A review of intelligent computation offloading in multi-access edge computing

H Jin, MA Gregory, S Li - IEEE Access, 2022 - ieeexplore.ieee.org
Multi-Access Edge Computing (MEC) is a standardized architecture that enables cloud
computing capabilities at the edge of heterogeneous networks. The concept is to reduce …

A semantic and emotion‐based dual latent variable generation model for a dialogue system

M Yan, X Lou, CA Chan, Y Wang… - CAAI Transactions on …, 2023 - Wiley Online Library
With the development of intelligent agents pursuing humanisation, artificial intelligence must
consider emotion, the most basic spiritual need in human interaction. Traditional emotional …

[HTML][HTML] Task allocation and route planning of multiple UAVs in a marine environment based on an improved particle swarm optimization algorithm

M Yan, H Yuan, J Xu, Y Yu, L Jin - EURASIP Journal on Advances in …, 2021 - Springer
Unmanned aerial vehicles (UAVs) are considered a promising example of an automatic
emergency task in a dynamic marine environment. However, the maritime communication …

[HTML][HTML] Mobility-aware proactive edge caching optimization scheme in information-centric iov networks

SS Musa, M Zennaro, M Libsie, E Pietrosemoli - Sensors, 2022 - mdpi.com
Edge caching is a promising approach to alleviate the burden on the backhaul of network
links. It has a significant role in the Internet of Vehicle (IoV) networks performance by …

A routing optimization method for software-defined optical transport networks based on ensembles and reinforcement learning

J Chen, W Xiao, X Li, Y Zheng, X Huang, D Huang… - Sensors, 2022 - mdpi.com
Optical transport networks (OTNs) are widely used in backbone-and metro-area
transmission networks to increase network transmission capacity. In the OTN, it is …

[HTML][HTML] ALBLP: adaptive load-balancing architecture based on link-state prediction in software-defined networking

J Chen, Y Wang, X Huang, X Xie, H Zhang… - … and Mobile Computing, 2022 - hindawi.com
Load-balancing optimization in software-defined networking (SDN) has been researched for
a long time. Researchers have proposed many solutions to the load-balancing problem but …

Semantic ontology enabled modeling, retrieval and inference for incomplete mobile trajectory data

M Tao - Future Generation Computer Systems, 2023 - Elsevier
Prevalence of vehicular terminals enables more and more mobile trajectory data to be
collected. To promote the intelligent urban planning, traffic management and service in …

Image segmentation using active contours with hessian-based gradient vector flow external force

Q Qian, K Cheng, W Qian, Q Deng, Y Wang - Sensors, 2022 - mdpi.com
The gradient vector flow (GVF) model has been widely used in the field of computer image
segmentation. In order to achieve better results in image processing, there are many …

[HTML][HTML] Multi-granularity scenarios understanding network for trajectory prediction

B Yang, J Yang, R Ni, C Yang, X Liu - Complex & Intelligent Systems, 2023 - Springer
Understanding agents' motion behaviors under complex scenes is crucial for intelligent
autonomous moving systems (like delivery robots and self-driving cars). It is challenging duo …

[PDF][PDF] Channel noise optimization of polar codes decoding based on a convolutional neural network

M Yan, X Lou, Y Wang - Wireless Communications and …, 2021 - downloads.hindawi.com
Polar code has the characteristics of simple coding and high reliability, and it has been used
as the control channel coding scheme of 5G wireless communication. However, its decoding …