Deep Neural Networks meet computation offloading in mobile edge networks: Applications, taxonomy, and open issues

E Mustafa, J Shuja, F Rehman, A Riaz, M Maray… - Journal of Network and …, 2024 - Elsevier
Abstract Mobile Edge Computing (MEC) is a modern paradigm that involves moving
computing and storage resources closer to the network edge, reducing latency, and …

[HTML][HTML] Exploring the challenges and opportunities of image processing and sensor fusion in autonomous vehicles: A comprehensive review

D Nahata, K Othman - AIMS Electronics and Electrical Engineering, 2023 - aimspress.com
Autonomous vehicles are at the forefront of future transportation solutions, but their success
hinges on reliable perception. This review paper surveys image processing and sensor …

Revolutionizing flame detection: Novelization in flame detection through transferring distillation for knowledge to pruned model

H Tao, J Liu, Z Yang, G Wang, J Shang, H Qiu… - Expert Systems with …, 2024 - Elsevier
Traditional flame sensors have demonstrated suboptimal detection performance in complex
environments, prompting researchers to integrate deep neural network algorithms into these …

Research on PCB defect detection based on SSD

L Kang, Y Ge, H Huang, M Zhao - 2022 IEEE 4th International …, 2022 - ieeexplore.ieee.org
To solve the problem of wrong detection in PCB defect detection, a deep learning detection
network based on SSD, named multi-layer SSD (mSSD), is proposed. A small target …

Task Offloading in Edge Computing: An Evolutionary Algorithm With Multi-Model Online Prediction

Y Nie, ZY Chai, L Lu, YL Li - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
With the rapid development of Internet of Things (IoT) technology, the number of IoT devices
has increased dramatically and a large amount of data has been generated. In order to …

Detection And Prevention of Malicious Activities In Vulnerable Network Security Using Deep Learning

RN Wadibhasme, AU Chaudhari… - … on Innovations and …, 2024 - ieeexplore.ieee.org
In the digital age, network security is very important because bad people are always coming
up with new ways to break into systems that are weak. Most of the time, standard security …

Network Data Detection for Information Security Using CNN-LSTM Model

N Jin - 2023 9th International Conference on Big Data and …, 2023 - ieeexplore.ieee.org
Previous researches have mastered rich data resources from big data analysis, built and
promoted the network traffic metadata diversion platforms. This paper particularly analyzes …