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A. Beghi · SciRah

Researcher profile · Semantic Scholar

A. Beghi

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A. Beghi — researcher profile on SciRah

h-index: 34
Works: 235
Citations: 4,338

Most-cited papers

Machine Learning for Predictive Maintenance: A Multiple Classifier Approach
Gian Antonio Susto, A. Schirru, S. Pampuri, S. McLoone +1 more
2015IEEE Transactions on Industrial Informatics751 citations Open access
Semantic Scholar
Data-driven Fault Detection and Diagnosis for HVAC water chillers
A. Beghi, R. Brignoli, L. Cecchinato, G. Menegazzo +2 more
2016185 citations
Semantic Scholar
Explainable Machine Learning in Industry 4.0: Evaluating Feature Importance in Anomaly Detection to Enable Root Cause Analysis
Mattia Carletti, Chiara Masiero, A. Beghi, Gian Antonio Susto
2019IEEE International Conference on Systems, Man and Cybernetics81 citations
Semantic Scholar
A Convolutional Autoencoder Approach for Feature Extraction in Virtual Metrology
Marco Maggipinto, Chiara Masiero, A. Beghi, Gian Antonio Susto
201881 citations Open access
Semantic Scholar
Anomaly Detection Approaches for Semiconductor Manufacturing
Gian Antonio Susto, M. Terzi, A. Beghi
201779 citations Open access
Semantic Scholar
MATMPC - A MATLAB Based Toolbox for Real-time Nonlinear Model Predictive Control
Yu-Tao Chen, M. Bruschetta, Enrico Picotti, A. Beghi
2018European Control Conference71 citations Open access
Semantic Scholar
Anomaly Detection through on-line Isolation Forest: An application to plasma etching
Gian Antonio Susto, A. Beghi, S. McLoone
2017International Convention on Information and Communication Technology, Electronics and Microelectronics57 citations Open access
Semantic Scholar
A Computer Vision-Inspired Deep Learning Architecture for Virtual Metrology Modeling With 2-Dimensional Data
Marco Maggipinto, M. Terzi, Chiara Masiero, A. Beghi +1 more
2018IEEE transactions on semiconductor manufacturing53 citations
Semantic Scholar
A Deep Convolutional Autoencoder-Based Approach for Anomaly Detection With Industrial, Non-Images, 2-Dimensional Data: A Semiconductor Manufacturing Case Study
Marco Maggipinto, A. Beghi, Gian Antonio Susto
2022IEEE Transactions on Automation Science and Engineering45 citations
Semantic Scholar
DeepVM: A Deep Learning-based approach with automatic feature extraction for 2D input data Virtual Metrology
Marco Maggipinto, A. Beghi, S. McLoone, Gian Antonio Susto
2019Journal of Process Control44 citations Open access
Semantic Scholar
A Nonlinear, MPC-Based Motion Cueing Algorithm for a High-Performance, Nine-DOF Dynamic Simulator Platform
M. Bruschetta, Fabio Maran, A. Beghi
2017IEEE Transactions on Control Systems Technology42 citations
Semantic Scholar
Dealing with time-series data in Predictive Maintenance problems
Gian Antonio Susto, A. Beghi
2016IEEE International Conference on Emerging Technologies and Factory Automation41 citations
Semantic Scholar
A hidden-Gamma model-based filtering and prediction approach for monotonic health factors in manufacturing
Gian Antonio Susto, A. Schirru, S. Pampuri, A. Beghi +1 more
201840 citations Open access
Semantic Scholar
Graph-based modelling and simulation of liquid immersion cooling systems
Michele Lionello, M. Rampazzo, A. Beghi, Damiano Varagnolo +1 more
202037 citations
Semantic Scholar
A fast implementation of MPC-based motion cueing algorithms for mid-size road vehicle motion simulators
M. Bruschetta, Fabio Maran, A. Beghi
201737 citations
Semantic Scholar
A Self-Tuning KPCA-Based Approach to Fault Detection in Chiller Systems
Francesco Simmini, M. Rampazzo, Fabio Peterle, G. Susto +1 more
2022IEEE Transactions on Control Systems Technology34 citations
Semantic Scholar
An Efficient Move Blocking Strategy for Multiple Shooting based Nonlinear Model Predictive Control
Yu-Tao Chen, N. Scarabottolo, M. Bruschetta, A. Beghi
2019IET Control Theory & Applications34 citations Open access
Semantic Scholar
FORMULA: A Deep Learning Approach for Rare Alarms Predictions in Industrial Equipment
Davide Dalle Pezze, Chiara Masiero, Diego Tosato, A. Beghi +1 more
2022IEEE Transactions on Automation Science and Engineering33 citations
Semantic Scholar
Modelling and control of a free cooling system for Data Centers
A. Beghi, L. Cecchinato, Giuseppe Dalla Mana, Michele Lionello +2 more
201732 citations Open access
Semantic Scholar
A static moving boundary modelling approach for simulation of indirect evaporative free cooling systems
M. Rampazzo, Michele Lionello, A. Beghi, Enrico Sisti +1 more
2019Applied Energy31 citations
Semantic Scholar
A deep learning approach for anomaly detection with industrial time series data: a refrigerators manufacturing case study
Mattia Carletti, Chiara Masiero, A. Beghi, Gian Antonio Susto
2019Procedia Manufacturing30 citations Open access
Semantic Scholar
A Nonlinear Model-Predictive Contouring Controller for Shared Control Driving Assistance in High-Performance Scenarios
Enrico Picotti, M. Bruschetta, Enrico Mion, A. Beghi
2023IEEE Transactions on Systems, Man & Cybernetics. Systems24 citations Open access
Semantic Scholar
Deep Learning-based Production Forecasting in Manufacturing: a Packaging Equipment Case Study
L. Brunelli, Chiara Masiero, Diego Tosato, A. Beghi +1 more
2019Procedia Manufacturing24 citations Open access
Semantic Scholar
An Adaptive Partial Sensitivity Updating Scheme for Fast Nonlinear Model Predictive Control
Yu-Tao Chen, M. Bruschetta, D. Cuccato, A. Beghi
2018IEEE Transactions on Automatic Control24 citations Open access
Semantic Scholar
A real-time, MPC-based Motion Cueing Algorithm with Look-Ahead and driver characterization
M. Bruschetta, C. Cenedese, A. Beghi
2017Transportation Research Part F: Traffic Psychology and Behaviour23 citations
Semantic Scholar
Energy-efficient operation of transcritical and subcritical CO2 inverse cycles via Extremum Seeking Control
M. Rampazzo, A. Cervato, Chiara Corazzol, L. Mattiello +3 more
2019Journal of Process Control19 citations
Semantic Scholar
A Motion Cueing Algorithm With Look-Ahead and Driver Characterization: Application to Vertical Car Dynamics
M. Bruschetta, C. Cenedese, A. Beghi, Fabio Maran
2018IEEE Transactions on Human-Machine Systems18 citations
Semantic Scholar
Remote refrigeration system experiments for control engineering education
M. Rampazzo, A. Cervato, A. Beghi
2017Computer Applications in Engineering Education16 citations
Semantic Scholar
A Multi-label Continual Learning Framework to Scale Deep Learning Approaches for Packaging Equipment Monitoring
Davide Dalle Pezze, Denis Deronjic, Chiara Masiero, Diego Tosato +2 more
2022Engineering applications of artificial intelligence15 citations Open access
Semantic Scholar
A Deep Learning-based Approach to Anomaly Detection with 2-Dimensional Data in Manufacturing
Marco Maggipinto, A. Beghi, Gian Antonio Susto
2019International Conference on Industrial Informatics15 citations
Semantic Scholar
Model-based fault detection and diagnosis for centrifugal chillers
A. Beghi, L. Cecchinato, Fabio Peterle, M. Rampazzo +1 more
2016Conference on Control and Fault Tolerant Systems15 citations
Semantic Scholar
Virtual prototyping of embedded control software in mechatronic systems: A case study
A. Beghi, F. Marcuzzi, Paolo Martin, F. Tinazzi +1 more
201714 citations Open access
Semantic Scholar
Machine Learning-Based Soft Sensors for the Estimation of Laundry Moisture Content in Household Dryer Appliances
Giuliano Zambonin, Fabio Altinier, A. Beghi, Leandro dos Santos Coelho +5 more
2019Energies13 citations Open access
Semantic Scholar
Designing and teaching of an effective engineering continuing education course: Modeling and simulation of HVAC systems
M. Rampazzo, A. Beghi
2018Computer Applications in Engineering Education13 citations
Semantic Scholar
Optimal operational efficiency of chillers using oil-free centrifugal compressors
Marco Lissandrin, M. Rampazzo, L. Cecchinato, A. Beghi
201713 citations
Semantic Scholar
Deep learning for virtual metrology: Modeling with optical emission spectroscopy data
M. Terzi, Chiara Masiero, A. Beghi, Marco Maggipinto +1 more
2017International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow13 citations
Semantic Scholar
An inexact sensitivity updating scheme for fast nonlinear model predictive control based on a curvature-like measure of nonlinearity
Yu-Tao Chen, D. Cuccato, M. Bruschetta, A. Beghi
2017IEEE Conference on Decision and Control13 citations
Semantic Scholar
Control of Second Order Processes with Dead Time: the Predictive PID Solutions
Fabio Peterle, M. Rampazzo, A. Beghi
201812 citations Open access
Semantic Scholar
A Learning-Based Nonlinear Model Predictive Controller for a Real Go-Kart Based on Black-Box Dynamics Modeling Through Gaussian Processes
Enrico Picotti, Enrico Mion, A. D. Libera, J. Pavlović +4 more
2023IEEE Transactions on Control Systems Technology10 citations Open access
Semantic Scholar
ALARM LOGS IN PACKAGING INDUSTRY (ALPI)
Davide Dalle Pezze, Diego Tosato, Chiara Masiero, Gian Antonio Susto +1 more
202110 citations
Semantic Scholar
A Nonlinear Model Predictive Control based Virtual Driver for high performance driving
M. Bruschetta, Enrico Picotti, Enrico Mion, Yu-Tao Chen +2 more
2019Conference on Control Technology and Applications10 citations
Semantic Scholar
A Soft Sensing Approach for Clothes Load Estimation in Consumer Washing Machines
Gian Antonio Susto, Giuliano Zambonin, Fabio Altinier, E. Pesavento +1 more
2018Conference on Control Technology and Applications10 citations
Semantic Scholar
Reinforcement Learning Control of Transcritical Carbon Dioxide Supermarket Refrigeration Systems
A. Beghi, M. Rampazzo, S. Zorzi
201710 citations Open access
Semantic Scholar
Modelling, simulation and real-time control of a laboratory tide generation system
M. Rampazzo, D. Tognin, Martina Pagan, L. Carniello +1 more
2019Control Engineering Practice9 citations
Semantic Scholar
Soft Sensors for Estimating Laundry Weight in Household Heat Pump Tumble Dryers
Giuliano Zambonin, Fabio Altinier, Lorenzo Corso, Mattia Sessolo +2 more
20182018 IEEE 14th International Conference on Automation Science and Engineering (CASE)9 citations
Semantic Scholar
AutoSS: A Deep Learning-Based Soft Sensor for Handling Time-Series Input Data
Nicolò Bargellesi, A. Beghi, M. Rampazzo, G. Susto
2021IEEE Robotics and Automation Letters8 citations
Semantic Scholar
A Machine Learning-based Soft Sensor for Laundry Load Fabric Typology Estimation in Household Washer-Dryers
Gian Antonio Susto, L. Vettore, Giuliano Zambonin, Fabio Altinier +4 more
2019IFAC-PapersOnLine8 citations Open access
Semantic Scholar
A fast Nonlinear Model Predictive Control strategy for real-time motion control of mechanical systems
Yu-Tao Chen, D. Cuccato, M. Bruschetta, A. Beghi
2017IEEE International Conference on Advanced Intelligent Mechatronics8 citations
Semantic Scholar
A Virtual Laboratory for the Prototyping of Cyber-Physical Systems
A. Beghi, F. Marcuzzi, M. Rampazzo
20168 citations Open access
Semantic Scholar
A Remote Refrigeration Laboratory for Control Engineering Education
A. Beghi, A. Cervato, M. Rampazzo
20158 citations Open access
Semantic Scholar

Frequent co-authors

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Gian Antonio Susto×20
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Gian Antonio Susto — researcher profile on SciRah
M. Rampazzo×18
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M. Rampazzo — researcher profile on SciRah
M. Bruschetta×12
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M. Bruschetta — researcher profile on SciRah
Chiara Masiero×9
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L. Cecchinato — researcher profile on SciRah

Marco Maggipinto×6

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Enrico Picotti×4

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Diego Tosato×4

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Giuliano Zambonin×4

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Fabio Altinier×4

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S. McLoone — researcher profile on SciRah