Mona Esmaeili

FDCNet: Presentation of the Fuzzy CNN and Fractal Feature Extraction for Detection and Classification of Tumors

Y. Pourasad, Sepideh Molaei, N. Ghorbani, 2022, Computational intelligence and neuroscience.

ML-DDoSnet: IoT Intrusion Detection Based on Denial-of-Service Attacks Using Machine Learning Methods and NSL-KDD

Mona Esmaeili, Hamid Gharagozlou, A. Mohammed, 2022, Wireless Communications and Mobile Computing.

Cross-Correlation for Streaming Seismic Time Series to Detect Events using Parallel and Real-time Methods

M. Devetsikiotis, P. Zarkesh-Ha, Z. Akhavan, 2022, 2022 IEEE 13th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON).

Internet of Things-enabled Passive Contact Tracing in Smart Cities

Michael Devetsikiotis, Dimitrios Sikeridis, Zeinab Akhavan, 2021, Internet Things.

Deep Reinforcement Learning for Online Latency Aware Workload Offloading in Mobile Edge Computing

M. Devetsikiotis, P. Zarkesh-Ha, Xiang Sun, 2022, GLOBECOM 2022 - 2022 IEEE Global Communications Conference.

Multi-Agent-Based Traffic Prediction and Traffic Classification for Autonomic Network Management Systems for Future Networks

M. Devetsikiotis, F. Granelli, Z. Akhavan, 2022, Future Internet.

Classification of COVID-19 in Chest X-ray Images Using Fusion of Deep Features and LightGBM

P. Zarkesh-Ha, H. Nasiri, Mohsen Ghorbani, 2022, 2022 IEEE World AI IoT Congress (AIIoT).

Medical Asset Management: Deep Learning Based Asset Usage Prediction in a Hospital Setting Using Real Data

Z. Akhavan, Mona Esmaeili, S. T. Arzo, 2023, 2023 International Conference on Machine Learning and Applications (ICMLA).