All Outputs (3)

A Food Monitoring System using Image Segmentation and Machine Learning (2019)
Thesis
Alatawi, M. I. (2019). A Food Monitoring System using Image Segmentation and Machine Learning. (Thesis). University of Hull. https://hull-repository.worktribe.com/output/4912448

In recent years, the number of people requiring dietary monitoring has risen, and dietary records are an essential part of the diagnosis and treatment of many health problems. This project designs and evaluates a food monitoring system for use in ins... Read More about A Food Monitoring System using Image Segmentation and Machine Learning.

A Spectrum Sensing Test Bed based on Matlab and USRP2 (2014)
Presentation / Conference Contribution
Ammar, M., Mehdawi, M., Riley, N., Fanan, A., Paulson, K., & Zolfaghari, M. (2014, January). A Spectrum Sensing Test Bed based on Matlab and USRP2. Presented at International Conference on Machine Learning, Electrical and Mechanical Engineering

— The spectrum monitoring has gained new aspects with development of the software defined radio SDR as its very important issue in the spectrum management area. In this paper a spectrum monitoring technique with SDR is proposed, the setup of the prot... Read More about A Spectrum Sensing Test Bed based on Matlab and USRP2.

Spectrum occupancy survey In HULL-UK For cognitive radio applications: Measurement & analysis (2013)
Journal Article
Mehdawi, M., Riley, N., Paulson, K., Fanan, A., & Ammar, M. (2013). Spectrum occupancy survey In HULL-UK For cognitive radio applications: Measurement & analysis. International Journal of Scientific and Technology Research, 2(4), 231-236

Efficient use of the radio spectrum is a necessity for future wireless systems. Cognitive Radio (CR) systems promise large inc reases in spectral efficiency. An important design constraint for systems is understanding of the current use of frequency... Read More about Spectrum occupancy survey In HULL-UK For cognitive radio applications: Measurement & analysis.