Gianluca Valentino
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View article: Receipt Information Extraction with Joint Multi-Modal Transformer and Rule-Based Model
Receipt Information Extraction with Joint Multi-Modal Transformer and Rule-Based Model Open
A receipt information extraction task requires both textual and spatial analyses. Early receipt analysis systems primarily relied on template matching to extract data from spatially structured documents. However, these methods lack general…
View article: A Comparative Study of Unsupervised Deep Learning Methods for Anomaly Detection in Flight Data
A Comparative Study of Unsupervised Deep Learning Methods for Anomaly Detection in Flight Data Open
This paper provides a comparative study of unsupervised Deep Learning (DL) methods for anomaly detection in Flight Data Monitoring (FDM). The paper applies Long Short-Term Memory (LSTM), Gated Recurrent Units (GRUs), Convolutional Neural N…
View article: A Review of Anomaly Detection in Spacecraft Telemetry Data
A Review of Anomaly Detection in Spacecraft Telemetry Data Open
Telemetry data play a pivotal role in ensuring the success of spacecraft missions and safeguarding the integrity of spacecraft systems. Therefore, the timely detection and subsequent notification of any abnormal events related to the funct…
View article: A Comparative Study of Unsupervised Machine Learning Methods for Anomaly Detection in Flight Data: Case Studies from Real-World Flight Operations
A Comparative Study of Unsupervised Machine Learning Methods for Anomaly Detection in Flight Data: Case Studies from Real-World Flight Operations Open
This paper provides a comparative study of unsupervised machine learning (ML) methods for anomaly detection in flight data monitoring (FDM). The study applies various unsupervised ML techniques to real-world flight data and compares the re…
View article: Update on TWOCRYST: the feasibility of double-crystal fixed-target experiments at the LHC
Update on TWOCRYST: the feasibility of double-crystal fixed-target experiments at the LHC Open
A setup of two bent crystals and a fixed target in the CERN Large Hadron Collider (LHC) could enable the study of the magnetic (MDM) and electric (EDM) dipole moments of short-lived charm baryons with unprecedented accuracy. At the core of…
View article: Artificial intelligence for advancing particle accelerators
Artificial intelligence for advancing particle accelerators Open
Artificial intelligence is increasingly shaping the way we think, design, build and operate present and future particle accelerators for science discovery and society.
View article: Urban Growth in a Mediterranean Island-State: A Data-Driven Study of Malta’s Development Permits in the Last Thirty Years
Urban Growth in a Mediterranean Island-State: A Data-Driven Study of Malta’s Development Permits in the Last Thirty Years Open
Land is a natural resource, and settlement development is central for human activities. The growth of settlements comes at the expense of natural and agricultural land. Understanding urban growth dynamics, defined in this study as new urba…
View article: Monitoring the sediment dynamics of Maltese beaches. The SIPOBED project and its future challenges.
Monitoring the sediment dynamics of Maltese beaches. The SIPOBED project and its future challenges. Open
Pocket beaches are small beaches bounded by natural promontories, free from direct sedimentary inputs other than those coming from the erosion of their cliffs.Malta's pocket beaches are one of the most significant geomorphological features…
View article: Evaluating Characteristics of an Active Coastal Spreading Area Combining Geophysical Data with Satellite, Aerial, and Unmanned Aerial Vehicles Images
Evaluating Characteristics of an Active Coastal Spreading Area Combining Geophysical Data with Satellite, Aerial, and Unmanned Aerial Vehicles Images Open
The northern region of the Maltese archipelago is experiencing lateral spreading landslide processes. This region is characterized by cliffs with a hard coralline limestone outcropping layer sitting on a thick layer of clay. Such a geologi…
View article: Satellite Investigation to study POcket BEach Dynamics in Malta. The SIPOBED project
Satellite Investigation to study POcket BEach Dynamics in Malta. The SIPOBED project Open
Pocket Beaches are small beaches limited by natural headlands, strongly jutting into the sea, free from direct sedimentary contributions that are not eroded from back-shore cliffs. Malta’s pocket beaches are one of the most significa…
View article: Multitemporal and multispectral data fusion for super-resolution of Sentinel-2 images
Multitemporal and multispectral data fusion for super-resolution of Sentinel-2 images Open
Multispectral Sentinel-2 images are a valuable source of Earth observation data, however spatial resolution of their spectral bands limited to 10 m, 20 m, and 60 m ground sampling distance remains insufficient in many cases. This problem c…
View article: Use of UAVs and Deep Learning for Beach Litter Monitoring
Use of UAVs and Deep Learning for Beach Litter Monitoring Open
Stranded beach litter is a ubiquitous issue. Manual monitoring and retrieval can be cost and labour intensive. Therefore, automatic litter monitoring and retrieval is an essential mitigation strategy. In this paper, we present important fo…
View article: Hybrid Machine Learning–Statistical Method for Anomaly Detection in Flight Data
Hybrid Machine Learning–Statistical Method for Anomaly Detection in Flight Data Open
This paper investigates the use of an unsupervised hybrid statistical–local outlier factor algorithm to detect anomalies in time-series flight data. Flight data analysis is an activity carried out by airlines primarily as a means of improv…
View article: Application of reinforcement learning in the LHC tune feedback
Application of reinforcement learning in the LHC tune feedback Open
The Beam-Based Feedback System (BBFS) was primarily responsible for correcting the beam energy, orbit and tune in the CERN Large Hadron Collider (LHC). A major code renovation of the BBFS was planned and carried out during the LHC Long Shu…
View article: Automated segmentation of microtomography imaging of Egyptian mummies
Automated segmentation of microtomography imaging of Egyptian mummies Open
Propagation Phase Contrast Synchrotron Microtomography (PPC-SRμCT) is the gold standard for non-invasive and non-destructive access to internal structures of archaeological remains. In this analysis, the virtual specimen needs to be segmen…
View article: Beam Measurements and Machine Learning at the CERN Large Hadron Collider
Beam Measurements and Machine Learning at the CERN Large Hadron Collider Open
Particle accelerators are among the most complex instruments conceived by physicists for the exploration of the fundamental laws of nature. Of relevance for particle physics are the high-energy colliders, such as the CERN Large Hadron Coll…
View article: Beam Measurements and Machine Learning at the CERN Large Hadron Collider
Beam Measurements and Machine Learning at the CERN Large Hadron Collider Open
This paper presents a review of the recent Machine Learning activities carried out on beam measurements performed at the CERN Large Hadron Collider. This paper has been accepted for publication in IEEE Instrumentation and Measurement Magaz…
View article: MD2191 – β∗–Reach: 2017 IR7 Collimation Hierarchy Limit and Impedance
MD2191 – β∗–Reach: 2017 IR7 Collimation Hierarchy Limit and Impedance Open
This report summarises the results of MD2191 about the hierarchy limit of the LHC collimation system in IR7 at 6.5 TeV and its impedance. The activity was carried out during MD block 3 of 2017, on the night between 17th and 18th September.…
View article: Vision-Based Tunnel Lining Health Monitoring via Bi-Temporal Image Comparison and Decision-Level Fusion of Change Maps
Vision-Based Tunnel Lining Health Monitoring via Bi-Temporal Image Comparison and Decision-Level Fusion of Change Maps Open
Tunnel structural health inspections are predominantly done through periodic visual observations, requiring humans to be physically present on-site, possibly exposing them to hazardous environments. These surveys are subjective (relying on…
View article: A Machine Learning Approach for the Tune Estimation in the LHC
A Machine Learning Approach for the Tune Estimation in the LHC Open
The betatron tune in the Large Hadron Collider (LHC) is measured using a Base-Band Tune (BBQ) system. The processing of these BBQ signals is often perturbed by 50 Hz noise harmonics present in the beam. This causes the tune measurement alg…
View article: A Machine Learning Approach for the Tune Estimation in the LHC
A Machine Learning Approach for the Tune Estimation in the LHC Open
The betatron tune in the Large Hadron Collider (LHC) is measured using a Base-Band Tune (BBQ) system. The processing of these BBQ signals is often perturbed by 50 Hz noise harmonics present in the beam. This causes the tune measurement alg…
View article: First observation of ion beam channeling in bent crystals at multi-TeV energies
First observation of ion beam channeling in bent crystals at multi-TeV energies Open
Planar channeling in bent crystals has been observed in LHC with multi-TeV proton beam in 2015. Two crystals, mounted on novel high-accuracy goniometers (one in the horizontal and one in the vertical plane), are integrated in the LHC colli…
View article: Machine Learning Applied to the Analysis of Nonlinear Beam Dynamics Simulations for the CERN Large Hadron Collider and Its Luminosity Upgrade
Machine Learning Applied to the Analysis of Nonlinear Beam Dynamics Simulations for the CERN Large Hadron Collider and Its Luminosity Upgrade Open
A Machine Learning approach to scientific problems has been in use in Science and Engineering for decades. High-energy physics provided a natural domain of application of Machine Learning, profiting from these powerful tools for the advanc…