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Enabling Artificial Intelligent Virtual Sensors in an IoT Environment

Sensors (Basel, Switzerland), 2023-01, Vol.23 (3), p.1328

2023

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A Deep Learning Approach for IoT Traffic Multi-Classification in a Smart-City Scenario

IEEE access, 2022, Vol.10, p.21193-21210

2022

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Toward Intent-Based Network Automation for Smart Environments: A Healthcare 4.0 Use Case

IEEE access, 2023, Vol.11, p.136565-136576

2023

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Self-Attention based encoder-Decoder for multistep human density prediction

Journal of urban mobility, 2022-12, Vol.2, p.100022, Article 100022

2022

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Graph neural networks for representing multivariate resource usage: A multiplayer mobile gaming case-study

International journal of information management data insights, 2023-04, Vol.3 (1), p.100158, Article 100158

2023

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Text Classification Using the N-Gram Graph Representation Model Over High Frequency Data Streams

Frontiers in applied mathematics and statistics, 2018-09, Vol.4

2018

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Mitigating Alert Fatigue in Cloud Monitoring Systems: A Machine Learning Perspective

Computer networks (Amsterdam, Netherlands : 1999), 2024-08, Vol.250, p.110543, Article 110543

2024

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Task offloading in Edge and Cloud Computing: A survey on mathematical, artificial intelligence and control theory solutions

Computer networks (Amsterdam, Netherlands : 1999), 2021-08, Vol.195, p.108177, Article 108177

2021

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Leveraging pervasive computing for ambient intelligence: A survey on recent advancements, applications and open challenges

Computer networks (Amsterdam, Netherlands : 1999), 2024-02, Vol.239, p.110156, Article 110156

2024

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A light-weight edge-enabled knowledge distillation technique for next location prediction of multitude transportation means

Future generation computer systems, 2024-05, Vol.154, p.45-58

2024

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Intelligent Horizontal Autoscaling in Edge Computing using a Double Tower Neural Network

Computer networks (Amsterdam, Netherlands : 1999), 2022-11, Vol.217, p.109339, Article 109339

2022

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Toward QoS Prediction Based on Temporal Transformers for IoT Applications

IEEE eTransactions on network and service management, 2022-12, Vol.19 (4), p.4010-4027

2022

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Leveraging Graph Neural Networks for SLA Violation Prediction in Cloud Computing

IEEE eTransactions on network and service management, 2024-02, Vol.21 (1), p.605-620

2024

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Towards QoS Prediction based on Temporal Transformers for IoT Applications

IEEE eTransactions on network and service management, 2022

2022

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Hypertuning GRU Neural Networks for Edge Resource Usage Prediction

2021 IEEE Symposium on Computers and Communications (ISCC), 2021, p.1-8

2021

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Using LSTM Neural Networks as Resource Utilization Predictors: The Case of Training Deep Learning Models on the Edge

Economics of Grids, Clouds, Systems, and Services, p.67-74

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Filtering Alerts on Cloud Monitoring Systems

2023 IEEE International Conference on Joint Cloud Computing (JCC), 2023, p.34-37

2023

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A Fault Detection Mechanism for Database Management Systems on Mobile Edge Computing

2023 11th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud), 2023, p.45-50

2023

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An Automated Pipeline for Advanced Fault Tolerance in Edge Computing Infrastructures

Proceedings of the 2nd Workshop on Flexible Resource and Application Management on the Edge, 2022, p.19-24

2022

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A New Approach for Evaluating the Performance of Distributed Latency-Sensitive Services

2024 IEEE International Conference on Communications Workshops (ICC Workshops), 2024, p.365-370

2024

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Multi-Agent Deep Reinforcement Learning for Weighted Multi-Path Routing

Proceedings of the 3rd Workshop on Flexible Resource and Application Management on the Edge, 2023, p.7-11

2023

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Detection of Anomalies in Multivariate Time Series Using Ensemble Techniques

2023 IEEE Ninth International Conference on Big Data Computing Service and Applications (BigDataService), 2023, p.1-8

2023

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Enhancing Virtual Sensors to deal with Missing Values and Low Sampling Rates

2023 11th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud), 2023, p.39-44

2023

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A Machine Learning Regression Approach for Throughput Estimation in an IoT Environment

2021 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics), 2021, p.29-36

2021

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An Unsupervised Machine Learning Approach for IoT Device Categorization

2022 IEEE International Mediterranean Conference on Communications and Networking (MeditCom), 2022, p.25-30

2022

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Enabling Artificial Intelligent Virtual Sensors in an IoT Environment

A Deep Learning Approach for IoT Traffic Multi-Classification in a Smart-City Scenario

Toward Intent-Based Network Automation for Smart Environments: A Healthcare 4.0 Use Case

Self-Attention based encoder-Decoder for multistep human density prediction

Graph neural networks for representing multivariate resource usage: A multiplayer mobile gaming case-study

Text Classification Using the N-Gram Graph Representation Model Over High Frequency Data Streams

Mitigating Alert Fatigue in Cloud Monitoring Systems: A Machine Learning Perspective

Task offloading in Edge and Cloud Computing: A survey on mathematical, artificial intelligence and control theory solutions

Leveraging pervasive computing for ambient intelligence: A survey on recent advancements, applications and open challenges

A light-weight edge-enabled knowledge distillation technique for next location prediction of multitude transportation means

Intelligent Horizontal Autoscaling in Edge Computing using a Double Tower Neural Network

Toward QoS Prediction Based on Temporal Transformers for IoT Applications

Leveraging Graph Neural Networks for SLA Violation Prediction in Cloud Computing

Towards QoS Prediction based on Temporal Transformers for IoT Applications

Hypertuning GRU Neural Networks for Edge Resource Usage Prediction

Using LSTM Neural Networks as Resource Utilization Predictors: The Case of Training Deep Learning Models on the Edge

Filtering Alerts on Cloud Monitoring Systems

A Fault Detection Mechanism for Database Management Systems on Mobile Edge Computing

An Automated Pipeline for Advanced Fault Tolerance in Edge Computing Infrastructures

A New Approach for Evaluating the Performance of Distributed Latency-Sensitive Services

Multi-Agent Deep Reinforcement Learning for Weighted Multi-Path Routing

Detection of Anomalies in Multivariate Time Series Using Ensemble Techniques

Enhancing Virtual Sensors to deal with Missing Values and Low Sampling Rates

A Machine Learning Regression Approach for Throughput Estimation in an IoT Environment

An Unsupervised Machine Learning Approach for IoT Device Categorization

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