2020
DOI: 10.3390/app10020714
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Managing a Smart City Integrated Model through Smart Program Management

Abstract: Context. A Smart city is intended as a city able to offer advanced integrated services, based on information and communication technology (ICT) technologies and intelligent (smart) use of urban infrastructures for improving the quality of life of its citizens. This goal is pursued by numerous cities worldwide, through smart projects that should contribute to the realization of an integrated vision capable of harmonizing the technologies used and the services developed in various application domains on which a … Show more

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Cited by 36 publications
(19 citation statements)
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“…Many industries can apply CIM, including but not limited to the construction [55], urban planning [51,53,54], energy [56,57], and culture industries [50]. However, the absence of some industries leads to data silos in CIM, limiting the application of CIM [86,87]. Collaborative design can efficiently break down data silos [88,89], and thus, is required for creating CIM platforms.…”
Section: Management Issuesmentioning
confidence: 99%
“…Many industries can apply CIM, including but not limited to the construction [55], urban planning [51,53,54], energy [56,57], and culture industries [50]. However, the absence of some industries leads to data silos in CIM, limiting the application of CIM [86,87]. Collaborative design can efficiently break down data silos [88,89], and thus, is required for creating CIM platforms.…”
Section: Management Issuesmentioning
confidence: 99%
“…Barletta et al [7] propose a smart city integrated model together with a smart program management approach to manage interdependencies between project, strategy, and execution. Authors investigate the potential benefits that derive from using them.…”
Section: Smart City Managementmentioning
confidence: 99%
“…The future of quick and efficient disease diagnosis lays in the development of reliable non-invasive methods [ 17 ] also through the use of artificial intelligence techniques. Artificial neural networks and deep learning architectures have recently found broad application [ 18 ] achieving striking success in different domains such as image classification [ 19 , 20 , 21 , 22 , 23 , 24 ], speech recognition [ 25 ], intrusion detection systems [ 26 , 27 ], smart city [ 28 ], or biological studies [ 29 , 30 ].…”
Section: Introductionmentioning
confidence: 99%