An effective training scheme for deep neural network in edge computing enabled Internet of medical things (IoMT) systems
At present times, the real-time requirement on the multiaccess healthcare monitoring system,
information mining, and efficient disease diagnosis of health conditions is a difficult process …
information mining, and efficient disease diagnosis of health conditions is a difficult process …
Secure prediction and assessment of sports injuries using deep learning based convolutional neural network
H Song, CE Montenegro-Marin - Journal of Ambient …, 2021 - search.proquest.com
In recent days, many information and image evidence in the field of medicine is being
designed and developed by the advancement of computer technology. Presently, sport …
designed and developed by the advancement of computer technology. Presently, sport …
Wearable IoT smart-log patch: An edge computing-based Bayesian deep learning network system for multi access physical monitoring system
According to the survey on various health centres, smart log-based multi access physical
monitoring system determines the health conditions of humans and their associated …
monitoring system determines the health conditions of humans and their associated …
Analyzing patient health information based on IoT sensor with AI for improving patient assistance in the future direction
Abstract Internet of Things (IoT) and Artificial Intelligence (AI) play a vital role in the
upcoming years to improve the assistance systems. The IoT devices utilize several sensor …
upcoming years to improve the assistance systems. The IoT devices utilize several sensor …
A dynamic and interoperable communication framework for controlling the operations of wearable sensors in smart healthcare applications
In this manuscript, a dynamic and interoperable communication framework (DICF) for
regulating the operations of wearable healthcare devices is introduced. The framework is …
regulating the operations of wearable healthcare devices is introduced. The framework is …
Deep learning-based HCNN and CRF-RRNN model for brain tumor segmentation
W Deng, Q Shi, M Wang, B Zheng, N Ning - iEEE Access, 2020 - ieeexplore.ieee.org
This paper proposes a strategy where a structure is developed to recognize and order the
tumor type. Over a time of years, numerous specialists have been examined and proposed a …
tumor type. Over a time of years, numerous specialists have been examined and proposed a …
Adaptive energy aware quality of service for reliable data transfer in under water acoustic sensor networks
Currently, reliable data transfer, and energy management have been considered as a
significant research challenge in the underwater acoustic sensor networks (UWASN) owing …
significant research challenge in the underwater acoustic sensor networks (UWASN) owing …
Smart healthcare solutions using the internet of medical things for hand gesture recognition system
NM Mahmoud, H Fouad, AM Soliman - Complex & intelligent systems, 2021 - Springer
Patient gesture recognition is a promising method to gain knowledge and assist patients.
Healthcare monitoring systems integrated with the Internet of Things (IoT) paradigm to …
Healthcare monitoring systems integrated with the Internet of Things (IoT) paradigm to …
WITHDRAWN: Artificial intelligence in cognitive psychology—Influence of literature based on artificial intelligence on children's mental disorders
X Zhang, R Wang, A Sharma, GG Deverajan - 2021 - Elsevier
WITHDRAWN: Artificial intelligence in cognitive psychology — Influence of literature based
on artificial intelligence on children's mental disorders - ScienceDirect Skip to main contentSkip …
on artificial intelligence on children's mental disorders - ScienceDirect Skip to main contentSkip …
Deep learning-based mental health monitoring scheme for college students using convolutional neural network
C Du, C Liu, P Balamurugan… - International Journal on …, 2021 - World Scientific
Artificial intelligence (AI) in healthcare has recently been promising using deep neural
networks. It is indeed even been in clinical trials more and more, with positive outcomes …
networks. It is indeed even been in clinical trials more and more, with positive outcomes …