Search Results - "Piccialli, Francesco"

Machine learning for landslides prevention: a survey by Ma, Zhengjing, Mei, Gang, Piccialli, Francesco

“…Landslides are one of the most critical categories of natural disasters worldwide and induce severely destructive outcomes to human life and the overall…”
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The Role of Artificial Intelligence in Fighting the COVID-19 Pandemic by Piccialli, Francesco, di Cola, Vincenzo Schiano, Giampaolo, Fabio, Cuomo, Salvatore

“…The first few months of 2020 have profoundly changed the way we live our lives and carry out our daily activities. Although the widespread use of futuristic…”
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SWCGAN: Generative Adversarial Network Combining Swin Transformer and CNN for Remote Sensing Image Super-Resolution by Tu, Jingzhi, Mei, Gang, Ma, Zhengjing, Piccialli, Francesco

“…Easy and efficient acquisition of high-resolution remote sensing images is of importance in geographic information systems. Previously, deep neural networks…”
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Author Correction: Deep learning forecasting of large induced earthquakes via precursory signals by Convertito, Vincenzo, Giampaolo, Fabio, Amoroso, Ortensia, Piccialli, Francesco

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Deep learning forecasting of large induced earthquakes via precursory signals by Convertito, Vincenzo, Giampaolo, Fabio, Amoroso, Ortensia, Piccialli, Francesco

“…Precursory phenomena to earthquakes have always attracted researchers’ attention. Among the most investigated precursors, foreshocks play a key role. However,…”
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Nature-inspired algorithm-based secure data dissemination framework for smart city networks by Qureshi, Kashif Naseer, Ahmad, Awais, Piccialli, Francesco, Casolla, Giampaolo, Jeon, Gwanggil

“…Unceasing population growth and urbanization have intensified the traditional systems to deal with citizen lifestyle, environment, economic issues and good…”
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IoT-based collaborative reputation system for associating visitors and artworks in a cultural scenario by Cuomo, Salvatore, Michele, Pasquale De, Piccialli, Francesco, Galletti, Ardelio, Jung, Jai E.

“…•We design a CRS to establish the people reputation within Cultural spaces.•The system is able to classify visitor behaviours.•Our approach is suitable for…”
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Precision medicine and machine learning towards the prediction of the outcome of potential celiac disease by Piccialli, Francesco, Calabrò, Francesco, Crisci, Danilo, Cuomo, Salvatore, Prezioso, Edoardo, Mandile, Roberta, Troncone, Riccardo, Greco, Luigi, Auricchio, Renata

“…Potential Celiac Patients (PCD) bear the Celiac Disease (CD) genetic predisposition, a significant production of antihuman transglutaminase antibodies, but no…”
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An IoT data analytics approach for cultural heritage by Piccialli, Francesco, Benedusi, Paolo, Carratore, Luca, Colecchia, Giovanni

“…The ability to integrate, manage, and analyze large amounts of data extracted from different sources is becoming a key asset for businesses, organizations, and…”
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Deep end-to-end learning for price prediction of second-hand items by Fathalla, Ahmed, Salah, Ahmad, Li, Kenli, Li, Keqin, Francesco, Piccialli

“…Recent years have witnessed the rapid development of online shopping and ecommerce websites, e.g., eBay and OLX. Online shopping markets offer millions of…”
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Towards Collaborative Robotics in Top View Surveillance: A Framework for Multiple Object Tracking by Detection Using Deep Learning by Ahmed, Imran, Din, Sadia, Jeon, Gwanggil, Piccialli, Francesco, Fortino, Giancarlo

“…Collaborative Robotics is one of the high-interest research topics in the area of academia and industry. It has been progressively utilized in numerous…”
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A deep learning approach for facility patient attendance prediction based on medical booking data by Piccialli, Francesco, Cuomo, Salvatore, Crisci, Danilo, Prezioso, Edoardo, Mei, Gang

“…Nowadays, data-driven methodologies based on the clinical history of patients represent a promising research field in which personalized and intelligent…”
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A Robust Features-Based Person Tracker for Overhead Views in Industrial Environment by Ahmed, Imran, Ahmad, Awais, Piccialli, Francesco, Sangaiah, Arun Kumar, Jeon, Gwanggil

“…A top view camera having wide range lens installed overhead of the objects contributes greatly toward resolving the tracking problem and also maintains…”
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Julia Language in Computational Mechanics: A New Competitor by Xiao, Lei, Mei, Gang, Xi, Ning, Piccialli, Francesco

“…Numerical methods are the most popular tools in computational mechanics and have been used to tackle various practical engineering problems. However, the most…”
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Lessons learned from longitudinal modeling of mobile-equipped visitors in a complex museum by Piccialli, Francesco, Yoshimura, Yuji, Benedusi, Paolo, Ratti, Carlo, Cuomo, Salvatore

“…Cultural sites are evolving toward smart environments, including the notion of hyper-connected museums. In this context, stakeholders of cultural assets need…”
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Numerical modeling of the propagation process of landslide surge using physics-informed deep learning by Wu, Yinghan, Shao, Kaixuan, Piccialli, Francesco, Mei, Gang

“…The landslide surge is a common secondary disaster of reservoir bank landslides, which can cause more serious damage than the landslide itself in many cases…”
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Heterogeneous data fusion considering spatial correlations using graph convolutional networks and its application in air quality prediction by Ma, Zhengjing, Mei, Gang, Cuomo, Salvatore, Piccialli, Francesco

“…Models that predict the future state of certain observations are commonly developed by utilizing heterogeneous data. Most traditional prediction models tend to…”
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A data-driven artificial neural network model for the prediction of ground motion from induced seismicity: The case of The Geysers geothermal field by Prezioso, Edoardo, Sharma, Nitin, Piccialli, Francesco, Convertito, Vincenzo

“…Ground-motion models have gained foremost attention during recent years for being capable of predicting ground-motion intensity levels for future seismic…”
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Energy Theft Detection in Smart Grids: Taxonomy, Comparative Analysis, Challenges, and Future Research Directions by Ahmed, Mohsin, Khan, Abid, Ahmed, Mansoor, Tahir, Mouzna, Jeon, Gwanggil, Fortino, Giancarlo, Piccialli, Francesco

“…Electricity theft is one of the major issues in developing countries which is affecting their economy badly. Especially with the introduction of emerging…”
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An improved Nyström spectral graph clustering using k-core decomposition as a sampling strategy for large networks by Tu, Jingzhi, Mei, Gang, Piccialli, Francesco

“…Clustering on graphs (networks) is becoming intractable due to increasing sizes. Nyström spectral graph clustering (NSC) is a popular method to circumvent the…”
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