Zobrazeno 1 - 10
of 47
pro vyhledávání: '"James Jin Kang"'
Publikováno v:
Sensors, Vol 23, Iss 9, p 4178 (2023)
Recently, various sophisticated methods, including machine learning and artificial intelligence, have been employed to examine health-related data. Medical professionals are acquiring enhanced diagnostic and treatment abilities by utilizing machine l
Externí odkaz:
https://doaj.org/article/462183be52544893998076eb37e3d840
Autor:
James Jin Kang, Wencheng Yang, Gordana Dermody, Mohammadreza Ghasemian, Sasan Adibi, Paul Haskell-Dowland
Publikováno v:
IEEE Access, Vol 8, Pp 201498-201515 (2020)
There has been an increasing prevalence of ad-hoc networks for various purposes and applications. These include Low Power Wide Area Networks (LPWAN) and Wireless Body Area Networks (WBAN) which have emerging applications in health monitoring as well
Externí odkaz:
https://doaj.org/article/c112824fe1ae40e9942e4ad351715920
Publikováno v:
Sensors, Vol 23, Iss 2, p 699 (2023)
pH sensors are increasingly being utilized in the biomedical field and have been implicated in health applications that aim to improve the monitoring and treatment of patients. In this work, a previously developed Titanium Nitride (TiN) solid-state p
Externí odkaz:
https://doaj.org/article/4028dd614f31416ba0ef84fdada40d20
Publikováno v:
Sensors, Vol 22, Iss 24, p 9679 (2022)
Monitoring a patient’s vital signs is considered one of the most challenging problems in telehealth systems, especially when patients reside in remote locations. Companies now use IoT devices such as wearable devices to participate in telehealth sy
Externí odkaz:
https://doaj.org/article/03047a42518c4123b55d7411f94ad29f
Autor:
Parvathaneni Naga Srinivasu, Jalluri Gnana SivaSai, Muhammad Fazal Ijaz, Akash Kumar Bhoi, Wonjoon Kim, James Jin Kang
Publikováno v:
Sensors, Vol 21, Iss 8, p 2852 (2021)
Deep learning models are efficient in learning the features that assist in understanding complex patterns precisely. This study proposed a computerized process of classifying skin disease through deep learning based MobileNet V2 and Long Short Term M
Externí odkaz:
https://doaj.org/article/4b4420e8f6dc4239a3ee2e97ff34b3a3
An Energy-Efficient and Secure Data Inference Framework for Internet of Health Things: A Pilot Study
Publikováno v:
Sensors, Vol 21, Iss 1, p 312 (2021)
Privacy protection in electronic healthcare applications is an important consideration, due to the sensitive nature of personal health data. Internet of Health Things (IoHT) networks that are used within a healthcare setting have unique challenges an
Externí odkaz:
https://doaj.org/article/684ad580e7d74f4e90be0fcc2c6a1987
Publikováno v:
Technologies, Vol 7, Iss 1, p 25 (2019)
Among the various factors affecting long distance driving are the risks imposed by a driver’s health, which could result in road accidents. Internet of Things (IoT) and mobile health (mHealth) technologies are increasingly being recognized for thei
Externí odkaz:
https://doaj.org/article/95e0f410a91b423cb878e8c33e817a5d
Publikováno v:
Big Data and Cognitive Computing, Vol 3, Iss 1, p 7 (2019)
Transferring data from a sensor or monitoring device in electronic health, vehicular informatics, or Internet of Things (IoT) networks has had the enduring challenge of improving data accuracy with relative efficiency. Previous works have proposed th
Externí odkaz:
https://doaj.org/article/316e3d70b7074c5b89fc88eb2bd9afb3
Publikováno v:
Cryptography, Vol 2, Iss 4, p 38 (2018)
Due to the prevalence and constantly increasing risk of cyber-attacks, new and evolving security mechanisms are required to protect information and networks and ensure the basic security principles of confidentiality, integrity, and availability—re
Externí odkaz:
https://doaj.org/article/e9dc14518b714dac9f2fd4c4b59f0efc
Autor:
James Jin Kang, Sasan Adibi
Publikováno v:
Technologies, Vol 6, Iss 3, p 74 (2018)
With the emergence of technologies such as electronic health and mobile health (eHealth/mHealth), cloud computing, big data, and the Internet of Things (IoT), health related data are increasing and many applications such as smartphone apps and wearab
Externí odkaz:
https://doaj.org/article/c0c49380263e405f9d42b7eac40dbee1