Journal ArticleDOI
An edge AI-enabled IoT healthcare monitoring system for smart cities
Vipin Kumar Rathi,Nikhil Kumar Rajput,Shubham Mishra,Bhavya Ahuja Grover,Prayag Tiwari,Amit Kumar Jaiswal,M. Shamim Hossain +6 more
TLDR
This paper proposes a scalable, responsive, and reliable AI-enabled IoT and edge computing-based healthcare solution with low latency when serving patients with results for end-to-end time, computing, optimization, and transmission latency.About:
This article is published in Computers & Electrical Engineering.The article was published on 2021-12-01. It has received 32 citations till now. The article focuses on the topics: Edge computing & Enhanced Data Rates for GSM Evolution.read more
Citations
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Journal ArticleDOI
Adoption of artificial intelligence in smart cities: A comprehensive review
TL;DR: In this paper , the authors explored how artificial intelligence (AI) is being used in the smart city concept and examined 133 articles (97% of Scopus and 73% of WoS) in healthcare, education, environment and waste management, agriculture, mobility and smart transportation, risk management, and security.
Journal ArticleDOI
Management of Smart and Sustainable Cities in the Post-COVID-19 Era: Lessons and Implications
TL;DR: The lessons and implications outlined in this paper can be used to enforce social distancing community measures in an effective and timely way, and to optimize the use of resources in smart and sustainable cities in critical situations.
Journal ArticleDOI
A blockchain-based hybrid platform for multimedia data processing in IoT-Healthcare
Ahmed I. Taloba,Ahmed Elhadad,Alanazi Rayan,Rasha M. Abd El-Aziz,Mostafa Salem,Ahmad A. Alzahrani,Fahd S. Alharithi,Choonkil Park +7 more
TL;DR: In this article , the authors proposed a security architecture for healthcare multimedia content using blockchain technology by producing the hash of every information so that any transition or modification in information, as well as any breaches of medicines, would be evidenced across the whole blockchain platform.
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A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion
Ahmed Shihab Albahri,Ali Faisal Mohammed,Mohammed A. Fadhel,Alhamzah Alnoor,Noor S. Baqer,Laith Alzubaidi,Osamah Shihab Albahri,A.H. Alamoodi,Jinshuai Bai,Asma Salhi,José Santamaría,Chun Ouyang,Ashish Gupta,Yuantong Gu,Muhammet Deveci +14 more
TL;DR: A systematic review of the trustworthiness and explainability of AI applications in healthcare, incorporating the assessment of quality, bias risk, and data fusion to supplement previous studies and provide more accurate and definitive findings is presented in this paper .
Journal ArticleDOI
IoT-Based Healthcare-Monitoring System towards Improving Quality of Life: A Review
Suliman Abdulmalek,Abdul Nasir,Waheb A. Jabbar,Mukarram A M Almuhaya,Anupam Kumar Bairagi,Md. Al-Masrur Khan,Seong-Hoon Kee +6 more
TL;DR: This review paper explores the latest trends in healthcare-monitoring systems by implementing the role of the IoT and compares various systems’ effectiveness, efficiency, data protection, privacy, security, and monitoring.
References
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Journal ArticleDOI
The Internet of Things for Health Care: A Comprehensive Survey
TL;DR: An intelligent collaborative security model to minimize security risk is proposed; how different innovations such as big data, ambient intelligence, and wearables can be leveraged in a health care context is discussed; and various IoT and eHealth policies and regulations are addressed to determine how they can facilitate economies and societies in terms of sustainable development.
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BSN-Care: A Secure IoT-Based Modern Healthcare System Using Body Sensor Network
Prosanta Gope,Tzonelih Hwang +1 more
TL;DR: This paper highlights the major security requirements in BSN-based modern healthcare system and proposes a secure IoT-based healthcare system using BSN, called B SN-Care, which can efficiently accomplish those requirements.
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A Survey on Wireless Body Area Networks for eHealthcare Systems in Residential Environments
Mohammad Ghamari,Balazs Janko,R. Simon Sherratt,William S. Harwin,Robert Piechockic,Cinna Soltanpur +5 more
TL;DR: Researchers are provided with information to compare the existing low-power communication technologies that can potentially support the rapid development and deployment of WBAN systems, and mainly focuses on remote monitoring of elderly or chronically ill patients in residential environments.
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Cloud-Supported Cyber–Physical Localization Framework for Patients Monitoring
TL;DR: This paper proposes a cloud-supported cyber–physical localization system for patient monitoring using smartphones to acquire voice and electroencephalogram signals in a scalable, real-time, and efficient manner and uses Gaussian mixture modeling for localization to outperform other similar methods in terms of error estimation.
Journal ArticleDOI
Explainable AI and Mass Surveillance System-Based Healthcare Framework to Combat COVID-I9 Like Pandemics
TL;DR: A B5G framework is proposed that utilizes the 5G network's low-latency, high-bandwidth functionality to detect COVID-19 using chest X-ray or CT scan images, and to develop a mass surveillance system to monitor social distancing, mask wearing, and body temperature.