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Lorenzo Carnevale
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2020 – today
- 2024
- [j14]Lorenzo Carnevale, Giuseppe Floramo, Donatella Di Fabrizio, Salvatore Arena, Angela Simona Montalto, Pietro Impellizzeri, Carmelo Romeo, Massimo Villari:
Towards a precision medicine Solution for optimal pediatric Laparoscopy: An exploratory data analysis for features Selections. Biomed. Signal Process. Control. 88(Part B): 105321 (2024) - [j13]Lucas Rodrigues Frank, Antonino Galletta, Lorenzo Carnevale, Alex Borges Vieira, Edelberto Franco Silva:
Intelligent resource allocation in wireless networks: Predictive models for efficient access point management. Comput. Networks 254: 110762 (2024) - [c40]Alessio Catalfamo, Lorenzo Carnevale, Marco Garofalo, Massimo Villari:
Flower Full-Compliant Implementation of Federated Learning with Homomorphic Encryption. ISCC 2024: 1-5 - [c39]Pieruigi Dell'Acqua, Maria Fazio, Lorenzo Carnevale, Massimo Villari:
Knowledge Distillation and Federated Learning for Data-Driven Monitoring of Electrical Vehicle Li-Battery. ISCC 2024: 1-5 - [c38]Roberto Marino, Antonino Marino, Domenica De Domenico, Lorenzo Carnevale, Mark Adrian Gambito, Massimo Villari:
A Low Cost Platform for Distributed Data-Driven Structural Health Monitoring. ISCC 2024: 1-6 - [c37]Davide Mulfari, Lorenzo Carnevale, Massimo Villari:
Sequence-to-Sequence Models in Italian Atypical Speech Recognition. ISCC 2024: 1-6 - 2023
- [j12]Vineet Srivastava, Pramod Kumar Srivastava, Jyoti Mishra, Rudra Pratap Ojha, Purnendu Shekhar Pandey, Radhe Shyam Dwivedi, Lorenzo Carnevale, Antonino Galletta:
Generalized Defensive Modeling of Malware Propagation in WSNs Using Atangana-Baleanu- Caputo (ABC) Fractional Derivative. IEEE Access 11: 49042-49058 (2023) - [j11]Davide Mulfari, Lorenzo Carnevale, Massimo Villari:
Toward a lightweight ASR solution for atypical speech on the edge. Future Gener. Comput. Syst. 149: 455-463 (2023) - [j10]Gabriele Morabito, Christian Sicari, Armando Ruggeri, Antonio Celesti, Lorenzo Carnevale:
Secure-by-design serverless workflows on the Edge-Cloud Continuum through the Osmotic Computing paradigm. Internet Things 22: 100737 (2023) - [c36]Lorenzo Carnevale, Antonio Filograna, Francesco Arigliano, Roberto Marino, Armando Ruggeri, Maria Fazio:
Supporting the Natural Disaster Management Distributing Federated Intelligence over the Cloud-Edge Continuum: the TEMA Architecture. BDCAT 2023: 18:1-18:6 - [c35]Mario Colosi, Marco Garofalo, Lorenzo Carnevale, Roberto Marino, Maria Fazio, Massimo Villari:
EDGEmergency: A Cloud-Edge Platform to Enable Pervasive Computing for Disaster Management. BDCAT 2023: 19:1-19:4 - [c34]Roberto Marino, Lorenzo Carnevale, Maria Fazio, Massimo Villari:
Make Federated Learning a Standard in Robotics by Using ROS2. BDCAT 2023: 20:1-20:6 - [c33]Lorenzo Carnevale, Giuseppe Floramo, Donatella Di Fabrizio, Salvatore Arena, Angela Simona Montalto, Pietro Impellizzeri, Carmelo Romeo:
Computation of the Abdominal Compliance for Pediatric Laparoscopy by Fitting Curve with the Levenberg-Marquardt Algorithm. BDCAT 2023: 24:1-24:2 - [c32]Roberto Marino, Antonino Marino, Domenica De Domenico, Lorenzo Carnevale, Salvatore Magazù:
OpenSEM: an Open Framework for Data-Driven Structural and Environmental Monitoring. BDCAT 2023: 25:1-25:2 - [c31]Lorenzo Carnevale, Annamaria Ficara, Alessio Catalfamo, Antonino Galletta, Maria Fazio, Massimo Villari:
Secure and Energy Efficient Filtered Over-the-Air Internet of Things Setup in a Wireless Mesh Network for Firmware Freshness. IEEE Big Data 2023: 3904-3913 - [c30]Gabriele Morabito, Christian Sicari, Lorenzo Carnevale, Antonino Galletta, Giuseppe Di Modica, Massimo Villari:
Securing Serverless Workflows on the Cloud Edge Continuum. CCGridW 2023: 118-124 - [c29]Davide Mulfari, Lorenzo Carnevale, Antonino Galletta, Massimo Villari:
Edge Computing Solutions Supporting Voice Recognition Services for Speakers with Dysarthria. CCGridW 2023: 231-236 - [c28]Roberto Marino, Lorenzo Carnevale, Massimo Villari:
When Robotics Meets Distributed Learning: the Federated Learning Robotic Network Framework. ISCC 2023: 1-6 - [c27]Christian Sicari, Alessio Catalfamo, Lorenzo Carnevale, Antonino Galletta, Daniel Balouek-Thomert, Manish Parashar, Massimo Villari:
TEMA: Event Driven Serverless Workflows Platform for Natural Disaster Management. ISCC 2023: 1-6 - [c26]Giuseppe Di Modica, Antonino Galletta, Lorenzo Carnevale, Ahmad Alkhansa, Alessandro Costantini, Daniele Cesini, Paolo Bellavista, Massimo Villari:
Orchestration of Containerized Applications in the Cloud Continuum. PerCom Workshops 2023: 44-49 - [c25]Serena Sebbio, Gabriele Morabito, Alessio Catalfamo, Lorenzo Carnevale, Maria Fazio:
Federated Learning on Raspberry Pi 4: A Comprehensive Power Consumption Analysis. UCC 2023: 44 - [e3]Yogesh Simmhan, Ilkay Altintas, Ana Lucia Varbanescu, Pavan Balaji, Abhinandan S. Prasad, Lorenzo Carnevale:
23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2023, Bangalore, India, May 1-4, 2023. IEEE 2023, ISBN 979-8-3503-0119-9 [contents] - [e2]Yogesh Simmhan, Ilkay Altintas, Ana Lucia Varbanescu, Pavan Balaji, Abhinandan S. Prasad, Lorenzo Carnevale:
23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2023 - Workshops, Bangalore, India, May 1-4, 2023. IEEE 2023, ISBN 979-8-3503-0208-0 [contents] - [e1]Blesson Varghese, Cristina L. Abad, Yogesh Simmhan, Khalid Elgazzar, Stefan Schulte, Abhinandan S. Prasad, Lorenzo Carnevale:
7th IEEE International Conference on Fog and Edge Computing, ICFEC 2023, Bangalore, India, May 1-4, 2023. IEEE 2023, ISBN 979-8-3503-2288-0 [contents] - 2022
- [c24]Vasileios Mygdalis, Lorenzo Carnevale, José Ramiro Martinez de Dios, Dmitriy Shutin, Giovanni Aiello, Massimo Villari, Ioannis Pitas:
OTE: Optimal Trustworthy EdgeAI solutions for smart cities. CCGRID 2022: 842-850 - [c23]Lorenzo Carnevale, Alessandro Ortis, Giancarlo Fortino, Sebastiano Battiato, Massimo Villari:
From Cloud-Edge to Edge-Edge Continuum: the Swarm-Based Edge Computing Systems. DASC/PiCom/CBDCom/CyberSciTech 2022: 1-6 - [c22]Christian Sicari, Lorenzo Carnevale, Antonino Galletta, Massimo Villari:
OpenWolf: A Serverless Workflow Engine for Native Cloud-Edge Continuum. DASC/PiCom/CBDCom/CyberSciTech 2022: 1-8 - [c21]Antonio Celesti, Maria Fazio, Lorenzo Carnevale, Massimo Villari:
A NLP-based Approach to Improve Speech Recognition Services for People with Speech Disorders. ISCC 2022: 1-6 - [c20]Armando Ruggeri, Antonino Galletta, Lorenzo Carnevale, Massimo Villari:
An Energy Efficiency Analysis of the Blockchain-Based extended Triple Diffie-Hellman Protocol for IoT. ISCC 2022: 1-6 - [c19]Alessio Catalfamo, Lorenzo Carnevale, Antonino Galletta, Francesco Martella, Antonio Celesti, Maria Fazio, Massimo Villari:
Scaling Data Analysis Services in an Edge-based Federated Learning Environment. UCC 2022: 167-172 - 2021
- [c18]Emanuele Carlini, Lorenzo Carnevale, Massimo Coppola, Patrizio Dazzi, Gabriele Mencagli, Domenico Talia, Massimo Villari:
An Osmotic Ecosystem for Data Streaming Applications in Smart Cities. FRAME@HPDC 2021: 27-31 - [c17]Lorenzo Carnevale, Armando Ruggeri, Francesco Martella, Antonio Celesti, Maria Fazio, Massimo Villari:
Multi Hop Reconfiguration of End-Devices in Heterogeneous Edge-IoT Mesh Networks. ISCC 2021: 1-6 - [c16]Lorenzo Carnevale, Luisa Damiano, Antonio Fleres, Massimo Villari:
Visitor Artwork Ambient and how Making New Functions of Cultural Heritage by Using Augmented Reality within an Ambient Intelligence. ISMAR Adjunct 2021: 8-12 - 2020
- [j9]Lorenzo Carnevale, Antonio Celesti, Giacomo Fiumara, Antonino Galletta, Massimo Villari:
Investigating classification supervised learning approaches for the identification of critical patients' posts in a healthcare social network. Appl. Soft Comput. 90: 106155 (2020) - [j8]Lorenzo Carnevale, Antonio Celesti, Maria Fazio, Massimo Villari:
A Big Data Analytics Approach for the Development of Advanced Cardiology Applications. Inf. 11(2): 60 (2020)
2010 – 2019
- 2019
- [j7]Antonio Celesti, Maria Fazio, Antonino Galletta, Lorenzo Carnevale, Jiafu Wan, Massimo Villari:
An approach for the secure management of hybrid cloud-edge environments. Future Gener. Comput. Syst. 90: 1-19 (2019) - [j6]Antonio Celesti, Davide Mulfari, Antonino Galletta, Maria Fazio, Lorenzo Carnevale, Massimo Villari:
A study on container virtualization for guarantee quality of service in Cloud-of-Things. Future Gener. Comput. Syst. 99: 356-364 (2019) - [j5]Lorenzo Carnevale, Antonio Celesti, Antonino Galletta, Schahram Dustdar, Massimo Villari:
Osmotic computing as a distributed multi-agent system: The Body Area Network scenario. Internet Things 5: 130-139 (2019) - [j4]Lorenzo Carnevale, Rocco Salvatore Calabrò, Antonio Celesti, Antonino Leo, Maria Fazio, Placido Bramanti, Massimo Villari:
Toward Improving Robotic-Assisted Gait Training: Can Big Data Analysis Help Us? IEEE Internet Things J. 6(2): 1419-1426 (2019) - [j3]Antonino Galletta, Lorenzo Carnevale, Alessia Bramanti, Maria Fazio:
An Innovative Methodology for Big Data Visualization for Telemedicine. IEEE Trans. Ind. Informatics 15(1): 490-497 (2019) - [c15]Alina Buzachis, Antonino Galletta, Antonio Celesti, Lorenzo Carnevale, Massimo Villari:
Towards Osmotic Computing: a Blue-Green Strategy for the Fast Re-Deployment of Microservices. ISCC 2019: 1-6 - 2018
- [j2]Antonino Galletta, Lorenzo Carnevale, Antonio Celesti, Maria Fazio, Massimo Villari:
A Cloud-Based System for Improving Retention Marketing Loyalty Programs in Industry 4.0: A Study on Big Data Storage Implications. IEEE Access 6: 5485-5492 (2018) - [j1]Lorenzo Carnevale, Antonio Celesti, Maria Di Pietro, Antonino Galletta:
How to Conceive Future Mobility Services in Smart Cities According to the FIWARE frontierCities Experience. IEEE Cloud Comput. 5(5): 25-36 (2018) - [c14]Lorenzo Carnevale, Antonio Celesti, Antonino Galletta, Schahram Dustdar, Massimo Villari:
From the Cloud to Edge and IoT: a Smart Orchestration Architecture for Enabling Osmotic Computing. AINA Workshops 2018: 419-424 - [c13]Giacomo Fiumara, Antonio Celesti, Antonino Galletta, Lorenzo Carnevale, Massimo Villari:
Applying Artificial Intelligence in Healthcare Social Networks to Identity Critical Issues in Patients' Posts. HEALTHINF 2018: 680-687 - [c12]Lorenzo Carnevale, Antonino Galletta, Maria Fazio, Antonio Celesti, Massimo Villari:
Designing a FIWARE Cloud Solution for Making Your Travel Smoother: The FLIWARE Experience. CIC 2018: 392-398 - [c11]Alina Buzachis, Antonino Galletta, Lorenzo Carnevale, Antonio Celesti, Maria Fazio, Massimo Villari:
Towards Osmotic Computing: Analyzing Overlay Network Solutions to Optimize the Deployment of Container-Based Microservices in Fog, Edge and IoT Environments. ICFEC 2018: 1-10 - [c10]Antonino Galletta, Salma Allam, Lorenzo Carnevale, Moulay Ali Bekri, Rachid Elouahbi, Massimo Villari:
An innovative methodology for big data visualization in oceanographic domain. ICGDA 2018: 103-107 - [c9]Massimo Villari, Antonino Galletta, Antonio Celesti, Lorenzo Carnevale, Maria Fazio:
Osmotic Computing: Software Defined Membranes meet Private/Federated Blockchains. ISCC 2018: 1292-1297 - [c8]Antonino Galletta, Lorenzo Carnevale, Alina Buzachis, Antonio Celesti, Massimo Villari:
A Microservices-Based Platform for Efficiently Managing Oceanographic Data. Innovate-Data 2018: 25-29 - 2017
- [c7]Salma Allam, Antonino Galletta, Lorenzo Carnevale, Moulay Ali Bekri, Rachid Elouahbi, Massimo Villari:
A Cloud Computing Workflow for Managing Oceanographic Data. ESOCC Workshops 2017: 73-85 - [c6]Lorenzo Carnevale, Antonio Celesti, Maria Fazio, Placido Bramanti, Massimo Villari:
Heart Disorder Detection with Menard Algorithm on Apache Spark. ESOCC 2017: 229-237 - [c5]Antonino Galletta, Lorenzo Carnevale, Antonio Celesti, Maria Fazio, Massimo Villari:
BOSS: A Multitenancy Ad-Hoc Service Orchestrator for Federated Openstack Clouds. FiCloud 2017: 351-357 - [c4]Antonio Celesti, Lorenzo Carnevale, Antonino Galletta, Maria Fazio, Massimo Villari:
A Watchdog Service Making Container-Based Micro-services Reliable in IoT Clouds. FiCloud 2017: 372-378 - [c3]Lorenzo Carnevale, Antonino Galletta, Antonio Celesti, Maria Fazio, Maurizio Paone, Placido Bramanti, Massimo Villari:
Big Data HIS of the IRCCS-ME Future: The Osmotic Computing Infrastructure. IISSC/CN4IoT 2017: 199-207 - [c2]Fabrizio Celesti, Antonio Celesti, Lorenzo Carnevale, Antonino Galletta, Salvatore Campo, Agata Romano, Placido Bramanti, Massimo Villari:
Big data analytics in genomics: The point on Deep Learning solutions. ISCC 2017: 306-309 - [c1]Lorenzo Carnevale, Antonio Celesti, Maria Fazio, Placido Bramanti, Massimo Villari:
How to enable clinical workflows to integrate big healthcare data. ISCC 2017: 857-862
Coauthor Index
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last updated on 2024-11-06 21:36 CET by the dblp team
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