Effective use of smart cities in crisis cases: A systematic review of the literature

Alshamaileh, Yazan; Papagiannidis, Savvas; Alsawalqah, Hamad; Aljarah, Ibrahim

doi:10.1016/j.ijdrr.2023.103521

Cited by 29 publications

(16 citation statements)

References 94 publications

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“…For instance, IoT-based emergency response systems can automatically detect and report incidents such as fires or accidents, enabling faster emergency services and improving overall public safety. IoT-powered health monitoring devices allow continuous remote monitoring of patients, enabling timely interventions, and reducing the need for hospital visits [66][67][68][69][70].…”

Section: Iot In Smart Citiesmentioning

confidence: 99%

Synergizing AI, IoT, and Blockchain for Diagnosing Pandemic Diseases in Smart Cities: Challenges and Opportunities

Alrashdi,

Alqazzaz

2024

Sustain. Mach. Intell. J.

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The advent of smart cities has paved the way for transformative advancements in healthcare, particularly in the domain of disease diagnosis. In the wake of the COVID-19 pandemic, accurate and timely identification of Pandemic diseases has become paramount. This paper explores the challenges and opportunities in synergizing Artificial Intelligence (AI), Internet of Things (IoT), and Blockchain technologies for diagnosis of Pandemic diseases in smart cities. This study provides an overview of each technology and its relevance to sustainable healthcare in smart cities, emphasizing its potential for analyzing medical data and making informed decisions. We also explore how IoT devices can contribute to disease surveillance, enabling real-time data collection and remote healthcare. Additionally, we discuss the potential of Blockchain in ensuring secure and transparent healthcare systems. Following, the paper study the synergistic potential of integrating AI, IoT, and blockchain, emphasizing how their combined strengths can enhance the accuracy, efficiency, and security of COVID-19 diagnosis systems in smart cities Moreover, the paper highlights the challenges in integrating these technologies and the opportunities for research and implementation, underlining the significance of synergizing AI, IoT, and Blockchain in disease diagnosis in smart cities. The findings demonstrate that the convergence of AI, IoT, and blockchain can enhance the speed and accuracy of diagnosing Pandemic diseases, leading to more effective containment and management strategies.

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Section: Iot In Smart Citiesmentioning

confidence: 99%

Synergizing AI, IoT, and Blockchain for Diagnosing Pandemic Diseases in Smart Cities: Challenges and Opportunities

Alrashdi,

Alqazzaz

2024

Sustain. Mach. Intell. J.

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“…al. [73] 2023 A systematic review This study provides an in-depth examination of each issue and offers recommendations for further research.…”

Section: Alshamaila Etmentioning

confidence: 99%

“…Twist et al [74] 2023 A systematic review This study's systematic review focuses on citizen dissatisfaction with smart cities, which can be viewed in two ways: active and passive. Additionally, the research examines government efforts to address and promote critical citizen engagement.…”

Section: Alshamaila Etmentioning

confidence: 99%

Intelligent Energy Management with IoT Framework in Smart Cities Using Intelligent Analysis: An Application of Machine Learning Methods for Complex Networks and Systems

Nikpour,

Yousefi,

Jafarzadeh

et al. 2023

Preprint

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Smart buildings are increasingly using Internet of Things (IoT)-based wireless sensing systems to reduce their energy consumption and environmental impact. As a result of their compact size and ability to sense, measure, and compute all electrical properties, Internet of Things devices have become increasingly important in our society. A major contribution of this study is the development of a comprehensive IoT-based framework for smart city energy management, incorporating multiple components of IoT architecture and framework. An IoT framework for intelligent energy management applications that employ intelligent analysis is an essential system component that collects and stores information. Additionally, it serves as a platform for the development of applications by other companies. Furthermore, we have studied intelligent energy management solutions based on intelligent mechanisms. The depletion of energy resources and the increase in energy demand have led to an increase in energy consumption and building maintenance. The data collected is used to monitor, control, and enhance the efficiency of the system.

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“…Cidades inteligentes integram infraestrutura física, tecnologia da informação e comunicação, serviços sociais e recursos empresariais para otimizar a tomada de decisões e melhorar as operações da cidade, aumentando a eficiência na utilização de recursos, otimizando a gestão e os serviços urbanos e melhorando a qualidade de vida dos cidadãos [Alshamaila et al 2023, Lucic et al 2023, Wang and Zhou 2023. As cidades inteligentes utilizam várias tecnologias de informação e conceitos inovadores, como Internet of Things (IoT) e Cyber-Physical Systems (CPS), oferecendo várias aplicações e sistemas, como gerenciamento de resíduos, detecção ambiental, e assistência médica [Ali et al 2023, Sidorov 2023, Pandya et al 2023, Fischer et al 2024.…”

Section: Introductionunclassified

CityHealth: otimizando a gestão hospitalar em cidades inteligentes através da técnica de elasticidade e análise de sinais vitais

Fischer,

Costa,

Righi

2024

Braz. J. Hea. Rev.

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As cidades inteligentes podem melhorar a qualidade de vida dos cidadãos, otimizando a utilização dos recursos. Em um ambiente conectado, a saúde das pessoas pode ser monitorada em tempo real para detectar situações que exijam suporte médico. No entanto, hospitais superlotados podem levar a longos tempos de espera para os pacientes receberem tratamento. A pandemia de COVID-19 agravou o problema da superlotação hospitalar. Neste contexto, propomos o modelo CityHealth, baseado no conceito de elasticidade em Cloud Computing, onde é possível adicionar, migrar ou remover recursos humanos de acordo com a necessidade. Ele monitora o uso dos ambientes de saúde e adapta a capacidade de atendimento de acordo com a demanda. Através de uma abordagem preditiva, o CityHealth antecipa a sobrecarga de ambientes de saúde propõe ações para movimentção dos recursos humanos e otimizar o atendimento. Utilizando dados de uma policlínica como base para emulção de uma cidade inteligente com dois hospitais resultou em redução de até 95,6% no tempo de espera.

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Effective use of smart cities in crisis cases: A systematic review of the literature

Cited by 29 publications

References 94 publications

Synergizing AI, IoT, and Blockchain for Diagnosing Pandemic Diseases in Smart Cities: Challenges and Opportunities

Synergizing AI, IoT, and Blockchain for Diagnosing Pandemic Diseases in Smart Cities: Challenges and Opportunities

Intelligent Energy Management with IoT Framework in Smart Cities Using Intelligent Analysis: An Application of Machine Learning Methods for Complex Networks and Systems

CityHealth: otimizando a gestão hospitalar em cidades inteligentes através da técnica de elasticidade e análise de sinais vitais

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