Data aggregation mechanisms on the internet of things: a systematic literature review
Abstract Nowadays, the Internet of Things (IoT) has gained considerable attention in
different academic and real-world research domains. Due to the data-driven nature of IoT …
different academic and real-world research domains. Due to the data-driven nature of IoT …
Cloud-edge orchestration for the Internet of Things: Architecture and AI-powered data processing
Y Wu - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) has been deeply penetrated into a wide range of important and
critical sectors, including smart city, water, transportation, manufacturing, and smart factory …
critical sectors, including smart city, water, transportation, manufacturing, and smart factory …
A novel method for reducing arrhythmia classification from 12-lead ECG signals to single-lead ECG with minimal loss of accuracy through teacher-student knowledge …
Deep learning models developed through multi-lead electrocardiogram (ECG) signals are
considered the leading methods for the automated detection of arrhythmia on computer …
considered the leading methods for the automated detection of arrhythmia on computer …
Joint learning method with teacher–student knowledge distillation for on-device breast cancer image classification
The deep learning models such as AlexNet, VGG, and ResNet achieved a good
performance in classifying the breast cancer histopathological images in BreakHis dataset …
performance in classifying the breast cancer histopathological images in BreakHis dataset …
[HTML][HTML] Lightweight image super-resolution for IoT devices using deep residual feature distillation network
The 5th industrial revolution is characterized by an extensive interconnection of embedded
devices, which offer a range of services, including the monitoring of their environments …
devices, which offer a range of services, including the monitoring of their environments …
An efficient approach to sharing edge knowledge in 5G-enabled industrial Internet of Things
Thanks to the booming development of artificial intelligence, 5G technology, and intelligent
manufacturing technology, numerous intelligent edge devices contained in the industrial …
manufacturing technology, numerous intelligent edge devices contained in the industrial …
Overcoming limitation of dissociation between MD and MI classifications of breast cancer histopathological images through a novel decomposed feature-based …
Magnification-independent (MI) classification is considered a promising method for detecting
the histopathological images of breast cancer. However, it has too many parameters for real …
the histopathological images of breast cancer. However, it has too many parameters for real …
The impact of applying knowledge in the technological pillars of Industry 4.0 on supply chain performance
A Sawangwong, P Chaopaisarn - Kybernetes, 2023 - emerald.com
Purpose The purpose of the study is to investigate the impact of technological pillars of
Industry 4.0 based on knowledge to adopt the supply chain performance of Thai small and …
Industry 4.0 based on knowledge to adopt the supply chain performance of Thai small and …
Teacher–student knowledge distillation based on decomposed deep feature representation for intelligent mobile applications
According to the recent studies on feature-based knowledge distillation (KD), a student
model will not be able to imitate a teacher's behavior properly if there is a high variance …
model will not be able to imitate a teacher's behavior properly if there is a high variance …
An adaptive teacher–student learning algorithm with decomposed knowledge distillation for on-edge intelligence
In case the spatial shape of the feature maps of the teacher in feature-based knowledge
distillation (KD) is significantly greater than the student model, first, they cannot be compared …
distillation (KD) is significantly greater than the student model, first, they cannot be compared …