Search Results for author: Giancarlo Fortino

Found 5 papers, 1 papers with code

An advanced data fabric architecture leveraging homomorphic encryption and federated learning

no code implementations15 Feb 2024 Sakib Anwar Rieyan, Md. Raisul Kabir News, A. B. M. Muntasir Rahman, Sadia Afrin Khan, Sultan Tasneem Jawad Zaarif, Md. Golam Rabiul Alam, Mohammad Mehedi Hassan, Michele Ianni, Giancarlo Fortino

In a Federated learning architecture, the global model is trained based on the learned parameters of several local models that eliminate the necessity of moving data to a centralized repository for machine learning.

Federated Learning Privacy Preserving

FallDeF5: A Fall Detection Framework Using 5G-based Deep Gated Recurrent Unit Networks

no code implementations29 Jun 2021 Mabrook S. Al-rakhami, Abdu Gumaei1, Meteb Altaf, Mohammad Mehedi Hassan, Bader Fahad Alkhamees, Khan Muhammad, Giancarlo Fortino

Edge computing can reduce the cost of cloud communication, including high latency and bandwidth use, by moving conventional healthcare services and applications closer to end-users.

Edge-computing Time Series Analysis

Cloud based Scalable Object Recognition from Video Streams using Orientation Fusion and Convolutional Neural Networks

no code implementations19 Jun 2021 Muhammad Usman Yaseen, Ashiq Anjum, Giancarlo Fortino, Antonio Liotta, Amir Hussain

Herein we demonstrate how a feature-fusion strategy of the orientation components leads to further improving visual recognition accuracy to 97\%.

Object Object Recognition

Supervised Feature Selection Techniques in Network Intrusion Detection: a Critical Review

no code implementations11 Apr 2021 Mario Di Mauro, Giovanni Galatro, Giancarlo Fortino, Antonio Liotta

Machine Learning (ML) techniques are becoming an invaluable support for network intrusion detection, especially in revealing anomalous flows, which often hide cyber-threats.

Feature Correlation feature selection +2

An Experimental-based Review of Image Enhancement and Image Restoration Methods for Underwater Imaging

1 code implementation7 Jul 2019 Yan Wang, Wei Song, Giancarlo Fortino, Lizhe Qi, Wenqiang Zhang, Antonio Liotta

Underwater images play a key role in ocean exploration, but often suffer from severe quality degradation due to light absorption and scattering in water medium.

Image Enhancement Image Restoration

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