Results 1 to 10 of about 912,248 (296)

Passive Beamforming Design of IRS-Assisted MIMO Systems Based on Deep Learning

Sensors, 2023
In the intelligent reflecting surface (IRS)-assisted MIMO systems, optimizing the passive beamforming of the IRS to maximize spectral efficiency is crucial.
Hui Zhang, Qiming Jia, Meikun Li, Jingjing Wang, Yuxin Song   +4 more
doaj   +1 more source

Modeling and Optimization of LoRa Networks under Multiple Constraints

Sensors, 2023
With the access of massive terminals of the Internet of Things (IoT), the low-power wide-area networks (LPWAN) applications represented by Long Range Radio (LoRa) will grow extensively in the future.
Hui Zhang, Yuxin Song, Maoheng Yang, Qiming Jia   +3 more
doaj   +1 more source

Comparing Performance of Deep Convolution Networks in Reconstructing Soliton Molecules Dynamics from Real-Time Spectral Interference

Photonics, 2021
Deep neural networks have enabled the reconstruction of optical soliton molecules with more complex structures using the real-time spectral interferences obtained by photonic time-stretch dispersive Fourier transformation (TS-DFT) technology.
Caiyun Li, Jiangyong He, Yange Liu, Yang Yue, Luhe Zhang, Longfei Zhu, Mengjie Zhou, Congcong Liu, Kaiyan Zhu, Zhi Wang   +9 more
doaj   +1 more source

Power minimization for GSIC-based uplink cell-free massive MIMO-NOMA systems

EURASIP Journal on Advances in Signal Processing, 2022
Non-orthogonal multiple access (NOMA) and multiple-input multiple-output (MIMO) are considered promising techniques to satisfy the demands for high spectrum efficiency and massive connectivity in future wireless communication.
Tao Cui, Chengcheng Liu, Peng Du, Rongfang Song   +3 more
doaj   +1 more source

Optical Machine Learning Using Time-Lens Deep Neural NetWorks

Photonics, 2021
As a high-throughput data analysis technique, photon time stretching (PTS) is widely used in the monitoring of rare events such as cancer cells, rough waves, and the study of electronic and optical transient dynamics.
Luhe Zhang, Caiyun Li, Jiangyong He, Yange Liu, Jian Zhao, Huiyi Guo, Longfei Zhu, Mengjie Zhou, Kaiyan Zhu, Congcong Liu, Zhi Wang   +10 more
doaj   +1 more source

Moving Object Detection With Deep CNNs

IEEE Access, 2020
In large field of view for open country, the real-time detection and identification of moving objects with high accuracy is a very challenging work due to the excessive amount of data.
Haidi Zhu, Xin Yan, Hongying Tang, Yuchao Chang, Baoqing Li, Xiaobing Yuan   +5 more
doaj   +1 more source

Noise-resistant network: a deep-learning method for face recognition under noise

EURASIP Journal on Image and Video Processing, 2017
Along with the developments of deep learning, many recent architectures have been proposed for face recognition and even get close to human performance.
Yuanyuan Ding, Yongbo Cheng, Xiaoliu Cheng, Baoqing Li, Xing You, Xiaobing Yuan   +5 more
doaj   +1 more source

Analysis of real-time spectral interference using a deep neural network to reconstruct multi-soliton dynamics in mode-locked lasers

APL Photonics, 2020
The dynamics of optical soliton molecules in ultrafast lasers can reveal the intrinsic self-organized characteristics of dissipative systems. The photonic time-stretch dispersive Fourier transformation (TS-DFT) technology provides an effective method to ...
Caiyun Li, Jiangyong He, Ruijing He, Yange Liu, Yang Yue, Weiwei Liu, Luhe Zhang, Longfei Zhu, Mengjie Zhou, Kaiyan Zhu, Zhi Wang   +10 more
doaj   +1 more source

Robust Resource Allocation for Indoor Self-Blockage Millimeter Wave Device-to-Device Communications

IEEE Open Journal of the Communications Society, 2022
The advancement of millimeter wave (mmWave) technology can meet the requirements of large amounts of data communications among intelligent devices for indoor scenarios. However, reducing interference in an enclosed region is still challenging because the
Haie Dou, Xiaoting Yu, Bin Kang, Mingkai Chen, Lei Wang, Baoyu Zheng   +5 more
doaj   +1 more source

A multi-modal event detection system for river and coastal marine monitoring applications [PDF]

, 2011
—This work is investigating the use of a multi-modal sensor network where visual sensors such as cameras and satellite imagers, along with context information can be used to complement and enhance the usefulness of a traditional in-situ sensor network ...
O'Connor, Edel, O'Connor, Noel E., Smeaton, Alan F.   +2 more
core   +1 more source