18 citations · 19 across the 4 of their papers we have counts for
4 papers
A general framework for disturbance compensation in airborne and seaborne gravimetry supported by machine learning
Lorenzo Iafolla, Massimo Chiappini, Roberto Carluccio +6
High-accuracy measurement systems operating in complex operational environments, such as airborne and seaborne gravimetry, are severely affected by interacting external influences…
Sea wave data reconstruction using micro-seismic measurements and machine learning methods
Lorenzo Iafolla, Emiliano Fiorenza, Massimo Chiappini +2
Sea wave monitoring is key in many applications in oceanography such as the validation of weather and wave models. Conventional in situ solutions are based on moored buoys whose me…
Pipeline for Advanced Contrast Enhancement (PACE) of chest X-ray in evaluating COVID-19 patients by combining bidimensional empirical mode decomposition and CLAHE
Giulio Siracusano, Aurelio La Corte, Michele Gaeta +3
COVID-19 is a new pulmonary disease which is driving stress to the hospitals due to the large number of cases worldwide. Imaging of lungs can play a key role in monitoring of the h…
Automatic crack classification by exploiting statistical event descriptors for Deep Learning
Giulio Siracusano, Francesca Garescì, Giovanni Finocchio +6
In modern building infrastructures, the chance to devise adaptive and unsupervised data-driven health monitoring systems is gaining in popularity due to the large availability of b…