Scientific publications

You will find in this page the scientific publications related to the project:

Joint Distributed Computation Offloading and Radio Resource Slicing Based on Reinforcement Learning in Vehicular Networks by K. A. Alaghbari, H. S. Lim, C. Zarakovitis, N. M. A. Latiff, S. H. S. Ariffin and S. F. Chien. IEEE Open Journal of the Communications Society, January 2025. DOI: 10.1109/OJCOMS.2025.3533093

Approaching Interoperability and Data-Related Processing Issues in a Human-Centric Industrial Scenario by D. A. Syed, W. Quadrini, N. Rahmani Choubeh, M. Pinzone, S. Gusmeroli. Communications in Computer and Information Science [Book series], Global Internet of Things and Edge Computing Summit. GIECS 2024. January 2025. DOI: 10.1007/978-3-031-78572-6_2

Optimizing AI Transformer Models for CO₂ Emission Prediction in Self-Driving Vehicles With Mobile/Multi-Access Edge Computing Support by J. Saez-Perez, P. Benlloch-Caballero, D. Tena Gago, J. Garcia Rodriguez, J. M. Alcaraz Calero and Q. Wang, IEEE Access, November 2024. DOI: 10.1109/ACCESS.2024.3491306

Advancing Off-Road Operations: Comparative Assessment of Object Detection Methodologies by J. Saez-Perez, Q. Wang, J. M. Alcaraz Calero, J. Garcia Rodriguez 2024 14th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP), July 2024. DOI: 10.1109/CSNDSP60683.2024.10636691

Towards Intent-based Network Management for the 6G System adopting Multimodal Generative AI by D. Brodimas, K. Trantzas, B. Agko, G. C. Tziavas, C. Tranoris, S. Denazis, A. Birbas, 2024 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), June 2024. DOI: 10.1109/EuCNC/6GSummit60053.2024.10597022

Larger-scale Nakamoto-style blockchains don’t necessarily offer better security by J. Albrecht, S. Andreina, F. Armknecht, G. Karame, G. Marson, J. Willingmann, 2024 IEEE Symposium on Security and Privacy (SP), May 2024. DOI: 10.1109/SP54263.2024.00227

Design and Implementation of an AI-Enabled Sensor for the Prediction of the Behaviour of Software Applications in Industrial Scenarios by A. M. Gama Garcia, J. M. Alcaraz Calero, H. Mora Mora, and Q. Wang, Sensors, February 2024. DOI: 10.3390/s24041236

Efficient CNN-based low-resolution facial detection from UAVs by J. Diez-Tomillo, I. Martinez-Alpiste, G. Golcarenarenji, Q. Wang and J. M. Alcaraz-Calero, Neural Computing and Applications, January 2024. DOI: 10.1007/s00521-023-09401-3

Exploiting multihoming capabilities in 5G-enabled IoT nodes by R. Fayos-Jordan, S. Felici-Castell, J. Segura-Garcia, J. M. Alcaraz-Calero and A. Cervello-Duato. IEEE Access, November 2023. DOI: 10.1109/ACCESS.2023.3338180

Beehive SPIR-V Toolkit: A Composable and Functional API for Runtime SPIR-V Code Generation by J. Fumero, G. Rethy, A. Stratikopoulos, N. Foutris, C. Kotselidis. Proceedings of the 15th ACM SIGPLAN International Workshop on Virtual Machines and Intermediate Languages (VMIL 2023), October 2023. DOI: 10.1145/3623507.3623555

Unified Shared Memory: Friend or Foe? Understanding the Implications of Unified Memory on Managed Heaps by J. Fumero, F. Blanaru, A. Stratikopoulos, S. Dohrmann, S. Viswanathan, C. Kotselidis. Proceedings of the 20th ACM SIGPLAN International Conference on Managed Programming Languages and Runtime (MPLR 2023), October 2023. DOI: 10.1145/3617651.362298

A Multifaceted Memory Analysis of Java Benchmarks by O. Papadakis, A. Andronikakis, N. Foutris, M. Papadimitriou, A. Stratikopoulos, F. Zakkak, P. Xekalakis, C. Kotselidis. Proceedings of the 20th ACM SIGPLAN International Conference on Managed Programming Languages and Runtimes (MPLR 2023), October 2023. DOI: 10.1145/3617651.3622978

Transfer Learning-Enabled IoT System for Continuous Prediction of Vehicle CO 2 Concentration by M. Al Selek, D. Tena-Gago, J. M. Alcaraz-Calero, and Q. Wang, 2023 IEEE International Smart Cities Conference (ISC2), October 2023. DOI: 10.1109/ISC257844.2023.10293394

Empirical Comparison of Face Verification Algorithms from UAVs by J. Diez-Tomillo, J. M. Alcaraz-Calero and Q. Wang. 2023 International Conference on Software, Telecommunications and Computer Networks (SoftCOM), September 2023. DOI: 10.23919/SoftCOM58365.2023.10271666

Digital Twin for Machine-Learning-based Vehicle CO 2 Emissions Concentration Prediction in Embedded System by D. Tena-Gago, M. AlSelek, J. M. Alcaraz-Calero and Q. Wang. 2023 International Conference on Applied Electronics (AE), September 2023. DOI: 10.1109/AE58099.2023.10274412

Scaling Up Performance of Managed Applications on NUMA Systems by O. Papadakis, A. Andronikakis, N. Foutris, M. Papadimitriou, A. Stratikopoulos, F. Zakkak, P. Xekalakis, C. Kotselidis. Proceedings of the 2023 ACM SIGPLAN International Symposium on Memory Management (ISMM), June 2023. DOI: 10.1145/3591195.3595270

Short Paper: Estimating Patch Propagation Times across Blockchain Forks by S. Andreina, L. Alluminio, G.A. Marson, G.Karame. Lecture Notes in Computer Science [Book series], International Conference on Financial Cryptography and Data Security, May 2023. DOI: 10.1007/978-3-031-47751-5_16

Non-invasive, plug-and-play pollution detector for vehicle on-board instantaneous CO2 emission monitoring by D. Tena-Gago, Q. Wang, J. M. Alcaraz-Calero. Internet of Things, March 2023. DOI: 10.1016/j.iot.2023.100755

Design, Implementation, and Empirical Validation of a Framework for Remote Car Driving Using a Commercial Mobile Network by J. Saez-Perez, J., Q. Wang, J.M. Alcaraz-Calero, J. Garcia-Rodriguez. Sensors for Smart Vehicle Applications [Special Issue], Sensors, February 2023. DOI: 10.3390/s23031671

Machine-Learning-Based Carbon Dioxide Concentration Prediction for Hybrid Vehicles by D. Tena-Gago, G. Golcarenarenji, I. Martinez-Alpiste, Q. Wang, J.M. Alcaraz-Calero. AI-IoT for New Challenges in Smart Cities [Special Issue], Sensors, January 2023. DOI: 10.3390/s23031350