18 citations · 25 across the 5 of their papers we have counts for
3 papers · 1 filter
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…
Temperature compensation in high accuracy accelerometers using multi-sensor and machine learning methods
Lorenzo Iafolla, Francesco Santoli, Roberto Carluccio +8
Temperature is a major source of inaccuracy in high-sensitivity accelerometers and gravimeters. Active thermal control systems require power and may not be ideal in some contexts s…