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2020 – today
- 2022
[c6]Mathew Nicho
, Farzan Majdani, Christopher D. McDermott:
Replacing Human Input in Spam Email Detection Using Deep Learning. HCI (35) 2022: 387-404- 2020
- [b1]Farzan Majdani:
Automated anomaly recognition in real time data streams for oil and gas industry. Robert Gordon University, Aberdeen, UK, 2020 - [c5]Farzan Majdani, Lynne Batik, Andrei Petrovski, Sergey Petrovski:
Detecting Malicious Signal Manipulation in Smart Grids Using Intelligent Analysis of Contextual Data. SIN 2020: 4:1-4:8
2010 – 2019
- 2018
- [j1]Farzan Majdani, Andrei Petrovski, Daniel C. Doolan:
Evolving ANN-based sensors for a context-aware cyber physical system of an offshore gas turbine. Evol. Syst. 9(2): 119-133 (2018) - [c4]Christopher D. McDermott, Andrei V. Petrovski, Farzan Majdani:
Towards Situational Awareness of Botnet Activity in the Internet of Things. CyberSA 2018: 1-8 - [c3]Farzan Majdani, Andrei Petrovski, Sergey Petrovski:
Generic Application of Deep Learning Framework for Real-Time Engineering Data Analysis. IJCNN 2018: 1-8 - [c2]Christopher D. McDermott, Farzan Majdani, Andrei Petrovski:
Botnet Detection in the Internet of Things using Deep Learning Approaches. IJCNN 2018: 1-8 - 2016
- [c1]Farzan Majdani, Andrei Petrovski, Daniel C. Doolan:
Designing a Context-Aware Cyber Physical System for Smart Conditional Monitoring of Platform Equipment. EANN 2016: 198-210
Coauthor Index
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