 | Monter d'un niveau |
Belkhiri, A., Ben Attia, M., De Magalhaes, F. G., & Nicolescu, G. (mai 2024). Towards Efficient Diagnosis of Performance Bottlenecks in Microservice-Based Applications (Work In Progress paper) [Communication écrite]. Companion of the 15th ACM/SPEC International Conference on Performance Engineering (ICPE 2024 - Companion), London, United Kingdom. Lien externe
De Magalhaes, F. G., Shafiee, A., Nicolescu, G., & Nikdast, M. (juillet 2024). Are Photonic Integrated Circuits (PICs) Secure? A Glance at Security Vulnerabilities in PICs [Communication écrite]. 2024 IEEE Photonics Society Summer Topicals Meeting Series (SUM 2024), Bridgetown, Barbados (2 pages). Lien externe
Destras, O., Le Beux, S., Göhring de Magalhães, F., & Nicolescu, G. (2024). Survey on activation functions for optical neural networks. ACM Computing Surveys, 56(2), 35 (30 pages). Disponible
Misson, H. A., Zrelli, R., Ben Attia, M., Magalhaes, F. G., & Nicolescu, G. (septembre 2023). ReDaML: a modeling language for DO-178C high-level requirements in airspace systems [Communication écrite]. 34th International Workshop on Rapid System Prototyping (RSP 2023), Hamburg, Germany (7 pages). Lien externe
Shahnejat Bushehri, A., Amirnia, A., Belkhiri, A., Keivanpour, S., De Magalhaes, F. G., & Nicolescu, G. (2024). Deep Learning-Driven Anomaly Detection for Green IoT Edge Networks. IEEE Transactions on Green Communications and Networking, 8(1), 498-513. Lien externe
Silva-Pinto, N.-G., Gagnon, M., Obas, H., Ouattara, J.-Y. S., & Nicolescu, G. (avril 2024). Onto-by-wire: Bridging the knowledge gap between avionics and cybersecurity through ontology [Communication écrite]. 24th Integrated Communications, Navigation and Surveillance Conference (ICNS 2024), Herndon, VA, USA (11 pages). Lien externe
Zrelli, R., Amaral Misson, H., Ben Attia, M., Gohring de Magalhães, F., Shabah, A., & Nicolescu, G. Natural2CTL: A Dataset for Natural Language Requirements and Their CTL Formal Equivalents [Communication écrite]. 30th International Working Conference on Requirement Engineering : Foundation for Software Quality (REFSQ 2024), Winterthur, Switzerland. Lien externe
Shahnejat Bushehri, A., Amirnia, A., Belkhiri, A., Keivanpour, S., De Magalhaes, F. G., & Nicolescu, G. (2024). Deep Learning-Driven Anomaly Detection for Green IoT Edge Networks. IEEE Transactions on Green Communications and Networking, 8(1), 498-513. Lien externe
