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Farhan Mohammed
Farhan Mohammed
Postdoctoral Scientist
Verified email at victorchang.edu.au
Title
Cited by
Cited by
Year
UAVs for smart cities: Opportunities and challenges
F Mohammed, A Idries, N Mohamed, J Al-Jaroodi, I Jawhar
2014 international conference on unmanned aircraft systems (ICUAS), 267-273, 2014
3922014
Unmanned aerial vehicles applications in future smart cities
N Mohamed, J Al-Jaroodi, I Jawhar, A Idries, F Mohammed
Technological forecasting and social change 153, 119293, 2020
3792020
Challenges of developing UAV applications: A project management view
A Idries, N Mohamed, I Jawhar, F Mohamed, J Al-Jaroodi
2015 International Conference on Industrial Engineering and Operations …, 2015
532015
Opportunities and challenges of using UAVs for Dubai smart city
F Mohammed, A Idries, N Mohamed, J Al-Jaroodi, I Jawhar
2014 6th international conference on new technologies, mobility and security …, 2014
532014
Towards trusted and efficient UAV-based communication
F Mohammed, I Jawhar, N Mohamed, A Idries
2016 IEEE 2nd International Conference on Big Data Security on Cloud …, 2016
322016
TRAS: a trust-based routing protocol for ad hoc and sensor networks
I Jawhar, F Mohammed, J Al Jaroodi, N Mohamed
2016 IEEE 2nd International Conference on Big Data Security on Cloud …, 2016
152016
ICU patient deterioration prediction: a data-mining approach
N AlNuaimi, MM Masud, F Mohammed
arXiv preprint arXiv:1511.06910, 2015
72015
Examining the effect of feature selection on improving patient deterioration prediction
N AlNuaimi, MM Masud, F Mohammed
International Journal of Data Mining & Knowledge Management Process (IJDKP …, 2015
62015
Efficient data communication in unmanned aerial vehicles
F Mohamed
32015
A novel model for classification of Parkinson’s disease: accurately identifying patients for surgical therapy
F Mohammed, X He, Y Lin, J Chen
22019
The influence of transcatheter aortic valve replacement on left atrial mechanics: a systematic review and meta-analysis
T Meredith, L Brown, F Mohammed, A Pomeroy, D Roy, DWM Muller, ...
European Heart Journal-Imaging Methods and Practice 2 (2), qyae026, 2024
2024
Applications of machine learning techniques in the diagnosis of Parkinson’s disease: promises and challenges
F Mohammed, X He, Y Lin
Mobile Technologies for Delivering Healthcare in Remote, Rural Or Developing …, 2020
2020
Adopting Machine Learning Technology for the Classification of Parkinson’s Disease
F Mohammed
PQDT-Global, 2020
2020
This thesis is submitted in partial fulfillment of the requirements for the degree of Master of Science in Information Technology Management
F Mohammed
2015
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