ROMANO, DIEGO
ROMANO, DIEGO
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR - Sede Secondaria Napoli
A deep learning-based method for efficient floating garbage debris recognition on high-performance edge computing platform
2026 Romano, D.; Mennella, C.; Lapegna, M.
Benchmarking Parallel Computing Solutions for Rough Surface Scattering Canonical Problems
2026 Imperatore, Pasquale; Gregoretti, Francesco; Pinel, Nicolas; Nisar, Mehwish; Bourlier, Christophe; Romano, Diego; Iodice, Antonio
Parallel GLRT-Based SAR Tomographic Processing on Distributed Multi-GPU Platforms
2026 Imperatore, Pasquale; Russo, Massimiliano; Nisar, Mehwish; Lapegna, Marco; Romano, Diego; Pauciullo, Antonio
Bone Segmentation in Low-Field Knee MRI Using a Three-Dimensional Convolutional Neural Network
2025 Listone, C.; Romano, D.; Lapegna, M.
Deploying AI-Based Environmental Monitoring Applications at the Edge: Two Case Studies
2025 De Lucia, Gianluca; Laccetti, Giuliano; Lapegna, Marco; Montella, Raffaele; Romano, Diego
Parallelism in GNN: Possibilities and Limits of Current Approaches
2025 Mele, Valeria; Carracciuolo, Luisa; Romano, Diego
Generalized Ware-Amdhal Law
2024 Mele, V.; Romano, D.
KneeBones3Dify 1.0
2024 DE LUCIA, Gianluca; Maddalena, Lucia; Romano, Diego; Gregoretti, Francesco; Antonelli, Laura
KneeBones3Dify-Annotated-Dataset v1.0.0
2024 Soscia, Ernesto; Romano, Diego; Maddalena, Lucia; Gregoretti, Francesco; DE LUCIA, Gianluca; Antonelli, Laura
KneeBones3Dify: Open-source software for segmentation and 3D reconstruction of knee bones from MRI data
2024 Maddalena, L.; Romano, D.; Gregoretti, F.; De Lucia, G.; Antonelli, L.; Soscia, E.; Pontillo, G.; Langella, C.; Fazioli, F.; Giusti, C.; Varriale, R.
PCAHyperspectralClassifier
2024 DE LUCIA, Gianluca; Romano, Diego; Lapegna, Marco
Striking Trade-off between High Performance and Energy Efficiency in an Edge Computing Application for Detecting Floating Plastic Debris
2024 Lapegna, M.; Laccetti, G.; Montella, R.; Romano, D.
3D reconstruction of patient-specific models from MRI data for knee replacement surgery
2023 Romano, D; Gregoretti, F; De Lucia, G; Antonelli, L; Maddalena, L
A GPU Accelerated Hyperspectral 3D Convolutional Neural Network Classification at the Edge with Principal Component Analysis Preprocessing
2023 DE LUCIA, Gianluca; Lapegna, Marco; Romano, Diego
Citizen Science for the Sea with Information Technologies: An Open Platform for Gathering Marine Data and Marine Litter Detection from Leisure Boat Instruments
2023 De Vita Ciro, Giuseppe; Mellone, Gennaro; SanchezGallegos Dante, D; Coviello, Giuseppe; Romano, Diego; Lapegna, Marco; Ciaramella, Angelo
Clustering Algorithms for Enhanced Trustworthiness on High-Performance Edge-Computing Devices
2023 Lapegna, Marco; Mele, Valeria; Romano, Diego
Unlocking the potential of edge computing for hyperspectral image classification: An efficient low-energy strategy
2023 De Lucia, Gianluca; Lapegna, Marco; Romano, Diego
A hybrid clustering algorithm for high-performance edge computing devices [Short]
2022 Laccetti, Giuliano; Lapegna, Marco; Romano, Diego
Cryptography in the Quantum Era
2022 Eufemia Lella; Alberto Gatto; Andrea Pazienza; Diego Romano; Pietro Noviello; Felice Vitulano; Giovanni Schmid
Process Authentication through Blockchain: Three Case Studies
2022 Ciampi, Mario; Romano, Diego; Schmid, Giovanni
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A deep learning-based method for efficient floating garbage debris recognition on high-performance edge computing platform | 1-gen-2026 | Romano, D.; Mennella, C.; Lapegna, M. | |
| Benchmarking Parallel Computing Solutions for Rough Surface Scattering Canonical Problems | 1-gen-2026 | Imperatore, Pasquale; Gregoretti, Francesco; Pinel, Nicolas; Nisar, Mehwish; Bourlier, Christophe; Romano, Diego; Iodice, Antonio | |
| Parallel GLRT-Based SAR Tomographic Processing on Distributed Multi-GPU Platforms | 1-gen-2026 | Imperatore, Pasquale; Russo, Massimiliano; Nisar, Mehwish; Lapegna, Marco; Romano, Diego; Pauciullo, Antonio | |
| Bone Segmentation in Low-Field Knee MRI Using a Three-Dimensional Convolutional Neural Network | 1-gen-2025 | Listone, C.; Romano, D.; Lapegna, M. | |
| Deploying AI-Based Environmental Monitoring Applications at the Edge: Two Case Studies | 1-gen-2025 | De Lucia, Gianluca; Laccetti, Giuliano; Lapegna, Marco; Montella, Raffaele; Romano, Diego | |
| Parallelism in GNN: Possibilities and Limits of Current Approaches | 1-gen-2025 | Mele, Valeria; Carracciuolo, Luisa; Romano, Diego | |
| Generalized Ware-Amdhal Law | 1-gen-2024 | Mele, V.; Romano, D. | |
| KneeBones3Dify 1.0 | 1-gen-2024 | DE LUCIA, Gianluca; Maddalena, Lucia; Romano, Diego; Gregoretti, Francesco; Antonelli, Laura | |
| KneeBones3Dify-Annotated-Dataset v1.0.0 | 1-gen-2024 | Soscia, Ernesto; Romano, Diego; Maddalena, Lucia; Gregoretti, Francesco; DE LUCIA, Gianluca; Antonelli, Laura | |
| KneeBones3Dify: Open-source software for segmentation and 3D reconstruction of knee bones from MRI data | 1-gen-2024 | Maddalena, L.; Romano, D.; Gregoretti, F.; De Lucia, G.; Antonelli, L.; Soscia, E.; Pontillo, G.; Langella, C.; Fazioli, F.; Giusti, C.; Varriale, R. | |
| PCAHyperspectralClassifier | 1-gen-2024 | DE LUCIA, Gianluca; Romano, Diego; Lapegna, Marco | |
| Striking Trade-off between High Performance and Energy Efficiency in an Edge Computing Application for Detecting Floating Plastic Debris | 1-gen-2024 | Lapegna, M.; Laccetti, G.; Montella, R.; Romano, D. | |
| 3D reconstruction of patient-specific models from MRI data for knee replacement surgery | 1-gen-2023 | Romano, D; Gregoretti, F; De Lucia, G; Antonelli, L; Maddalena, L | |
| A GPU Accelerated Hyperspectral 3D Convolutional Neural Network Classification at the Edge with Principal Component Analysis Preprocessing | 1-gen-2023 | DE LUCIA, Gianluca; Lapegna, Marco; Romano, Diego | |
| Citizen Science for the Sea with Information Technologies: An Open Platform for Gathering Marine Data and Marine Litter Detection from Leisure Boat Instruments | 1-gen-2023 | De Vita Ciro, Giuseppe; Mellone, Gennaro; SanchezGallegos Dante, D; Coviello, Giuseppe; Romano, Diego; Lapegna, Marco; Ciaramella, Angelo | |
| Clustering Algorithms for Enhanced Trustworthiness on High-Performance Edge-Computing Devices | 1-gen-2023 | Lapegna, Marco; Mele, Valeria; Romano, Diego | |
| Unlocking the potential of edge computing for hyperspectral image classification: An efficient low-energy strategy | 1-gen-2023 | De Lucia, Gianluca; Lapegna, Marco; Romano, Diego | |
| A hybrid clustering algorithm for high-performance edge computing devices [Short] | 1-gen-2022 | Laccetti, Giuliano; Lapegna, Marco; Romano, Diego | |
| Cryptography in the Quantum Era | 1-gen-2022 | Eufemia Lella; Alberto Gatto; Andrea Pazienza; Diego Romano; Pietro Noviello; Felice Vitulano; Giovanni Schmid | |
| Process Authentication through Blockchain: Three Case Studies | 1-gen-2022 | Ciampi, Mario; Romano, Diego; Schmid, Giovanni |