Dr. Nicola Mosca Profile

Dr. Nicola Mosca

at STIIMA-CNR

SPIE Involvement:

Author

Proceedings Article | 18 June 2024 Presentation + Paper

Image flow-cytometry meets virtual reality: a new scenario for label-free quantitative phase contrast microscopy and single cell analysis

Vittorio Bianco, Massimo D'Agostino, Daniele Pirone, Giusy Giugliano, Nicola Mosca, Maria Di Summa, Pasquale Memmolo, Lisa Miccio, Tommaso Russo, Ettore Stella, Pietro Ferraro

Proceedings Volume 12997, 1299705 (2024) https://doi.org/10.1117/12.3022945

KEYWORDS: Tomography, Virtual reality, Refractive index, Yeast, Microscopy, Inspection, Phase contrast, Image segmentation, Fluorescence, 3D metrology

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Proceedings Article | 12 March 2024 Poster + Paper

An integrated virtual system for monitoring operations on the railway

M. di Summa, A. Cardellicchio, N. Mosca, P. Ferraro, V. Bianco, E. Stella

Proceedings Volume 12913, 129131G (2024) https://doi.org/10.1117/12.3002674

KEYWORDS: Virtual reality, Intelligence systems, Augmented reality, System integration, Safety, Point clouds, Deep learning, Transportation, Standards development, Decision support systems

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Proceedings Article | 9 August 2023 Presentation + Paper

Realistic interactions with micro-objects in a virtual environment

Maria di Summa, Nicola Mosca, Luciana Colella, Vittorio Bianco, Pietro Ferraro, Ettore Stella

Proceedings Volume 12621, 126210R (2023) https://doi.org/10.1117/12.2678665

KEYWORDS: Virtual reality, Visualization, Particle systems, Particles, Molecular interactions, Tissues, Optical spheres, Natural surfaces, Robotics, Reflection

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Proceedings Article | 9 August 2023 Presentation + Paper

On the use of YOLOv5 for detecting common defects on existing RC bridges

Angelo Cardellicchio, Sergio Ruggieri, Andrea Nettis, Nicola Mosca, Giuseppina Uva, Vito Renò

Proceedings Volume 12621, 126210G (2023) https://doi.org/10.1117/12.2673655

KEYWORDS: Bridges, Education and training, Defect detection, Data modeling, Object detection, Inspection

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Proceedings Article | 9 August 2023 Presentation + Paper

Assessing switch weld quality with 3D sensing and machine learning

Cosimo Patruno, Massimiliano Nitti, Angelo Cardellicchio, Nicola Mosca, Maria di Summa, Vito Renò

Proceedings Volume 12621, 126210F (2023) https://doi.org/10.1117/12.2673751

KEYWORDS: Point clouds, Machine learning, Switches, Decision trees, Random forests, Inspection, Sensors, Defect detection, Artificial neural networks

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Proceedings Article | 16 March 2023 Poster + Paper

Better virtual objects placement in real world through photogrammetry for object recognition and spatial anchoring

M. Di Summa, M. Griseta, C. Patruno, G. Viganò, V. Renò, N. Mosca

Proceedings Volume 12449, 124491W (2023) https://doi.org/10.1117/12.2650073

KEYWORDS: Augmented reality, Photogrammetry, 3D modeling, Autoregressive models, 3D image processing, Object recognition, Holography, 3D acquisition, Virtual reality, Transportation

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SPIE Journal Paper | 24 November 2022 Open Access

Optical encoder neural network: a CNN-based optical encoder for robot localization (Erratum)

Cosimo Patruno, Vito Renò, Massimiliano Nitti, Gaetano Pernisco, Nicola Mosca

OE, Vol. 62, Issue 04, 049801, (November 2022) https://doi.org/10.1117/12.10.1117/1.OE.62.4.049801

KEYWORDS: Optical encoders, Neural networks, Unmanned vehicles, Optical sensing, Optical engineering

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SPIE Journal Paper | 22 October 2022

Optical encoder neural network: a CNN-based optical encoder for robot localization

Cosimo Patruno, Vito Renò, Massimiliano Nitti, Gaetano Pernisco, Nicola Mosca

OE, Vol. 62, Issue 04, 041402, (October 2022) https://doi.org/10.1117/12.10.1117/1.OE.62.4.041402

KEYWORDS: Optical encoders, Cameras, Pose estimation, Neural networks, Education and training, Visualization, Motion estimation, Optical engineering, Image processing, Image analysis

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Proceedings Article | 20 June 2021 Presentation + Paper

A robust method for 2D occupancy map building for indoor robot navigation

Cosimo Patruno, Vito Renò, Nicola Mosca, Maria di Summa, Massimiliano Nitti

Proceedings Volume 11785, 117850D (2021) https://doi.org/10.1117/12.2595511

KEYWORDS: Clouds, Sensors, Optical filters, Mobile robots, Laser scanners, Cameras, Robotics, Reflectivity, Data acquisition

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Proceedings Article | 20 June 2021 Presentation + Paper

Post assembly quality inspection using multimodal sensing in aircraft manufacturing

Nicola Mosca, Vito Renò, Massimiliano Nitti, Cosimo Patruno, Ettore Stella

Proceedings Volume 11785, 117850X (2021) https://doi.org/10.1117/12.2594104

KEYWORDS: Manufacturing, Inspection, 3D image processing, Sensors, Image processing, Computing systems, Cameras, 3D acquisition, Tolerancing, Safety

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Proceedings Article | 21 June 2019 Paper

Predictive models for abundance estimation and distribution maps of the striped dolphin Stenella coeruleoalba and the bottlenose dolphin Tursiops truncatus in the Northern Ionian Sea (North-eastern Central Mediterranean)

V. Renò, C. Fanizza, G. Dimauro, V. Telesca, P. Dibari, G. Gala, N. Mosca, G. Cipriano, R. Carlucci, R. Maglietta

Proceedings Volume 11059, 1105917 (2019) https://doi.org/10.1117/12.2527534

KEYWORDS: Data modeling, Artificial intelligence, Statistical analysis, Coastal modeling, Atmospheric modeling, Intelligence systems, Evolutionary algorithms, Information science, Global Positioning System, Binary data

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SPIE Journal Paper | 23 August 2016 Open Access

Material recognition by feature classification using time-of-flight camera

Fabio Martino, Cosimo Patruno, Nicola Mosca, Ettore Stella

JEI, Vol. 25, Issue 06, 061412, (August 2016) https://doi.org/10.1117/12.10.1117/1.JEI.25.6.061412

KEYWORDS: Camera shutters, Transform theory, Time of flight cameras, Sensors, Reflectivity, Cameras, Feature extraction, Glasses, 3D-TOF imaging, Light scattering

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Showing 5 of 12 publications

Conference Committee Involvement (3)

Multimodal Sensing and Artificial Intelligence: Technologies and Applications III

27 June 2023 | Munich, Germany

Multimodal Sensing and Artificial Intelligence: Technologies and Applications II

21 June 2021 | Online Only, Germany

Multimodal Sensing and Artificial Intelligence: Technologies and Applications

26 June 2019 | Munich, Germany

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