| Smart anomaly detection in sensor systems: A multi-perspective review L Erhan, M Ndubuaku, M Di Mauro, W Song, M Chen, G Fortino, ... Information Fusion 67, 64-79, 2021 | 214 | 2021 |
| Analyzing objective and subjective data in social sciences: Implications for smart cities L Erhan, M Ndubuaku, E Ferrara, M Richardson, D Sheffield, FJ Ferguson, ... IEEE Access 7, 19890-19906, 2019 | 18 | 2019 |
| Embedded data imputation for environmental intelligent sensing: A case study L Erhan, M Di Mauro, A Anjum, O Bagdasar, W Song, A Liotta Sensors 21 (23), 7774, 2021 | 13 | 2021 |
| A pilot study mapping citizens’ interaction with urban nature E Ferrara, A Liotta, L Erhan, M Ndubuaku, D Giusto, M Richardson, ... 2018 IEEE 16th Intl Conf on Dependable, Autonomic and Secure Computing, 16th …, 2018 | 10 | 2018 |
| A demographic analysis of urban nature utilization E Ferrara, A Liotta, M Ndubuaku, L Erhan, D Giusto, M Richardson, ... 2018 10th Computer Science and Electronic Engineering (CEEC), 136-141, 2018 | 9 | 2018 |
| Smart anomaly detection in sensor systems: A multi-perspective review. arXiv: Learning L Erhan, MU Ndubuaku, MD Mauro, W Song, M Chen, G Fortino, ... | 5 | 2020 |
| Critical comparison of data imputation techniques at IOT edge L Erhan, M Di Mauro, O Bagdasar, A Liotta International Symposium on Intelligent and Distributed Computing, 35-43, 2021 | 4 | 2021 |
| Data Analytics in an Internet of Things Edge Cloud Setting L Erhan College of Science and Engineering, University of Derby, 2022 | | 2022 |
| Smart Anomaly Detection in Sensor Systems. L Erhan, MU Ndubuaku, M Di Mauro, W Song, M Chen, G Fortino, ... CoRR, 2020 | | 2020 |
