activity
20182022
most citedSmart Anomaly Detection in Sensor Systems: A Multi-Perspective Review

306 citations · 531 across the 10 of their papers we have counts for

collaborators

10 papers

eess.SP2022★ 6 cited

Digital Signal Analysis based on Convolutional Neural Networks for Active Target Time Projection Chambers

G. F. Fortino, J. C. Zamora, L. E. Tamayose +2

An algorithm for digital signal analysis using convolutional neural networks (CNN) was developed in this work. The main objective of this algorithm is to make the analysis of exper…

cs.LG2021★ 1 cited

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

Mabrook S. Al-Rakhami, Abdu Gumaei1, Meteb Altaf +4

Fall prevalence is high among elderly people, which is challenging due to the severe consequences of falling. This is why rapid assistance is a critical task. Ambient assisted livi…

cs.CV2021

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

Muhammad Usman Yaseen, Ashiq Anjum, Giancarlo Fortino +2

Object recognition from live video streams comes with numerous challenges such as the variation in illumination conditions and poses. Convolutional neural networks (CNNs) have been…

cs.CR2021★ 183 cited

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

Mario Di Mauro, Giovanni Galatro, Giancarlo Fortino +1

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

physics.ins-det2020★ 12 cited

Tracking Algorithms for TPCs using Consensus-Based Robust Estimators

J. C. Zamora, G. F. Fortino

A tracking algorithm based on consensus-robust estimators was implemented for the analysis of experiments with time-projection chambers. In this work, few algorithms beyond RANSAC…

cs.LG2020★ 306 cited

Smart Anomaly Detection in Sensor Systems: A Multi-Perspective Review

L. Erhan, M. Ndubuaku, M. Di Mauro +5

Anomaly detection is concerned with identifying data patterns that deviate remarkably from the expected behaviour. This is an important research problem, due to its broad set of ap…

cs.NI2019★ 2 cited

Human-Like Hybrid Caching in Software-defined Edge Cloud

Yixue Hao, Miao Li, Di Wu +3

With the development of Internet of Things (IoT) and communication technology, the number of next-generation IoT devices has increased explosively, and the delay requirement for co…

eess.IV2019★ 14 cited

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

Yan Wang, Wei Song, Giancarlo Fortino +3

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. Although major brea…

cs.NI2019★ 3 cited

A Sustainable Multi-modal Multi-layer Emotion-aware Service at the Edge

Long Hu, Wei Li, Jun Yang +2

Limited by the computational capabilities and battery energy of terminal devices and network bandwidth, emotion recognition tasks fail to achieve good interactive experience for us…

cs.NI2018★ 4 cited

A Dynamic Service-Migration Mechanism in Edge Cognitive Computing

Min Chen, Wei Li, Giancarlo Fortino +3

Driven by the vision of edge computing and the success of rich cognitive services based on artificial intelligence, a new computing paradigm, edge cognitive computing (ECC), is a p…