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Mohammed Al-Zeyadi

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Books and Theses

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2018
[b1]
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  - phd/ethos/AlZeyadi18
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Mohammed Al-Zeyadi:
Efficient and effective methodologies for exploring and prediction movement patterns in large networks. University of Liverpool, UK, 2018

Conference and Workshop Papers

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2020
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  - conf/ijcnn/Al-ZeyadiAHRSRM20
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Mohammed Al-Zeyadi, Javier Andreu-Perez, Hani Hagras, Chris Royce, Darren Smith, Piotr Rzonsowski, Ali Malik:
Deep Learning Towards Intelligent Vehicle Fault Diagnosis. IJCNN 2020: 1-7
2017
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  - conf/bigcomp/Al-ZeyadiCL17
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Mohammed Al-Zeyadi, Frans Coenen, Alexei Lisitsa:
On the mining and usage of Movement Patterns in large traffic networks. BigComp 2017: 135-142
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Mohammed Al-Zeyadi, Frans Coenen, Alexei Lisitsa:
User-to-User Recommendation using the Concept of Movement Patterns: A Study using a Dating Social Network. KDIR 2017: 173-180
2016
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Mohammed Al-Zeyadi, Frans Coenen, Alexei Lisitsa:
Mining Frequent Movement Patterns in Large Networks: A Parallel Approach Using Shapes. SGAI Conf. 2016: 53-67

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