CALABRESE, FRANCESCA
CALABRESE, FRANCESCA
DIPARTIMENTO DI INGEGNERIA INDUSTRIALE
Ricercatori a tempo determinato
A Data-Driven Approach to Predict Supply Chain Risk Due to Suppliers’ Partial Shipments
2024 Gabellini, Matteo; Calabrese, Francesca; Civolani, Lorenzo; Regattieri, Alberto; Mora, Cristina
A Heuristic Approach to Design a Crowd-Based Last-Mile Delivery Network
2024 Bortolini M.; Calabrese F.; Ferrari E.; Galizia F.G.; Naldi L.D.
A cross‐sectorial review of industrial best practices and case histories on Industry 4.0 technologies
2023 Galizia, Francesco Gabriele; Bortolini, Marco; Calabrese, Francesca
A Data Model for Predictive Supply Chain Risk Management
2023 Gabellini M.; Civolani L.; Regattieri A.; Calabrese F.
A two-step methodology for product platform design and assessment in high-variety manufacturing
2023 Bortolini M.; Calabrese F.; Galizia F.G.; Regattieri A.
Condition Monitoring of CNC machines: machining process classification through Temporal Convolutional Networks
2023 Calabrese F.; Regattieri A.; Gabellini M.; Caporale A.; Epifania P.
Optimizing Makespan in Single-Model Assembly Lines with Human-Robot Collaboration
2023 Caporale A.; Galizia F.G.; Calabrese F.; Bortolini M.; Mora C.; Ferrari E.
A three-objective optimization model for mid-term sustainable supply chain network design
2022 Bortolini M.; Calabrese F.; Galizia F.G.; Mora C.
Crowd Logistics: A Survey of Successful Applications and Implementation Potential in Northern Italy
2022 Bortolini M.; Calabrese F.; Galizia F.G.
Data-Driven Fault Detection and Diagnosis: Challenges and Opportunities in Real-World Scenarios
2022 Calabrese, F; Regattieri, A; Bortolini, M; Galizia, FG
Data-Driven Predictive Maintenance in Evolving Environments: A Comparison Between Machine Learning and Deep Learning for Novelty Detection
2022 Del Buono F.; Calabrese F.; Baraldi A.; Paganelli M.; Regattieri A.
Fault Diagnosis in Industries: How to Improve the Health Assessment of Rotating Machinery
2022 Calabrese F.; Regattieri A.; Bortolini M.; Galizia F.G.
Genetic Programming-Based Feature Construction for System Setting Recognition and Component-Level Prognostics
2022 Calabrese F.; Regattieri A.; Galizia F.G.; Piscitelli R.; Bortolini M.
Industry 4.0 Technologies: A Cross-sector Industry-Based Analysis
2022 Bortolini M.; Calabrese F.; Galizia F.G.; Mora C.; Ventura V.
Novelty Detection with Autoencoders for System Health Monitoring in Industrial Environments
2022 Del Buono F.; Calabrese F.; Baraldi A.; Paganelli M.; Guerra F.
Feature-based multi-class classification and novelty detection for fault diagnosis of industrial machinery
2021 Calabrese F.; Regattieri A.; Bortolini M.; Galizia F.G.; Visentini L.
Predictive maintenance: a novel framework for a data-driven, semi-supervised, and partially online prognostic health management application in industries
2021 Calabrese F.; Regattieri A.; Bortolini M.; Gamberi M.; Pilati F.
From raw data to information for a continuous supervision of machinery in dynamic industrial environments: A case study
2020 Calabrese F.; Ferrari E.; Lelli G.; Regattieri A.
Streaming-based feature extraction and clustering for condition detection in dynamic environments: an industrial case
2020 Francesca Calabrese, Alberto Regattieri, Francesco Pilati, Marco Bortolini
Unsupervised fault detection and prediction of remaining useful life for online prognostic health management of mechanical systems
2020 Calabrese F.; Regattieri A.; Botti L.; Mora C.; Galizia F.G.