Angelo Cardellicchio

According to our database, Angelo Cardellicchio authored at least 19 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Automatic quality control of aluminium parts welds based on 3D data and artificial intelligence.

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

J. Intell. Manuf., April, 2024

Patch-based probabilistic identification of plant roots using convolutional neural networks.

Angelo Cardellicchio, Firozeh Solimani, Giovanni Dimauro, Stephan Summerer, Vito Renò

Pattern Recognit. Lett., 2024

Virtual and Augmented Reality Monitoring and Planning System.

Maria di Summa, Nicola Mosca, Angelo Cardellicchio

ERCIM News, 2024

Optimizing tomato plant phenotyping detection: Boosting YOLOv8 architecture to tackle data complexity.

Firozeh Solimani, Angelo Cardellicchio, Giovanni Dimauro, Angelo Petrozza, Stephan Summerer, Francesco Cellini, Vito Renò

Comput. Electron. Agric., 2024

A Review of Deep Learning-Based Anomaly Detection Strategies in Industry 4.0 Focused on Application Fields, Sensing Equipment, and Algorithms.

Adriano Liso, Angelo Cardellicchio, Cosimo Patruno, Massimiliano Nitti, Pierfrancesco Ardino, Ettore Stella, Vito Renò

IEEE Access, 2024

A new methodology to automatically detect cracks in existing RC bridges.

Vincenzo Mario Di Mucci, Angelo Cardellicchio, Sergio Ruggieri, Andrea Nettis, Vito Renò, Giuseppina Uva

Proceedings of the 3rd International Conference on Visual Pattern Extraction and Recognition for Cultural Heritage Understanding co-located with 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE 2024), 2024

Enhancing Railway Safety: An Unsupervised Approach for Detecting Missing Bolts with Deep Learning and 3D Imaging.

Udith Krishnan Vadakkum Vadukkal, Angelo Cardellicchio, Nicola Mosca, Maria di Summa, Massimiliano Nitti, Ettore Stella, Vito Renò

Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, 2024

Enhancing Small Object Detection in the YOLOv8 model: A Comprehensive Analysis of the Optimized Model Head Adaptations.

Firozeh Solimani, Angelo Cardellicchio, Giovanni Dimauro, Alba Mininni, Maria Calabritto, Roberto Di Biase, Angelo Petrozza, Stephan Summerer, Francesco Cellini, Vito Renò

Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

2023

A Systematic Review of Effective Hardware and Software Factors Affecting High-Throughput Plant Phenotyping.

Firozeh Solimani, Angelo Cardellicchio, Massimiliano Nitti, Alfred Lako, Giovanni Dimauro, Vito Renò

Inf., April, 2023

Detection of tomato plant phenotyping traits using YOLOv5-based single stage detectors.

Angelo Cardellicchio, Firozeh Solimani, Giovanni Dimauro, Angelo Petrozza, Stephan Summerer, Francesco Cellini, Vito Renò

Comput. Electron. Agric., April, 2023

2022

View VULMA: Data Set for Training a Machine-Learning Tool for a Fast Vulnerability Analysis of Existing Buildings.

Angelo Cardellicchio, Sergio Ruggieri, Valeria Leggieri, Giuseppina Uva

Data, 2022

Deep Learning Approaches for Image-Based Detection and Classification of Structural Defects in Bridges.

Angelo Cardellicchio, Sergio Ruggieri, Andrea Nettis, Cosimo Patruno, Giuseppina Uva, Vito Renò

Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022

2019

PLANE: An Extensible Open Source Framework for modeling the Internet of Drones.

Pietro Boccadoro, Angelo Cardellicchio

CoRR, 2019

2018

Innovative Methodology for Detecting of Possible Harmful Compounds for Wastewater Treatment the MAUI Project.

Massimo Blonda, Angelantonio Calabrese, Angelo Cardellicchio, Barbara Casale, Giuseppe Dentamaro, Vincenzo Di Lecce, Antonietta Dimucci, Cataldo Guaragnella, Diego Matrino, Dian K. Palagachev, Domenico Petruzzelli, Tiziano Politi, Maria Rizzi, Vincenzo Sarcina, Vito Felice Uricchio

Proceedings of the 2018 Workshop on Metrology for Industry 4.0 and IoT, 2018

2017

Identification of "Die Hard" Nodes in Complex Networks: A Resilience Approach.

Angela Lombardi, Sabina Tangaro, Roberto Bellotti, Angelo Cardellicchio, Cataldo Guaragnella

Proceedings of the Artificial Life and Evolutionary Computation - 12th Italian Workshop, 2017

2016

Comparative Analysis of PRID Algorithms Based on Results Ambiguity Evaluation.

Vito Renò, Angelo Cardellicchio, Tiziano Politi, Cataldo Guaragnella, Tiziana D'Orazio

Proceedings of the Pattern Recognition Applications and Methods, 2016

Exploiting Ambiguities in the Analysis of Cumulative Matching Curves for Person Re-identification.

Vito Renò, Angelo Cardellicchio, Tiziano Politi, Cataldo Guaragnella, Tiziana D'Orazio

Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, 2016

Real time Artificial Auditory Systems for cluttered environments.

Giuseppe Dentamaro, Angelo Cardellicchio, Cataldo Guaragnella

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015

An Human Perceptive Model for Person Re-identification.

Angelo Cardellicchio, Tiziana D'Orazio, Tiziano Politi, Vito Renò

Proceedings of the VISAPP 2015, 2015