过去一年中添加的文章，按日期排序
A comprehensive survey on the chicken swarm optimization algorithm and its applications: state-of-the-art and research challenges
B Chen, L Cao, C Chen, Y Chen, Y Yue - Artificial Intelligence Review, 2024 - Springer
8 天前 - … Swarm intelligence optimization algorithms have been successful in machine
learning, process control, and engineering prediction throughout the years and have been shown …
learning, process control, and engineering prediction throughout the years and have been shown …
A Survey of mmWave Radar-Based Sensing in Autonomous Vehicles, Smart Homes and Industry
8 天前 - … brought new functions of sensing beyond wireless communications. A typical mmWave
… We review advanced machine learning techniques and elaborate on the insightful rela…
… We review advanced machine learning techniques and elaborate on the insightful rela…
A Review on Machine Learning for Channel Coding
8 天前 - … and machine learning in wireless … surveying some of the papers that fall under
the respective class. This paper also discusses current challenges and future machine learning …
the respective class. This paper also discusses current challenges and future machine learning …
WiFi-Based Human Sensing With Deep Learning: Recent Advances, Challenges, and Opportunities
12 天前 - … ABSTRACT The rapid advancements in wireless … This article provides a
comprehensive literature survey on the … processing methods, and machine learning (ML) …
comprehensive literature survey on the … processing methods, and machine learning (ML) …
NeWRF: A Deep Learning Framework for Wireless Radiation Field Reconstruction and Channel Prediction
13 天前 - … of wireless network deployments. Today, a wireless deployment is evaluated by a
site survey … To reduce the cost of site surveys, we develop NeWRF, which is based on recent …
site survey … To reduce the cost of site surveys, we develop NeWRF, which is based on recent …
Slice admission control in 5G cloud radio access network using deep reinforcement learning: A survey
15 天前 - … in wireless networks, especially in cloud radio access networks (C-RANs). To address
this issue, machine learning (ML) … To address these challenges, machine learning (ML) …
this issue, machine learning (ML) … To address these challenges, machine learning (ML) …
Survey of Graph Neural Network for Internet of Things and NextG Networks
S Krishna Moorthy, J Jagannath - arXiv e-prints, 2024 - ui.adsabs.harvard.edu
19 天前 - … -driven machine learning has become one of the important thrusts. In addition to
the advancement in wireless … There is a lack of a comprehensive survey that focuses on the …
the advancement in wireless … There is a lack of a comprehensive survey that focuses on the …
Intelligent Edge: The Intersection of Artificial Intelligence and Digital Communication—A Survey
21 天前 - … Authors focus on machine learning for smart wireless communications in this
segment. Mobile apps, such as smartphones, tablets, and sensors, are becoming increasingly …
segment. Mobile apps, such as smartphones, tablets, and sensors, are becoming increasingly …
Survey of Graph Neural Network for Internet of Things and NextG Networks
SK Moorthy, J Jagannath - arXiv preprint arXiv:2405.17309, 2024 - arxiv.org
22 天前 - … -driven machine learning has become one of the important thrusts. In addition to
the advancement in wireless … There is a lack of a comprehensive survey that focuses on the …
the advancement in wireless … There is a lack of a comprehensive survey that focuses on the …
Generative AI for the Optimization of Next-Generation Wireless Networks: Basics, State-of-the-Art, and Open Challenges
F Khoramnejad, E Hossain - arXiv preprint arXiv:2405.17454, 2024 - arxiv.org
28 天前 - … The survey in [29] provides a systematic analysis of the impact of adversarial machine
learning (AML) across all layers of wireless and mobile systems, from physical signals to …
learning (AML) across all layers of wireless and mobile systems, from physical signals to …