# Marina Paolanti

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/marina-paolanti/

## Facts

| Field | Value |
| --- | --- |
| Citations | 3,500 |
| Field | 3D Surveying and Cultural Heritage |
| h-index | 30 |
| i10-index | 69 |
| Last Known Institution | University of Macerata |
| OpenAlex ID | https://openalex.org/A5091088374 |
| ORCID iD | 0000-0002-5523-7174 |
| Works | 134 |

## Researcher papers

- [Machine Learning approach for Predictive Maintenance in Industry 4.0](https://scholariq.org/papers/machine-learning-approach-for-predictive-maintenance-in-industry-4-0/)
- [Point Cloud Semantic Segmentation Using a Deep Learning Framework for Cultural Heritage](https://scholariq.org/papers/point-cloud-semantic-segmentation-using-a-deep-learning-framework-for-cultural/)
- [DEEP CONVOLUTIONAL NEURAL NETWORK FOR AUTOMATIC DETECTION OF DAMAGED PHOTOVOLTAIC CELLS](https://scholariq.org/papers/deep-convolutional-neural-network-for-automatic-detection-of-damaged/)
- [Comparing Machine and Deep Learning Methods for Large 3D Heritage Semantic Segmentation](https://scholariq.org/papers/comparing-machine-and-deep-learning-methods-for-large-3d-heritage-semantic/)
- [SOPHIA: An Event-Based IoT and Machine Learning Architecture for Predictive Maintenance in Industry 4.0](https://scholariq.org/papers/sophia-an-event-based-iot-and-machine-learning-architecture-for-predictive/)
- [Automatic Faults Detection of Photovoltaic Farms: solAIr, a Deep Learning-Based System for Thermal Images](https://scholariq.org/papers/automatic-faults-detection-of-photovoltaic-farms-solair-a-deep-learning-based/)
- [A BENCHMARK FOR LARGE-SCALE HERITAGE POINT CLOUD SEMANTIC SEGMENTATION](https://scholariq.org/papers/a-benchmark-for-large-scale-heritage-point-cloud-semantic-segmentation/)
- [Machine learning-based design support system for the prediction of heterogeneous machine parameters in industry 4.0](https://scholariq.org/papers/machine-learning-based-design-support-system-for-the-prediction-of-heterogeneous/)
- [Multidisciplinary Pattern Recognition applications: A review](https://scholariq.org/papers/multidisciplinary-pattern-recognition-applications-a-review/)
- [Human trajectory prediction and generation using LSTM models and GANs](https://scholariq.org/papers/human-trajectory-prediction-and-generation-using-lstm-models-and-gans/)
- [ScoolAR: An Educational Platform to Improve Students’ Learning Through Virtual Reality](https://scholariq.org/papers/scoolar-an-educational-platform-to-improve-students-learning-through-virtual/)

## Researcher topics

- [3D Surveying and Cultural Heritage](https://scholariq.org/topics/3d-surveying-and-cultural-heritage/)
- [Remote Sensing and LiDAR Applications](https://scholariq.org/topics/remote-sensing-and-lidar-applications/)
- [Video Surveillance and Tracking Methods](https://scholariq.org/topics/video-surveillance-and-tracking-methods/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)

## Researcher university

- [University of Macerata](https://scholariq.org/institutions/university-of-macerata/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.