Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Massimo De Falco"'
Publikováno v:
Mathematics, Vol 12, Iss 10, p 1543 (2024)
In this paper, attention is focused on the analysis and optimization of energy flows in networked systems via a fluid-dynamic approach. Considering the real case of an energy hub, the proposed model deals with conservation laws on arcs and linear pro
Externí odkaz:
https://doaj.org/article/333abb4c88ca476b96a82a4a7fe9de27
Autor:
Nadia De Falco, Giuseppe Santangelo, Fabrizio Chirico, Angelo Cangiano, Maria Giulia Sommella, Angelo Cosenza, Andrea Ronchi, Marina Accardo, Gianluca Pellino, Domenico Parmeggiani, Silvestro Canonico, Massimo De Falco
Publikováno v:
BMC Endocrine Disorders, Vol 21, Iss 1, Pp 1-8 (2021)
Abstract Background Parathyroid carcinoma is a rare endocrine malignancy, rarer when synchronous with a non medullary well differentiated thyroid carcinoma. Parathyroid carcinoma accounts of 0.005% of all malignant tumors and it is responsible for le
Externí odkaz:
https://doaj.org/article/28d4fc43add94fb9b57b9ba3cddea428
Autor:
Massimo de Falco, Nicola Mastrandrea
Publikováno v:
Journal of Renewable Energy, Vol 2014 (2014)
The increasing amount of renewable energy currently being added to distribution networks presents new challenges and opportunities to system operators. This situation further complicates the operators’ tasks in dealing with changing net loads and b
Externí odkaz:
https://doaj.org/article/d8c8b2d09e094f55894317fd55ec0977
Autor:
Angelo Cangiano, Silvestro Canonico, Massimo De Falco, Gianluca Pellino, Nadia De Falco, Maria Giulia Sommella, Giuseppe Santangelo, Marina Accardo, Fabrizio Chirico, Domenico Parmeggiani, A Cosenza, Andrea Ronchi
Publikováno v:
BMC Endocrine Disorders, Vol 21, Iss 1, Pp 1-8 (2021)
BMC Endocrine Disorders
BMC Endocrine Disorders
Background Parathyroid carcinoma is a rare endocrine malignancy, rarer when synchronous with a non medullary well differentiated thyroid carcinoma. Parathyroid carcinoma accounts of 0.005% of all malignant tumors and it is responsible for less than 1
Cloud manufacturing (CM) is a challenging scenario in the fourth stage of industrial production (i.e. Industry 4.0). In this context, the fusion of physical and virtual worlds in cyber-physical production systems transforms manufacturing resources in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4fe424facf54ba992a8e4a9a11703821
https://hdl.handle.net/11386/4747562
https://hdl.handle.net/11386/4747562
Publikováno v:
CogSIMA
E-learning is becoming increasingly popular among learners of any age, thanks to its many advantages related to the possibility to learn anywhere and anytime and the low costs. Despite this success and diffusion, the student dropout rate of e-learnin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ba67bd5fffb3038237aed85085d95eb
http://hdl.handle.net/11386/4751342
http://hdl.handle.net/11386/4751342
Publikováno v:
FUZZ-IEEE
The lack of motivation and engagement is recognized as one of the main causes of learners dropping out of e-learning systems. In this paper, an Adaptive Learning System, based on the principles of situation awareness, is proposed to tackle such an is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49533d0f5a33c83c809e7b93ab913e9c
http://hdl.handle.net/11386/4750086
http://hdl.handle.net/11386/4750086
Among future manufacturing systems, we are going to see networks of intelligent and autonomous entities sharing manufacturing resources, knowledge and information. Possible advantages are relevant, such as increasing overall production efficiency and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::214dde0f27ef3bbde9dac8ba804b7d88
http://hdl.handle.net/11386/4734985
http://hdl.handle.net/11386/4734985
Publikováno v:
2018 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS).
The increasing complexity of cyber-physical systems demands for always more sophisticated approaches to the environmental and structural monitoring of both internal and external environments. In such circumstances, the data gathered by physical senso
Publikováno v:
AIRO Springer Series ISBN: 9783030004729
The paper considers simulation results for a supply network, that deals with Extra Virgin Olive (EVO) oil production, an activity that is typical of Southern Italy. The phenomenon is studied by differential equations, that focus on goods on arcs and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d5861c73290b311728dfef5be77a862
http://hdl.handle.net/11386/4720172
http://hdl.handle.net/11386/4720172