DI NARDO, Emanuel
DI NARDO, Emanuel
Dipartimento di Scienze e Tecnologie
A 3D-CNNs Approach to Classify Users' Emotion through EEG-based Topographical Maps in HRI
2024-01-01 D'Errico, Lorenzo; di Nardo, Emanuel; Ciaramella, Angelo; Staffa, Mariacarla
A Comparative Study to Estimate Fuel Consumption: A Simplified Physical Approach against a Data-Driven Model
2023-01-01 La Ferlita, A.; Qi, Y.; Di Nardo, E.; el Moctar, O.; Schellin, T. E.; Ciaramella, A.
A Data-Driven Model for Rapid CII Prediction
2024-01-01 Muhmer, M.; La Ferlita, A.; Geber, E.; Ehlers, S.; Di Nardo, E.; El Moctar, O.; Ciaramella, A.
A Deep Neural Network to Predict the Residual Hull Girder Strength
2022-01-01 La Ferlita, Alessandro; Di Nardo, Emanuel; Macera, Massimo; Lindemann, Thomas; Ciaramella, Angelo; Koulianos, Nikolaos
A framework of a data-driven model for ship performance
2024-01-01 La Ferlita, Alessandro; Qi, Yan; Di Nardo, Emanuel; El Moctar, Ould; Schellin, Thomas E.; Ciaramella, Angelo
A new biomarker panel of ultraconserved long non-coding RNAs for bladder cancer prognosis by a machine learning based methodology
2023-01-01 Ciaramella, Angelo; Di Nardo, Emanuel; Terracciano, Daniela; Conte, Lia; Febbraio, Ferdinando; Cimmino, Amelia
Advanced Fuzzy Relational Neural Network
2021-01-01 Di Nardo, E.; Ciaramella, A.
Adversarial Learning for Visual Tracking Research Idea
2019-01-01 Di Nardo, Emanuel
AI-based Monitoring of Coastal and Marine Environments
2023-01-01 Camastra, F.; Ciaramella, A.; Di Nardo, E.; Ferone, A.; Maratea, A.; Montella, R.; Staiano, A.
Application of Different Methods to Determine the Ultimate Strength of Ships in Bending
2023-01-01 Lindemann, Thomas; La Ferlita, Alessandro; DI NARDO, Emanuel; Kaeding, Patrick
Competitive advantage in healthcare based on augmentation of clinical images with artificial intelligence: case study of the 'Sambias' project
2024-01-01 D'Amico, Alessandra; DI CAPUA, Michele; DI NARDO, Emanuel; Rosak Szyrocka, Joanna; Tortorella, Giuseppe; Festa, Giuseppe
Cross-domain Super-Resolution in Medical Imaging
2024-01-01 Bevilacqua, V.; Di Marino, A.; Di Nardo, E.; Ciaramella, A.; De Falco, I.; Sannino, G.
Data-driven model assessment: A comparative study for ship response determination
2024-01-01 La Ferlita, Alessandro; Ley, Jens; Qi, Yan; Schellin, Thomas E.; Nardo, Emanuel Di; El Moctar, Ould; Ciaramella, Angelo
Deep Neural Network (DNN) Method to Predict the Displacement Behavior of Neutral Axis for Ships in Vertical Bending
2022-01-01 La Ferlita, Alessandro; Di Nardo, Emanuel; Macera, Massimo; Lindemann, Thomas; Ciaramella, Angelo; Kaeding, Patrick
Design the modern supply chain: The SmarTwin Project
2024-01-01 Di Capua, M.; Di Nardo, E.; Ciaramella, A.; Iannuzzo, G.; De Prisco, A.; Laderchi, D. R.; Catalano, P.; D'Ambrosio, P.; Moscariello, S.
Distributed Training of 3DPyranet over Intel DevCloud Platform
2019-01-01 Di Nardo, E.; Narducci, F.
EmoP3D: A brain like pyramidal deep neural network for emotion recognition
2019-01-01 DI NARDO, Emanuel; Petrosino, Alfredo; Ullah, Ihsan
Emotion recognition at the edge with AI specific low power architectures
2021-01-01 DI NARDO, Emanuel; Santopietro, Vincenzo; Petrosino, Alfredo
Generative AI and Emotional Health: Innovations with Haystack
2024-01-01 Agliata, A.; Pilato, A.; Mariacarmen, S.; Bottiglieri, S.; Di Nardo, E.; Ciaramella, A.
Parallel Implementation of a Machine Learning Algorithm on GPU
2018-01-01 Cuomo, Salvatore; de Michele, Pasquale; Di Nardo, Emanuel; Marcellino, Livia
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
A 3D-CNNs Approach to Classify Users' Emotion through EEG-based Topographical Maps in HRI | 1-gen-2024 | D'Errico, Lorenzo; di Nardo, Emanuel; Ciaramella, Angelo; Staffa, Mariacarla | |
A Comparative Study to Estimate Fuel Consumption: A Simplified Physical Approach against a Data-Driven Model | 1-gen-2023 | La Ferlita, A.; Qi, Y.; Di Nardo, E.; el Moctar, O.; Schellin, T. E.; Ciaramella, A. | |
A Data-Driven Model for Rapid CII Prediction | 1-gen-2024 | Muhmer, M.; La Ferlita, A.; Geber, E.; Ehlers, S.; Di Nardo, E.; El Moctar, O.; Ciaramella, A. | |
A Deep Neural Network to Predict the Residual Hull Girder Strength | 1-gen-2022 | La Ferlita, Alessandro; Di Nardo, Emanuel; Macera, Massimo; Lindemann, Thomas; Ciaramella, Angelo; Koulianos, Nikolaos | |
A framework of a data-driven model for ship performance | 1-gen-2024 | La Ferlita, Alessandro; Qi, Yan; Di Nardo, Emanuel; El Moctar, Ould; Schellin, Thomas E.; Ciaramella, Angelo | |
A new biomarker panel of ultraconserved long non-coding RNAs for bladder cancer prognosis by a machine learning based methodology | 1-gen-2023 | Ciaramella, Angelo; Di Nardo, Emanuel; Terracciano, Daniela; Conte, Lia; Febbraio, Ferdinando; Cimmino, Amelia | |
Advanced Fuzzy Relational Neural Network | 1-gen-2021 | Di Nardo, E.; Ciaramella, A. | |
Adversarial Learning for Visual Tracking Research Idea | 1-gen-2019 | Di Nardo, Emanuel | |
AI-based Monitoring of Coastal and Marine Environments | 1-gen-2023 | Camastra, F.; Ciaramella, A.; Di Nardo, E.; Ferone, A.; Maratea, A.; Montella, R.; Staiano, A. | |
Application of Different Methods to Determine the Ultimate Strength of Ships in Bending | 1-gen-2023 | Lindemann, Thomas; La Ferlita, Alessandro; DI NARDO, Emanuel; Kaeding, Patrick | |
Competitive advantage in healthcare based on augmentation of clinical images with artificial intelligence: case study of the 'Sambias' project | 1-gen-2024 | D'Amico, Alessandra; DI CAPUA, Michele; DI NARDO, Emanuel; Rosak Szyrocka, Joanna; Tortorella, Giuseppe; Festa, Giuseppe | |
Cross-domain Super-Resolution in Medical Imaging | 1-gen-2024 | Bevilacqua, V.; Di Marino, A.; Di Nardo, E.; Ciaramella, A.; De Falco, I.; Sannino, G. | |
Data-driven model assessment: A comparative study for ship response determination | 1-gen-2024 | La Ferlita, Alessandro; Ley, Jens; Qi, Yan; Schellin, Thomas E.; Nardo, Emanuel Di; El Moctar, Ould; Ciaramella, Angelo | |
Deep Neural Network (DNN) Method to Predict the Displacement Behavior of Neutral Axis for Ships in Vertical Bending | 1-gen-2022 | La Ferlita, Alessandro; Di Nardo, Emanuel; Macera, Massimo; Lindemann, Thomas; Ciaramella, Angelo; Kaeding, Patrick | |
Design the modern supply chain: The SmarTwin Project | 1-gen-2024 | Di Capua, M.; Di Nardo, E.; Ciaramella, A.; Iannuzzo, G.; De Prisco, A.; Laderchi, D. R.; Catalano, P.; D'Ambrosio, P.; Moscariello, S. | |
Distributed Training of 3DPyranet over Intel DevCloud Platform | 1-gen-2019 | Di Nardo, E.; Narducci, F. | |
EmoP3D: A brain like pyramidal deep neural network for emotion recognition | 1-gen-2019 | DI NARDO, Emanuel; Petrosino, Alfredo; Ullah, Ihsan | |
Emotion recognition at the edge with AI specific low power architectures | 1-gen-2021 | DI NARDO, Emanuel; Santopietro, Vincenzo; Petrosino, Alfredo | |
Generative AI and Emotional Health: Innovations with Haystack | 1-gen-2024 | Agliata, A.; Pilato, A.; Mariacarmen, S.; Bottiglieri, S.; Di Nardo, E.; Ciaramella, A. | |
Parallel Implementation of a Machine Learning Algorithm on GPU | 1-gen-2018 | Cuomo, Salvatore; de Michele, Pasquale; Di Nardo, Emanuel; Marcellino, Livia |