3 citations · 6 across the 6 of their papers we have counts for
6 papers
Evaluating LLaMA 3.2 for Software Vulnerability Detection
José Gonçalves, Miguel Silva, Bernardo Cabral +5
Deep Learning (DL) has emerged as a powerful tool for vulnerability detection, often outperforming traditional solutions. However, developing effective DL models requires large amo…
FlexiGen: Stochastic Dataset Generator for Electric Vehicle Charging Energy Flexibility
Bernardo Cabral, Tiago Fonseca, Clarisse Sousa +1
Electric vehicles (EVs) and renewable energy sources (RES) are vital components of sustainable energy systems, yet their uncoordinated integration can pose substantial challenges t…
A Scalable Clustered Architecture for Cyber-Physical Systems
Bernardo Cabral
Cyber-Physical Systems (CPS) play a vital role in the operation of intelligent interconnected systems. CPS integrates physical and software components capable of sensing, monitorin…
EnergAIze: Multi Agent Deep Deterministic Policy Gradient for Vehicle to Grid Energy Management
Tiago Fonseca, Luis Ferreira, Bernardo Cabral +2
This paper investigates the increasing roles of Renewable Energy Sources (RES) and Electric Vehicles (EVs). While indicating a new era of sustainable energy, these also introduce c…
EVLearn: Extending the CityLearn Framework with Electric Vehicle Simulation
Tiago Fonseca, Luis Ferreira, Bernardo Cabral +4
Intelligent energy management strategies, such as Vehicle-to-Grid (V2G) and Grid-to-Vehicle (G2V) emerge as a potential solution to the Electric Vehicles' (EVs) integration into th…
An IoT Cloud and Big Data Architecture for the Maintenance of Home Appliances
Pedro Chaves, Tiago Fonseca, Luis Lino Ferreira +4
Billions of interconnected Internet of Things (IoT) sensors and devices collect tremendous amounts of data from real-world scenarios. Big data is generating increasing interest in…