[Retracted] Internet of Medical Things (IoMT)‐Based Smart Healthcare System: Trends and Progress

J Srivastava, S Routray, S Ahmad… - Computational …, 2022 - Wiley Online Library
Internet of Medical Thing (IoMT) is the most emerging era of the Internet of Thing (IoT), which
is exponentially gaining researchers' attention with every passing day because of its wide …

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
With the booming development of medical informatization and the ubiquitous connections in
the fifth generation mobile communication technology (5G) era, the heterogeneity and …

Accurate and fast URL phishing detector: a convolutional neural network approach

W Wei, Q Ke, J Nowak, M Korytkowski, R Scherer… - Computer Networks, 2020 - Elsevier
Along with the development of the Internet, methods of fraud and ways to obtain important
data such as logins and passwords or personal sensitive data have evolved. One way of …

Secure routing for internet of things: A survey

D Airehrour, J Gutierrez, SK Ray - Journal of Network and Computer …, 2016 - Elsevier
Abstract The Internet of Things (IoT) could be described as the pervasive and global network
which aids and provides a system for the monitoring and control of the physical world …

P-SEP: A prolong stable election routing algorithm for energy-limited heterogeneous fog-supported wireless sensor networks

PGV Naranjo, M Shojafar, H Mostafaei… - The Journal of …, 2017 - Springer
Energy efficiency is one of the main issues that will drive the design of fog-supported
wireless sensor networks (WSNs). Indeed, the behavior of such networks becomes very …

Semantic SLAM based on object detection and improved octomap

L Zhang, L Wei, P Shen, W Wei, G Zhu, J Song - IEEE Access, 2018 - ieeexplore.ieee.org
Due to the development of the computer vision, machine learning, and deep learning
technologies, the research community focuses not only on the traditional SLAM problems …

Review of object instance segmentation based on deep learning

D Tian, Y Han, B Wang, T Guan… - Journal of Electronic …, 2022 - spiedigitallibrary.org
As a challenging task in computer vision, instance segmentation has attracted extensive
attention in recent years. Able to obtain very rich and refined object information, this …

Grip strength forecast and rehabilitative guidance based on adaptive neural fuzzy inference system using sEMG

D Jiang, G Li, Y Sun, J Kong, B Tao, D Chen - Personal and Ubiquitous …, 2022 - Springer
In order to resolve the problem of unstable control of force in human–computer interaction
based on surface EMG signals, the adaptive neural fuzzy inference system is designed to …

Toward software defined smart home

K Xu, X Wang, W Wei, H Song… - IEEE Communications …, 2016 - ieeexplore.ieee.org
In recent years, the smart home field has caught wide attention and witnessed rapid
development. Smart devices, continuously increasing in number, make user management …

Ensemble machine learning approaches for webshell detection in Internet of things environments

B Yong, W Wei, KC Li, J Shen, Q Zhou… - Transactions on …, 2022 - Wiley Online Library
Abstract The Internet of things (IoT), made up of a massive number of sensor devices
interconnected, can be used for data exchange, intelligent identification, and management …