Zobrazeno 1 - 10
of 845
pro vyhledávání: '"Fatos Xhafa"'
Publikováno v:
Axioms, Vol 12, Iss 4, p 349 (2023)
In this paper, we present a novel framework for enriching time series data in smart cities by supplementing it with information from external sources via semantic data enrichment. Our methodology effectively merges multiple data sources into a unifor
Externí odkaz:
https://doaj.org/article/a87bc4c74f7647c8b7334f10faba750e
Publikováno v:
IEEE Access, Vol 9, Pp 5862-5869 (2021)
Saline water covers approximately 360000000 km2, approximately 71% of Earth’s surface and 90% of Earth’s biosphere. The ocean contains 97% of Earth’s water, and oceanographers have stated that less than 5% of the World Ocean has been explored.
Externí odkaz:
https://doaj.org/article/38b8586945344793b029ecfcabc33249
Autor:
Mohammad Peyman, Tristan Fluechter, Javier Panadero, Carles Serrat, Fatos Xhafa, Angel A. Juan
Publikováno v:
Sensors, Vol 23, Iss 1, p 499 (2023)
Vehicular ad hoc networks (VANETs) are a fundamental component of intelligent transportation systems in smart cities. With the support of open and real-time data, these networks of inter-connected vehicles constitute an ‘Internet of vehicles’ wit
Externí odkaz:
https://doaj.org/article/2209cb5fc3154bfe878444ca3f7abe53
Publikováno v:
Mathematics, Vol 10, Iss 6, p 982 (2022)
Transport activities and citizen mobility have a deep impact on enlarged smart cities. By analyzing Big Data streams generated through Internet of Things (IoT) devices, this paper aims to show the efficiency of using IoT analytics, as an agile optimi
Externí odkaz:
https://doaj.org/article/00a60921c26b4ca78d90ef24a74a0063
Autor:
Mohammad Peyman, Pedro J. Copado, Rafael D. Tordecilla, Leandro do C. Martins, Fatos Xhafa, Angel A. Juan
Publikováno v:
Energies, Vol 14, Iss 19, p 6309 (2021)
With the emergence of fog and edge computing, new possibilities arise regarding the data-driven management of citizens’ mobility in smart cities. Internet of Things (IoT) analytics refers to the use of these technologies, data, and analytical model
Externí odkaz:
https://doaj.org/article/ae29b941d1e44885af7e76292ce923f5
Publikováno v:
Applied Sciences, Vol 11, Iss 11, p 5058 (2021)
Food waste is currently a major challenge for the world. It is the precursor to several socioeconomic problems that are plaguing modern society. To counter and to, simultaneously, stand by the undernourished, surplus food redistribution has surfaced
Externí odkaz:
https://doaj.org/article/c6db52d55cce4d9ebb07c8aab9575f9c
Publikováno v:
Sensors, Vol 21, Iss 5, p 1589 (2021)
In face-to-face and online learning, emotions and emotional intelligence have an influence and play an essential role. Learners’ emotions are crucial for e-learning system because they promote or restrain the learning. Many researchers have investi
Externí odkaz:
https://doaj.org/article/1ad80c779ba441459b90941f4b890837
Autor:
Anjan Bandyopadhyay, Vikash Kumar Singh, Sajal Mukhopadhyay, Ujjwal Rai, Fatos Xhafa, Paul Krause
Publikováno v:
Sensors, Vol 20, Iss 23, p 6761 (2020)
In the Internet of Things (IoT) + Fog + Cloud architecture, with the unprecedented growth of IoT devices, one of the challenging issues that needs to be tackled is to allocate Fog service providers (FSPs) to IoT devices, especially in a game-theoreti
Externí odkaz:
https://doaj.org/article/04057f46ebf04412b9d9a8c4c0872f8e
Autor:
Fatos Xhafa, Xu An Wang
Publikováno v:
Journal of Algorithms & Computational Technology, Vol 10 (2016)
Externí odkaz:
https://doaj.org/article/731156d26d3c43fc81f0ff518eac63a4
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 11 (2015)
Externí odkaz:
https://doaj.org/article/be0693cfa8924ffd8cfa39d1aeceb2aa