Impacts of blockchain in software‐defined Internet of Things ecosystem with Network Function Virtualization for smart applications: Present perspectives and future …
As an emerging technology, blockchain (BC) has been playing a promising role in today's
software‐defined networking (SDN)‐enabled Internet of Things (IoT) applications. Because …
software‐defined networking (SDN)‐enabled Internet of Things (IoT) applications. Because …
Federated learning-based AI approaches in smart healthcare: concepts, taxonomies, challenges and open issues
Abstract Federated Learning (FL), Artificial Intelligence (AI), and Explainable Artificial
Intelligence (XAI) are the most trending and exciting technology in the intelligent healthcare …
Intelligence (XAI) are the most trending and exciting technology in the intelligent healthcare …
[HTML][HTML] Accurate brain tumor detection using deep convolutional neural network
Detection and Classification of a brain tumor is an important step to better understanding its
mechanism. Magnetic Reasoning Imaging (MRI) is an experimental medical imaging …
mechanism. Magnetic Reasoning Imaging (MRI) is an experimental medical imaging …
[HTML][HTML] Machine learning and deep learning-based approach in smart healthcare: Recent advances, applications, challenges and opportunities
In recent years, machine learning (ML) and deep learning (DL) have been the leading
approaches to solving various challenges, such as disease predictions, drug discovery …
approaches to solving various challenges, such as disease predictions, drug discovery …
On the ICN-IoT with federated learning integration of communication: Concepts, security-privacy issues, applications, and future perspectives
The individual and integration use of the Internet of Things (IoT), Information-Centric
Networking (ICN), and Federated Learning (FL) have recently been used in several network …
Networking (ICN), and Federated Learning (FL) have recently been used in several network …
Double AMIS-ensemble deep learning for skin cancer classification
This study aims to create a precise skin cancer classification system (SC-CS) able to
distinguish various skin cancer types. Targeted categories include melanoma, vascular …
distinguish various skin cancer types. Targeted categories include melanoma, vascular …
Classification of breast cancer from histopathology images using an ensemble of deep multiscale networks
Manual delineation of tumours in breast histopathology images is generally time-consuming
and laborious. Computer-aided detection systems can assist pathologists by detecting …
and laborious. Computer-aided detection systems can assist pathologists by detecting …
A novel parallel merge neural network with streams of spiking neural network and artificial neural network
J Yang, J Zhao - Information Sciences, 2023 - Elsevier
Some neuroscientific studies have demonstrated that the human brain is a complex
integrated spatiotemporal system. The human brain supports a wide range of models …
integrated spatiotemporal system. The human brain supports a wide range of models …
[HTML][HTML] Hospital patients' length of stay prediction: A federated learning approach
Predicting patient's length of stay (LOS) is a crucial determinant for hospitals to maintain
resource efficiency and quality treatment, where machine learning-based predictive …
resource efficiency and quality treatment, where machine learning-based predictive …
Deep multi-magnification similarity learning for histopathological image classification
S Diao, W Luo, J Hou, R Lambo… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Precise classification of histopathological images is crucial to computer-aided diagnosis in
clinical practice. Magnification-based learning networks have attracted considerable …
clinical practice. Magnification-based learning networks have attracted considerable …