Development of an IoT Based Systems to Mitigate the Impact of COVID-19 Pandemic in Smart Cities

Herath, H.M.R.P.; Karunasena, Gayani; Herath, H. M. W. T.

doi:10.1007/978-3-030-72065-0_16

Cited by 16 publications

(5 citation statements)

References 27 publications

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“…Implementing artificial intelligence (AI) in urban areas can significantly improve people's quality of life and revolutionize critical aspects of a smart city. According to various sources, including [19,142], AI can positively impact seven major domains: smart mobility, smart governance, smart education, smart economy, smart healthcare, smart environment, and smart living. The following sections are going to elaborate on the potential influence of AI in each of these domains.…”

Section: Potential Influence Of Ai On Smart Citiesmentioning

confidence: 99%

Integration of IoT-Enabled Technologies and Artificial Intelligence (AI) for Smart City Scenario: Recent Advancements and Future Trends

Alahi

Sukkuea

Tina

et al. 2023

Sensors

147

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As the global population grows, and urbanization becomes more prevalent, cities often struggle to provide convenient, secure, and sustainable lifestyles due to the lack of necessary smart technologies. Fortunately, the Internet of Things (IoT) has emerged as a solution to this challenge by connecting physical objects using electronics, sensors, software, and communication networks. This has transformed smart city infrastructures, introducing various technologies that enhance sustainability, productivity, and comfort for urban dwellers. By leveraging Artificial Intelligence (AI) to analyze the vast amount of IoT data available, new opportunities are emerging to design and manage futuristic smart cities. In this review article, we provide an overview of smart cities, defining their characteristics and exploring the architecture of IoT. A detailed analysis of various wireless communication technologies employed in smart city applications is presented, with extensive research conducted to determine the most appropriate communication technologies for specific use cases. The article also sheds light on different AI algorithms and their suitability for smart city applications. Furthermore, the integration of IoT and AI in smart city scenarios is discussed, emphasizing the potential contributions of 5G networks coupled with AI in advancing modern urban environments. This article contributes to the existing literature by highlighting the tremendous opportunities presented by integrating IoT and AI, paving the way for the development of smart cities that significantly enhance the quality of life for urban dwellers while promoting sustainability and productivity. By exploring the potential of IoT, AI, and their integration, this review article provides valuable insights into the future of smart cities, demonstrating how these technologies can positively impact urban environments and the well-being of their inhabitants.

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Section: Potential Influence Of Ai On Smart Citiesmentioning

confidence: 99%

Integration of IoT-Enabled Technologies and Artificial Intelligence (AI) for Smart City Scenario: Recent Advancements and Future Trends

Alahi

Sukkuea

Tina

et al. 2023

Sensors

147

View full text Add to dashboard Cite

show abstract

“…Recently, the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) (Pal et al 2020) is influencing different aspects of life and industry. IoT plays a crucial role in this disease as an IoT-based system is able to manage and balance the impact of SARS-CoV-2 in smart cities by cluster identification which identifies people who are not wearing face masks (Herath et al 2021). Other examples include monitoring vaccine temperature using IoT (Almars et al 2022).…”

Section: Applications Of Iot Imagesmentioning

confidence: 99%

Deep learning: survey of environmental and camera impacts on internet of things images

et al. 2023

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Internet of Things (IoT) images are captivating growing attention because of their wide range of applications which requires visual analysis to drive automation. However, IoT images are predominantly captured from outdoor environments and thus are inherently impacted by the camera and environmental parameters which can adversely affect corresponding applications. Deep Learning (DL) has been widely adopted in the field of image processing and computer vision and can reduce the impact of these parameters on IoT images. Albeit, there are many DL-based techniques available in the current literature for analyzing and reducing the environmental and camera impacts on IoT images. However, to the best of our knowledge, no survey paper presents state-of-the-art DL-based approaches for this purpose. Motivated by this, for the first time, we present a Systematic Literature Review (SLR) of existing DL techniques available for analyzing and reducing environmental and camera lens impacts on IoT images. As part of this SLR, firstly, we reiterate and highlight the significance of IoT images in their respective applications. Secondly, we describe the DL techniques employed for assessing the environmental and camera lens distortion impacts on IoT images. Thirdly, we illustrate how DL can be effective in reducing the impact of environmental and camera lens distortion in IoT images. Finally, along with the critical reflection on the advantages and limitations of the techniques, we also present ways to address the research challenges of existing techniques and identify some further researches to advance the relevant research areas.

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“…The cell phone associated with the GPS location data is collected from the COVID-19 subjects to identify COVID-19 infectious and hazardous sites and to detect disease outbreaks (56). Additionally, GPS has been also proven its effectiveness in the COVID-19 fight in other studies (57)(58)(59)(60). ) in real time (Figure 3) (61).…”

Section: Roles Of Global Positioning System In the Covid-19 Fightmentioning

confidence: 99%

The Crucial Roles of Geospatial Techniques in The COVID-19 Fight : A Systematic Review

Nguyen,,

Giang Nguyen,

Mai Nguyen

2023

IJHMR

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The Corona Virus Disease 2019 (COVID-19) appeared in Wuhan, China, at the end of 2019, spreading from there across China and the whole world. Such advanced technologies as geospatial techniques have been applied to fight the rapid spread of SARS-CoV-2. This paper aims to review and synthesize the types of applications offered through geospatial techniques to help address different issues related to the fight of the COVID-19 pandemic. The content is presented under four sub-sections; namely the roles of GIS, Remote Sensing, Global Positioning System and Internet Mapping Technologies in the fight of the COVID-19 pandemic. It was found from summarising 73 scientific papers, geospatial techniques have been proven their effectiveness not only in the study of COVID-19 in general, but also in the fight of the pandemic in particular. The wide range of applications offered by geospatial techniques affirms the value of this technique to the COVID-19 fight.

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Development of an IoT Based Systems to Mitigate the Impact of COVID-19 Pandemic in Smart Cities

Cited by 16 publications

References 27 publications

Integration of IoT-Enabled Technologies and Artificial Intelligence (AI) for Smart City Scenario: Recent Advancements and Future Trends

Integration of IoT-Enabled Technologies and Artificial Intelligence (AI) for Smart City Scenario: Recent Advancements and Future Trends

Deep learning: survey of environmental and camera impacts on internet of things images

The Crucial Roles of Geospatial Techniques in The COVID-19 Fight : A Systematic Review

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