Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review

A Shoeibi, M Khodatars, M Jafari, N Ghassemi… - Information …, 2023 - Elsevier
Brain diseases, including tumors and mental and neurological disorders, seriously threaten
the health and well-being of millions of people worldwide. Structural and functional …

[HTML][HTML] Task partitioning and offloading in IoT cloud-edge collaborative computing framework: a survey

H Chen, W Qin, L Wang - Journal of Cloud Computing, 2022 - Springer
Abstract Internet of Things (IoT) is made up with growing number of facilities, which are
digitalized to have sensing, networking and computing capabilities. Traditionally, the large …

Exchange of messages in the telecommunication network with different types of communication channels

UU Agzamovich, N Hikmatulla - 2021 International Conference …, 2021 - ieeexplore.ieee.org
The article deals with the problems of determining the main quality indicators of a
telecommunications network with different types of communication channels and the time …

[HTML][HTML] Optimized convolutional neural network architectures for efficient on-device vision-based object detection

I Rodriguez-Conde, C Campos… - Neural Computing and …, 2022 - Springer
Convolutional neural networks have pushed forward image analysis research and computer
vision over the last decade, constituting a state-of-the-art approach in object detection today …

Profit maximization for security-aware task offloading in edge-cloud environment

Z Li, V Chang, H Hu, D Yu, J Ge, B Huang - Journal of Parallel and …, 2021 - Elsevier
Mobile devices (MDs) and applications are receiving extensive popularity and attracting
significant attention. Mobile applications, especially for artificial intelligence (AI) applications …

Network under control: Multi-vehicle E2E measurements for AI-based QoS prediction

A Palaios, P Geuer, J Fink, DF Külzer… - 2021 IEEE 32nd …, 2021 - ieeexplore.ieee.org
In the future, mobility use cases will depend on precise predictions, with Quality of Service
(QoS) prediction being a prominent example. This paper presents realistic measurements …

Cloud-assisted collaborative inference of convolutional neural networks for vision tasks on resource-constrained devices

I Rodriguez-Conde, C Campos, F Fdez-Riverola - Neurocomputing, 2023 - Elsevier
This work analyses the most relevant research conducted under the mobile cloud computing
paradigm to bring vision tasks supported by state-of-the-art deep convolutional neural …

[HTML][HTML] Distributed reinforcement learning-based memory allocation for edge-PLCs in industrial IoT

T Fu, Y Peng, P Liu, H Lao, S Wan - Journal of Cloud Computing, 2022 - Springer
The exponential device growth in industrial Internet of things (IIoT) has a noticeable impact
on the volume of data generated. Edge-cloud computing cooperation has been introduced …

[HTML][HTML] Rough fuzzy model based feature discretization in intelligent data preprocess

Q Chen, M Huang - Journal of Cloud Computing, 2021 - Springer
Feature discretization is an important preprocessing technology for massive data in
industrial control. It improves the efficiency of edge-cloud computing by transforming …

[HTML][HTML] Research trends in deep learning and machine learning for cloud computing security

YI Alzoubi, A Mishra, AE Topcu - Artificial Intelligence Review, 2024 - Springer
Deep learning and machine learning show effectiveness in identifying and addressing cloud
security threats. Despite the large number of articles published in this field, there remains a …