CNR Institutional Research Information System

ROMANO, DIEGO

ROMANO, DIEGO  

Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR - Sede Secondaria Napoli  

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Risultati 1 - 20 di 48 (tempo di esecuzione: 0.034 secondi).
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.
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
Towards explainable AI for hyperspectral image classification in Edge Computing environments 1-gen-2022 De Lucia, G.; Lapegna, M.; Romano, D.
A gpu-parallel image coregistration algorithm for insar processing at the edge 1-gen-2021 Romano, Diego; Lapegna, Marco