A Generalized Nesterov-Accelerated Second-Order Latent Factor Model for High-Dimensional and Incomplete Data

W Li, R Wang, X Luo - IEEE Transactions on Neural Networks …, 2023 - ieeexplore.ieee.org
High-dimensional and incomplete (HDI) data are frequently encountered in big date-related
applications for describing restricted observed interactions among large node sets. How to …

[HTML][HTML] Fuzzy logic based cross-layer design to improve Quality of Service in Mobile ad-hoc networks for Next-gen Cyber Physical System

N Hasan, A Mishra, AK Ray - Engineering Science and Technology, an …, 2022 - Elsevier
Abstract 5G standard by 3GGP has provision for Device-to-Device (D2D) communication
over a Wireless Mobile Ad-hoc Network (MANET) framework. Recent research and …

Exploring the Potential of Cyber Manufacturing System in the Digital Age

U Ahmed, JCW Lin, G Srivastava - ACM Transactions on Internet …, 2023 - dl.acm.org
Cyber-manufacturing Systems (CMS) have been growing in popularity, transitioning from
conventional manufacturing to an innovative paradigm that emphasizes innovation …

FlowerCast: Efficient Time-Sensitive Multicast in Wireless Sensor Networks with Link Uncertainty

J Tang, L Fu, S Liang, F Long, L Zhou, X Wang… - ACM Transactions on …, 2023 - dl.acm.org
This article studies time-sensitive multicast in wireless sensor networks (WSNs) with link
uncertainty, where information from the source needs to be delivered to multiple receivers …

MDQ: A QoS-Congestion Aware Deep Reinforcement Learning Approach for Multi-Path Routing in SDN

LPA Sanchez, Y Shen, M Guo - Journal of Network and Computer …, 2025 - Elsevier
The challenge of link overutilization in networking persists, prompting the development of
load-balancing methods such as multi-path strategies and flow rerouting. However …

Routing Protocols and Their Performance in Mobile Ad hoc Networks: A Quality of Service Optimization Perspective

RH Sing, VB Narsimha - 2022 OPJU International Technology …, 2023 - ieeexplore.ieee.org
Mobile Ad Hoc Network (MANET) is the collection of self-configured mobile nodes
withoutthe need for any fixed infrastructure. Since mobile nodes participating in MANET can …

[PDF][PDF] A Novel Gradient Boosted Energy Optimization Model (GBEOM) for MANET.

N Veeraiah, Y Alotaibi, S Alghamdi… - Comput. Syst. Sci …, 2023 - cdn.techscience.cn
Mobile Ad Hoc Network (MANET) is an infrastructure-less network that is comprised of a set
of nodes that move randomly. In MANET, the overall performance is improved through …

COCAM: a cooperative video edge caching and multicasting approach based on multi-agent deep reinforcement learning in multi-clouds environment

R Shi, Q Fan, S Fu, X Zhang, X Li, M Chen - Journal of Cloud Computing, 2023 - Springer
The evolution of the Internet of Things technology (IoT) has boosted the drastic increase in
network traffic demand. Caching and multicasting in the multi-clouds scenario are effective …

Age-minimal Multicast by Graph Attention Reinforcement Learning

Y Zhang, G Liao, S Cao, N Yang, M Zhang - arXiv preprint arXiv …, 2024 - arxiv.org
Age of Information (AoI) is an emerging metric used to assess the timeliness of information,
gaining research interest in real-time multicast applications such as video streaming and …

Multipath Route Optimization with Multiple QoS Constraints Based on Intuitionistic Fuzzy Set Theory

P Ren, R Zhang, S Luo - Wireless Communications and Mobile …, 2023 - Wiley Online Library
In wireless networks, a change in network state is unpredictable because of the movement
of network nodes, which is not conducive to the stability of the network and poses an …