CALABRESE, FRANCESCA

CALABRESE, FRANCESCA  

DIPARTIMENTO DI INGEGNERIA INDUSTRIALE  

Dottorandi  

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Risultati 1 - 20 di 26 (tempo di esecuzione: 0.059 secondi).
Titolo Autore(i) Anno Periodico Editore Tipo File
A Data-Driven Approach to Predict Supply Chain Risk Due to Suppliers’ Partial Shipments Gabellini, Matteo; Calabrese, Francesca; Civolani, Lorenzo; Regattieri, Alberto; Mora, Cristina 2024-01-01 - Springer Science and Business Media Deutschland GmbH 2.01 Capitolo / saggio in libro -
A Deep Learning Approach to Predict Supply Chain Delivery Delay Risk Based on Macroeconomic Indicators: A Case Study in the Automotive Sector Gabellini M.; Civolani L.; Calabrese F.; Bortolini M. 2024-01-01 APPLIED SCIENCES - 1.01 Articolo in rivista applsci-14-04688-v2.pdf
A Heuristic Approach to Design a Crowd-Based Last-Mile Delivery Network Bortolini M.; Calabrese F.; Ferrari E.; Galizia F.G.; Naldi L.D. 2024-01-01 - Springer Science and Business Media Deutschland GmbH 2.01 Capitolo / saggio in libro -
A hybrid approach integrating genetic algorithm and machine learning to solve the order picking batch assignment problem considering learning and fatigue of pickers Gabellini M.; Calabrese F.; Regattieri A.; Loske D.; Klumpp M. 2024-01-01 COMPUTERS & INDUSTRIAL ENGINEERING - 1.01 Articolo in rivista 1-s2.0-S0360835224002961-main (2).pdf
A cross‐sectorial review of industrial best practices and case histories on Industry 4.0 technologies Galizia, Francesco Gabriele; Bortolini, Marco; Calabrese, Francesca 2023-01-01 SYSTEMS ENGINEERING - 1.01 Articolo in rivista Systems Engineering - 2023 - Galizia - A cross‐sectorial review of industrial best practices and case histories on Industry.pdf
A Data Model for Predictive Supply Chain Risk Management Gabellini M.; Civolani L.; Regattieri A.; Calabrese F. 2023-01-01 - - 4.01 Contributo in Atti di convegno -
A two-step methodology for product platform design and assessment in high-variety manufacturing Bortolini M.; Calabrese F.; Galizia F.G.; Regattieri A. 2023-01-01 INTERNATIONAL JOURNAL, ADVANCED MANUFACTURING TECHNOLOGY - 1.01 Articolo in rivista A two‑step methodology for product platform design and assessment in high‑variety manufacturing.pdf
Condition Monitoring of CNC machines: machining process classification through Temporal Convolutional Networks Calabrese F.; Regattieri A.; Gabellini M.; Caporale A.; Epifania P. 2023-01-01 - International Society of Science and Applied Technologies 4.01 Contributo in Atti di convegno -
Optimizing Makespan in Single-Model Assembly Lines with Human-Robot Collaboration Caporale A.; Galizia F.G.; Calabrese F.; Bortolini M.; Mora C.; Ferrari E. 2023-01-01 - Springer Science and Business Media Deutschland GmbH 2.01 Capitolo / saggio in libro -
A three-objective optimization model for mid-term sustainable supply chain network design Bortolini M.; Calabrese F.; Galizia F.G.; Mora C. 2022-01-01 COMPUTERS & INDUSTRIAL ENGINEERING - 1.01 Articolo in rivista CAIE.pdf
Crowd Logistics: A Survey of Successful Applications and Implementation Potential in Northern Italy Bortolini M.; Calabrese F.; Galizia F.G. 2022-01-01 SUSTAINABILITY - 1.01 Articolo in rivista Crowd Logistics A survey of successful applications and implementation potential in northern Italy.pdf
Data-Driven Fault Detection and Diagnosis: Challenges and Opportunities in Real-World Scenarios Calabrese, F; Regattieri, A; Bortolini, M; Galizia, FG 2022-01-01 APPLIED SCIENCES - 1.01 Articolo in rivista Data-Driven Fault Detection and Diagnosis Challenges and Opportunities in Real-World Scenarios.pdf
Data-Driven Predictive Maintenance in Evolving Environments: A Comparison Between Machine Learning and Deep Learning for Novelty Detection Del Buono F.; Calabrese F.; Baraldi A.; Paganelli M.; Regattieri A. 2022-01-01 - Springer Science and Business Media Deutschland GmbH 4.01 Contributo in Atti di convegno -
Fault Diagnosis in Industries: How to Improve the Health Assessment of Rotating Machinery Calabrese F.; Regattieri A.; Bortolini M.; Galizia F.G. 2022-01-01 - Springer Science and Business Media Deutschland GmbH 2.01 Capitolo / saggio in libro -
Genetic Programming-Based Feature Construction for System Setting Recognition and Component-Level Prognostics Calabrese F.; Regattieri A.; Galizia F.G.; Piscitelli R.; Bortolini M. 2022-01-01 APPLIED SCIENCES - 1.01 Articolo in rivista Genetic programming-based feature construction for system setting recognition and component-level prognostics.pdf
Industry 4.0 Technologies: A Cross-sector Industry-Based Analysis Bortolini M.; Calabrese F.; Galizia F.G.; Mora C.; Ventura V. 2022-01-01 - Springer Science and Business Media Deutschland GmbH 2.01 Capitolo / saggio in libro -
Novelty Detection with Autoencoders for System Health Monitoring in Industrial Environments Del Buono F.; Calabrese F.; Baraldi A.; Paganelli M.; Guerra F. 2022-01-01 APPLIED SCIENCES - 1.01 Articolo in rivista applsci-12-04931.pdf
Feature-based multi-class classification and novelty detection for fault diagnosis of industrial machinery Calabrese F.; Regattieri A.; Bortolini M.; Galizia F.G.; Visentini L. 2021-01-01 APPLIED SCIENCES - 1.01 Articolo in rivista Feature-based multi-class classification and novelty detection for fault diagnosis of industrial machinery.pdf
Predictive maintenance: a novel framework for a data-driven, semi-supervised, and partially online prognostic health management application in industries Calabrese F.; Regattieri A.; Bortolini M.; Gamberi M.; Pilati F. 2021-01-01 APPLIED SCIENCES - 1.01 Articolo in rivista Predictive maintenance a novel framework for a data-driven, semi-supervised, and partially online Prognostic Health Management application in industries.pdf
From raw data to information for a continuous supervision of machinery in dynamic industrial environments: A case study Calabrese F.; Ferrari E.; Lelli G.; Regattieri A. 2020-01-01 ...SUMMER SCHOOL FRANCESCO TURCO. PROCEEDINGS AIDI - Italian Association of Industrial Operations Professors 4.01 Contributo in Atti di convegno -