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Survey on intelligence edge computing in 6G: Characteristics, challenges, potential use cases, and market drivers
Intelligence Edge Computing (IEC) is the key enabler of emerging 5G technologies networks
and beyond. IEC is considered to be a promising backbone of future services and wireless …
and beyond. IEC is considered to be a promising backbone of future services and wireless …
[HTML][HTML] A comprehensive survey on reinforcement-learning-based computation offloading techniques in edge computing systems
In recent years, the number of embedded computing devices connected to the Internet has
exponentially increased. At the same time, new applications are becoming more complex …
exponentially increased. At the same time, new applications are becoming more complex …
A low-latency edge computation offloading scheme for trust evaluation in finance-level artificial intelligence of things
The finance-level Artificial Intelligence of Things (AIoT) is going to become a novel media in
the 6G-driven digital society. Inside the financial AIoT environment, large-scale crowd credit …
the 6G-driven digital society. Inside the financial AIoT environment, large-scale crowd credit …
A smart healthcare recommendation system for multidisciplinary diabetes patients with data fusion based on deep ensemble learning
The prediction of human diseases precisely is still an uphill battle task for better and timely
treatment. A multidisciplinary diabetic disease is a life‐threatening disease all over the …
treatment. A multidisciplinary diabetic disease is a life‐threatening disease all over the …
A survey on security, privacy, trust, and architectural challenges in IoT systems
The Internet of Things (IoT) emerged as a pervasive technology, facilitating the seamless
interaction of devices, individuals, and services, enabling data exchange and task execution …
interaction of devices, individuals, and services, enabling data exchange and task execution …
A review of privacy and security of edge computing in smart healthcare systems: issues, challenges, and research directions
A Alzu'Bi, A Alomar, S Alkhaza'Leh… - Tsinghua Science …, 2024 - ieeexplore.ieee.org
The healthcare industry is rapidly adapting to new computing environments and
technologies. With academics increasingly committed to develo** and enhancing …
technologies. With academics increasingly committed to develo** and enhancing …
ECG-COVID: An end-to-end deep model based on electrocardiogram for COVID-19 detection
The early and accurate detection of COVID-19 is vital nowadays to avoid the vast and rapid
spread of this virus and ease lockdown restrictions. As a result, researchers developed …
spread of this virus and ease lockdown restrictions. As a result, researchers developed …
Survey on mobile edge-cloud computing: A taxonomy on computation offloading approaches
With the technological evolution of Internet of Things (IoT) devices and wireless
communications, a wide variety of new complex mobile applications and different services …
communications, a wide variety of new complex mobile applications and different services …
Enhancing quality of experience in mobile edge computing using deep learning based data offloading and cyberattack detection technique
Due to the advancements of high-speed networks, mobile edge computing (MEC) has
received significant attention to bring processing and storage resources in client's proximity …
received significant attention to bring processing and storage resources in client's proximity …
Application of deep learning for quality of service enhancement in internet of things: A review
N Kimbugwe, T Pei, MN Kyebambe - Energies, 2021 - mdpi.com
The role of the Internet of Things (IoT) networks and systems in our daily life cannot be
underestimated. IoT is among the fastest evolving innovative technologies that are digitizing …
underestimated. IoT is among the fastest evolving innovative technologies that are digitizing …