RETRACTED ARTICLE: A combination of TEXTCNN model and Bayesian classifier for microblog sentiment analysis

Z Wang, L Yao, X Shao, H Wang - Journal of Combinatorial Optimization, 2023 - Springer
More and more individuals are paying attention to the research on the emotional information
found in micro-blog comments. TEXTCNN is growing rapidly in the short text space …

[HTML][HTML] Task offloading for edge-IoV networks in the industry 4.0 era and beyond: A high-level view

M Talebkhah, A Sali, V Khodamoradi… - … Science and Technology …, 2024 - Elsevier
As a promising platform on the Internet of Things (IoT), the smart Internet of Vehicle (IoV) has
emerged with the advent of the key connectivity to Industry 4.0, ie Fifth-Generation Mobile …

Dynamic Resource Allocation and Task Offloading for NOMA‐Enabled IoT Services in MEC

H Xing, J Xu, J Hu, Y Chen… - Security and …, 2022 - Wiley Online Library
Integrating nonorthogonal multiple access (NOMA) and edge computing into the Internet of
Things (IoT) for resource allocation and computing offloading can effectively reduce delay …

[HTML][HTML] Enhanced whale optimization algorithm for dependent tasks offloading problem in multi-edge cloud computing

KM Hosny, AI Awad, W Said, M Elmezain… - Alexandria Engineering …, 2024 - Elsevier
In this paper, we introduce the Enhanced Whale Optimization Algorithm (EWA) to optimize
dependent task offloading in a multi-edge cloud computing environment. Our proposed …

CyTFS: Cyber-Twin Fog System for Delay Efficient Task Offloading in 6G Mobile Networks

S Gopikrishnan, G Srivastava… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Sixth-generation (6G) mobile computing is a wireless, cutting-edge technology that is made
possible by the digital interconnectedness of everything (IoE). 6G connection depends on …

Edge offloading for microservice architectures

J Zilic, V De Maio, A Aral, I Brandic - Proceedings of the 5th International …, 2022 - dl.acm.org
Edge offloading is widely used to support the execution of near real-time mobile
applications. However, offloading on edge infrastructures can suffer from failures due to the …

Time-continuous computing offloading algorithm with user fairness guarantee

H Hao, W Ding, W Zhang - Journal of Network and Computer Applications, 2024 - Elsevier
Computing offloading is a potential avenue to reduce transmission delay by moving
computing tasks from cloud to edge nodes. Due to the limited computing capacity of edge …

A Meta Reinforcement Learning Approach for SFC Placement in Dynamic IoT-MEC Networks

S Guo, Y Du, L Liu - Applied Sciences, 2023 - mdpi.com
In order to achieve reliability, security, and scalability, the request flow in the Internet of
Things (IoT) needs to pass through the service function chain (SFC), which is composed of …

[HTML][HTML] Exploring Personalized Internet of Things (PIoT), social connectivity, and Artificial Social Intelligence (ASI): A survey

B Gulzar, SA Sofi, S Sholla - High-Confidence Computing, 2024 - Elsevier
Pervasive Computing has become more personal with the widespread adoption of the
Internet of Things (IoT) in our day-to-day lives. The emerging domain that encompasses …

Deep reinforcement learning acceleration for real-time edge computing mixed integer programming problems

G Gerogiannis, M Birbas, A Leftheriotis… - IEEE …, 2022 - ieeexplore.ieee.org
In this work, we present the design and implementation of an ultra-low latency Deep
Reinforcement Learning (DRL) FPGA based accelerator for addressing hard real-time Mixed …