Classification. In: 2022 International Conference on Computer Science and Software Engineering (CSASE) :. IRQ: IEEE. pp. 168-174.
  2. Oakes, J., Johnson, M., Xue, J. and Turner, S. (2019) Measuring and Reducing the Cognitive Load for the End Users of Complex Systems. In: Bi, Y., Bhatia, R. and Kapoor, S. (eds.) Intelligent Systems and Applications : AISC 1037. Switzerland: Springer Nature Switzerland AG. pp. 1199-1209.
  3. Edan, N. M., Al-Sherbaz, A. and Turner, S. (2017) Design and evaluation of browser-to-browser video conferencing in WebRTC. In: 2017 Global Information Infrastructure and Networking Symposium, GIIS 2017 :. Institute of Electrical and Electronics Engineers Inc.. pp. 75-78.
  4. Edan, N. M., Al-Sherbaz, A. and Turner, S. (2017) WebNSM a novel scalable WebRTC signalling mechanism for many-to-many video conferencing. In: IEEE Conference on Collaboration and Internet Computing :. USA: IEEE. pp. 27-33.
  5. Turner, S. and Hill, G. (2007) Robots in problem-solving and programming. In: White, H. (ed.) Proceedings of 8th Annual Conference of the Subject Centre for Information and Computer Sciences :. GBR: Higher Education Academy, Subject Centre for Information and Computer Sciences. pp. 82-85.

Book

  1. Devecchi, C., Turner, S., Armellini, A., Brooks, I., Mellish, B., Petford, N., Taeed, O. and Hadawi Cbe, A. (2017) SER05 Blockchain Educational Passport Blockchain Educational Passport : Decentralised Learning Ledger (DLL).

Conference or Workshop Item

  1. Al-Rubaye, Z., Al-Sherbaz, A., McCormick, W. and Turner, S. (2018) Identifying Lameness Movements in Sheep via Sensor Data Analysis. Poster presented to: Recent advances in animal welfare science VI, Centre for Life, 2018-06-28.

Thesis

  1. Olajubu, O., Ajit, S., Johnson, M. and Turner, S. Automated Test Case Generation from Domain-Specific High-Level Requirement Models. PhD thesis. University of Northampton.
  2. Butler, T., Johnson, M., Ajit, S. and Turner, S. Creating a Metric to Measure Software Flexibility in Object-Oriented Programming. PhD thesis.
  3. Hill, G., Devecchi, C. and Turner, S. Evaluation and proposed enhancements in learning undergraduate computer programming using visual Problem Based Learning (PbBL) visual Project Based Learning (PjBL) and visual computer programming. PhD thesis. University of Northampton.
  4. Sidoumou, M. R., Turner, S., Picton, P. and Bechkoum, K. Human emotion simulation in a dynamic environment. PhD thesis. University of Northampton.
  5. Dziubek, A., Turner, S. and Johnson, M. Industry Practice as a Source of Potential Values for Computing Education – What Can Teachers and Pupils Learn from Industry Professionals. PhD thesis. University of Northampton.
  6. Oakes, J., Turner, S., Johnson, M. and Xue, J. Intelligent Management of Virtualised Computer Based Workloads and Systems. PhD thesis. University of Northampton.
  7. Al Jameel, M., Opoku Agyeman, M., Kanakis, T., Al-Sherbaz, A., Bhaya, W. and Turner, S. Multimedia Traffic Management over Software-Defined Networking. PhD thesis. University of Northampton.
  8. Al-Sadi, A., Al-Sherbaz, A., Xue, J. and Turner, S. A Novel Placement Algorithm for the Controllers Of the Virtual Networks (COVN) in SD-WAN with Multiple VNs. PhD thesis. University of Northampton.
  9. Turner, S. and Campbell, J. Use of evolutionary algorithms to select filters for evoked potential enhancement. PhD thesis. University of Northampton.
  10. Al-Rubaye, Z., Turner, S., Al-Sherbaz, A. and McCormick, W. Validating a Proposed Data Mining Approach (SLDM) for Motion Wearable Sensors to Detect the Early Signs of Lameness in Sheep. PhD thesis. University of Northampton.
This list was generated from NECTAR on Thu Feb 26 22:40:42 2026 GMT.