Zobrazeno 1 - 10
of 133
pro vyhledávání: '"Daniel G. Costa"'
Autor:
José Miguel Ferreira, Daniel G. Costa
Publikováno v:
Smart Cities, Vol 7, Iss 4, Pp 1992-2014 (2024)
The safety of cyclists on city streets is a significant concern, particularly with the rising number of accidents in densely populated areas. Urban environments present numerous challenges, such as complex road networks and heavy traffic, which incre
Externí odkaz:
https://doaj.org/article/5753d8eb8943467286872b6154b1d49e
Autor:
Daniel G. Costa, Ivanovitch Silva, Morsinaldo Medeiros, João Carlos N. Bittencourt, Matheus Andrade
Publikováno v:
MethodsX, Vol 13, Iss , Pp 102880- (2024)
This paper presents a novel information generation methodology to support safer cycling patterns in urban environments, leveraging for that Large Language Models (LLMs), AI-based agents, and open geospatial data. By processing multiple files containi
Externí odkaz:
https://doaj.org/article/e72ab01fc8b64feabf68c7731fe00ffd
Publikováno v:
Smart Cities, Vol 7, Iss 1, Pp 662-679 (2024)
Flooding in urban areas is expected to become even more common due to climatic changes, putting pressure on cities to implement effective response measures. Practical mechanisms for assessing flood risk have become highly desired, but existing soluti
Externí odkaz:
https://doaj.org/article/9bb8c967f7aa480eb08d56a367567300
Publikováno v:
IEEE Access, Vol 12, Pp 102826-102850 (2024)
The urbanisation of the last century has created a significant demand for urban areas to deliver public services that are efficient, sustainable, and adaptable. This demand is further amplified by the anticipated impacts of climate change and the com
Externí odkaz:
https://doaj.org/article/3756d216be874dda8cb3f2e0359846ca
Autor:
Thaís Medeiros, Morsinaldo Medeiros, Mariana Azevedo, Marianne Silva, Ivanovitch Silva, Daniel G. Costa
Publikováno v:
Vehicles, Vol 5, Iss 4, Pp 1384-1399 (2023)
In the current scenario of fast technological advancement, increasingly characterized by widespread adoption of Artificial Intelligence (AI)-driven tools, the significance of autonomous systems like chatbots has been highlighted. Such systems, which
Externí odkaz:
https://doaj.org/article/b57b01f2e988452ebe781e2b71ab9dbc
Autor:
Mariana B. Azevedo, Thaís de A. de Medeiros, Morsinaldo de A. Medeiros, Ivanovitch Silva, Daniel G. Costa
Publikováno v:
Machine Learning with Applications, Vol 14, Iss , Pp 100498- (2023)
The adoption of face masks to halt the spread of airborne diseases has been recognized as an effective measure, being a significant resource to reduce new infections of different types of virus that affect the respiratory system. In this sense, the e
Externí odkaz:
https://doaj.org/article/67d09d3457854dcd8f6d837443696373
Publikováno v:
Sensors, Vol 24, Iss 9, p 2955 (2024)
Urban areas are undergoing significant changes with the rise of smart cities, with technology transforming how cities develop through enhanced connectivity and data-driven services. However, these advancements also bring new challenges, especially in
Externí odkaz:
https://doaj.org/article/a71a99950d784f5b90061e7f613dc561
Publikováno v:
Data in Brief, Vol 50, Iss , Pp 109593- (2023)
Emergency response plays a critical role in mitigating the impact of disasters and ensuring public safety. Understanding a city's capability for emergency response is vital for effective disaster management and urban planning. This paper describes a
Externí odkaz:
https://doaj.org/article/431ff011b4b54a739cfa6940f77d8990
Autor:
João Paulo Just Peixoto, Daniel G. Costa, Washington de J.S. da Franca Rocha, Paulo Portugal, Francisco Vasques
Publikováno v:
SoftwareX, Vol 23, Iss , Pp 101409- (2023)
CityZones is an online tool to support when computing risk zones in a city, which is performed by mathematically evaluating the emergency response capability of an urban area using real data. The tool allows users to define polygonal Areas of Interes
Externí odkaz:
https://doaj.org/article/e382a667ff3d41d6bc763ecab8f1c3d9
Publikováno v:
Sensors, Vol 24, Iss 2, p 358 (2024)
The accelerated development of technologies within the Internet of Things landscape has led to an exponential boost in the volume of heterogeneous data generated by interconnected sensors, particularly in scenarios with multiple data sources as in sm
Externí odkaz:
https://doaj.org/article/dc9f99084069427e8e7c9d090cd939be