[HTML][HTML] Intelligent authentication of 5G healthcare devices: A survey
… may gain access to critical health information. Unauthorized … effective dissemination of
electronic health records over an … the finite-difference time-domain technique has been adopted …
electronic health records over an … the finite-difference time-domain technique has been adopted …
An ensemble learning and fog-cloud architecture-driven cyber-attack detection framework for IoMT networks
… of the Internet is responsible for the emergence of the Internet of Things (IoT… compared to
other classifiers on complete data samples. Moreover, the results presented by other evaluation …
other classifiers on complete data samples. Moreover, the results presented by other evaluation …
Fhir-gpt enhances health interoperability with large language models
… This challenge is exacerbated when critical health information is … Clinical notes within the
electronic health record system … we annotated the dataset and compared the performance of …
electronic health record system … we annotated the dataset and compared the performance of …
Deep learning and medical image processing for coronavirus (COVID-19) pandemic: A survey
… The emergency departments, intensive care facilities have … RNN works similar to CNN, but
the difference is that RNN is used … Object detection is a computer vision technique that is used …
the difference is that RNN is used … Object detection is a computer vision technique that is used …
Edge-cloud computing and artificial intelligence in internet of medical things: architecture, technology and application
L Sun, X Jiang, H Ren, Y Guo - IEEE access, 2020 - ieeexplore.ieee.org
… in the operation room, emergency room and Intensive Care Unit (ICU) to monitor and display
… and privacy of electronic health data in the cloud. • By comparing with traditional IoMT and …
… and privacy of electronic health data in the cloud. • By comparing with traditional IoMT and …
[HTML][HTML] Weed detection in soybean crops using custom lightweight deep learning models
N Razfar, J True, R Bassiouny, V Venkatesh… - Journal of Agriculture …, 2022 - Elsevier
… Thus, switching to computer vision techniques is necessary … parameters, this method is not
suitable for online weed detection… In addition, for validation steps and comparison of the newly …
suitable for online weed detection… In addition, for validation steps and comparison of the newly …
Block Chain Based Internet of Medical Things for Uninterrupted, Ubiquitous, User-Friendly, Unflappable, Unblemished, Unlimited Health Care Services (BC IoMT U6 …
… The integrity of the Layered Architecture is validated with the … to Health Care IT systems
through online computer networks. … , in comparison with the conventional layered architecture. …
through online computer networks. … , in comparison with the conventional layered architecture. …
TIP4. 0: industrial internet of things platform for predictive maintenance
… To showcase its potential, the TIP4.0 platform was validated … Before providing data to the
models, we computed the … CNN architecture had competitive performance in comparison to the …
models, we computed the … CNN architecture had competitive performance in comparison to the …
[PDF][PDF] Multi-classification of Alzheimer disease on magnetic resonance images (MRI) using deep convolutional neural network (DCNN) approaches
… are subjected to many evaluation metrics. This research used … techniques on a small dataset
compared to SVM [5]. … Since the classification of X-ray images need deep architecture to …
compared to SVM [5]. … Since the classification of X-ray images need deep architecture to …
Conceptualizing smart city applications: Requirements, architecture, security issues, and emerging trends
… Table 1 depicts a comparative analysis of smart city survey … This study also uses Chinese
transportation for framework evaluation… The electronic health record management system is the …
transportation for framework evaluation… The electronic health record management system is the …