Multi-sensor fusion in body sensor networks: State-of-the-art and research challenges R Gravina, P Alinia, H Ghasemzadeh, G Fortino Information Fusion 35, 68-80, 2017 | 960 | 2017 |
Evaluating critical security issues of the IoT world: Present and future challenges M Frustaci, P Pace, G Aloi, G Fortino IEEE Internet of things journal 5 (4), 2483-2495, 2017 | 811 | 2017 |
Enabling effective programming and flexible management of efficient body sensor network applications G Fortino, R Giannantonio, R Gravina, P Kuryloski, R Jafari IEEE Transactions on Human-Machine Systems 43 (1), 115-133, 2012 | 463 | 2012 |
An edge-based architecture to support efficient applications for healthcare industry 4.0 P Pace, G Aloi, R Gravina, G Caliciuri, G Fortino, A Liotta IEEE Transactions on Industrial Informatics 15 (1), 481-489, 2018 | 411 | 2018 |
Security and trust issues in fog computing: A survey PY Zhang, MC Zhou, G Fortino Future Generation Computer Systems 88, 16-27, 2018 | 396 | 2018 |
Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges S Qiu, H Zhao, N Jiang, Z Wang, L Liu, Y An, H Zhao, X Miao, R Liu, ... Information Fusion 80, 241-265, 2022 | 392 | 2022 |
A hybrid feature extraction method with regularized extreme learning machine for brain tumor classification A Gumaei, MM Hassan, MR Hassan, A Alelaiwi, G Fortino IEEE Access 7, 36266-36273, 2019 | 369 | 2019 |
Enabling IoT interoperability through opportunistic smartphone-based mobile gateways G Aloi, G Caliciuri, G Fortino, R Gravina, P Pace, W Russo, C Savaglio Journal of Network and Computer Applications 81, 74-84, 2017 | 346 | 2017 |
Internet of things based on smart objects: Technology, middleware and applications G Fortino, P Trunfio Springer Science & Business Media, 2014 | 325 | 2014 |
A framework for collaborative computing and multi-sensor data fusion in body sensor networks G Fortino, S Galzarano, R Gravina, W Li Information Fusion 22, 50-70, 2015 | 318 | 2015 |
A hybrid deep learning model for efficient intrusion detection in big data environment MM Hassan, A Gumaei, A Alsanad, M Alrubaian, G Fortino Information Sciences 513, 386-396, 2020 | 315 | 2020 |
Wireless MEMS-based accelerometer sensor boards for structural vibration monitoring: A review A Sabato, C Niezrecki, G Fortino IEEE Sensors Journal 17 (2), 226-235, 2016 | 310 | 2016 |
A survey on deep learning in medicine: Why, how and when? F Piccialli, V Di Somma, F Giampaolo, S Cuomo, G Fortino Information Fusion 66, 111-137, 2021 | 307 | 2021 |
BodyCloud: A SaaS approach for community body sensor networks G Fortino, D Parisi, V Pirrone, G Di Fatta Future Generation Computer Systems 35, 62-79, 2014 | 303 | 2014 |
Human emotion recognition using deep belief network architecture MM Hassan, MGR Alam, MZ Uddin, S Huda, A Almogren, G Fortino Information Fusion 51, 10-18, 2019 | 285 | 2019 |
Agent-oriented cooperative smart objects: From IoT system design to implementation G Fortino, W Russo, C Savaglio, W Shen, M Zhou IEEE Transactions on Systems, Man, and Cybernetics: Systems 48 (11), 1939-1956, 2017 | 279 | 2017 |
Task offloading and resource allocation for mobile edge computing by deep reinforcement learning based on SARSA T Alfakih, MM Hassan, A Gumaei, C Savaglio, G Fortino Ieee Access 8, 54074-54084, 2020 | 264 | 2020 |
Enhanced fingerprinting and trajectory prediction for IoT localization in smart buildings K Lin, M Chen, J Deng, MM Hassan, G Fortino IEEE Transactions on Automation Science and Engineering 13 (3), 1294-1307, 2016 | 264 | 2016 |
Cognitive internet of vehicles M Chen, Y Tian, G Fortino, J Zhang, I Humar Computer Communications 120, 58-70, 2018 | 250 | 2018 |
Integration of agent-based and cloud computing for the smart objects-oriented IoT G Fortino, A Guerrieri, W Russo, C Savaglio Proceedings of the 2014 IEEE 18th international conference on computer …, 2014 | 232 | 2014 |