Publications

Massimo DE FALCO Publications


2020
Abstract in Atti di convegno
The implementation of "APEA" through economic evaluation model.
In: Atti del XXIX Congresso Nazionale di Scienze Merceologiche. Le Scienze Merceologiche nell’era 4.0 Milano Franco Angeli Pag.691-701
ISBN:978-88-351-0527-5
Atti del XXIX Congresso Nazionale di Scienze Merceologiche. Le Scienze Merceologiche nell’era 4.0
Salerno 13-14
Sessa, Maria Rosaria; Esposito, Benedetta; Sica, Daniela; Malandrino, Ornella; De Falco, Massimo
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2020
Articolo in rivista
Designing a multi-agent system architecture for managing distributed operations within cloud manufacturing
EVOLUTIONARY INTELLIGENCE. Pag.1-8
ISSN:1864-5909.
D'Aniello, Giuseppe; De Falco, Massimo; Mastrandrea, Nicola
Digital Object Identifier (DOI): 10.1007/s12065-020-00390-z
Codice identificativo ISI: WOS:000522905700001
Codice identificativo SCOPUS: 2-s2.0-85082753543
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2020
Articolo in rivista
Integrating Capacity and Logistics of Large Additive Manufacturing Networks
PROCEDIA MANUFACTURING. Vol. 39. Pag.1421-1427
ISSN:2351-9789.
de Falco, Massimo; Mastrandrea, Nicola; Rarità, Luigi
Versione online
Digital Object Identifier (DOI): 10.1016/j.promfg.2020.01.310
Codice identificativo SCOPUS: 2-s2.0-85082759403
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2020
Contributo in Atti di convegno
Feedback generation using Fuzzy Cognitive Maps to reduce dropout in situation-aware e-Learning systems.
In: PROCEEDINGS 2020 IEEE International Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA) IEEE Pag.195-199
ISBN:978-1-7281-6001-6
2020 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA)
Victoria, BC, Canada 24-28 August 2020
D'Aniello, Giuseppe; de Falco, Massimo; Gaeta, Matteo; Lepore, Mario
Versione online
Digital Object Identifier (DOI): 10.1109/CogSIMA49017.2020.9216177
Codice identificativo ISI: WOS:000628978500029
Codice identificativo SCOPUS: 2-s2.0-85091295764
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2020
Contributo in Atti di convegno
A Situation-aware Learning System based on Fuzzy Cognitive Maps to increase Learner Motivation and Engagement.
In: Fuzzy Systems (FUZZ-IEEE), IEEE International Conference Institute of Electrical and Electronics Engineers Inc. Pag.1-8
ISBN:978-172816932-3
2020 IEEE International Conference on Fuzzy Systems, FUZZ 2020
Glasgow (UK) 19-24 July 2020
D'Aniello, Giuseppe; De Falco, Massimo; Gaeta, Matteo; Lepore, Mario
Versione online
Digital Object Identifier (DOI): 10.1109/FUZZ48607.2020.9177590
Codice identificativo ISI: WOS:000698733400058
Codice identificativo SCOPUS: 2-s2.0-85090500139
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