Results 31 to 40 of about 11,014,670 (216)

Adaptive Neural Signal Detection for Massive MIMO [PDF]

IEEE Transactions on Wireless Communications, 2019
Traditional symbol detection algorithms either perform poorly or are impractical to implement for Massive Multiple-Input Multiple-Output (MIMO) systems. Recently, several learning-based approaches have achieved promising results on simple channel models (
Mehrdad Khani, Mohammad Alizadeh, J. Hoydis, Phil Fleming   +3 more
semanticscholar   +1 more source

MSRN and Multi-Headed Attention Mechanism for Language Identification

Information, 2022
With the popularity of the mobile internet, people all over the world can easily create and publish diverse media content such as multilingual and multi-dialectal audio and video.
Ailing Zeng, Mijit Ablimit, Askar Hamdulla   +2 more
doaj   +1 more source

MIMO-OTFS in High-Doppler Fading Channels: Signal Detection and Channel Estimation [PDF]

Global Communications Conference, 2018
Orthogonal time frequency space (OTFS) modulation is a recently introduced multiplexing technique designed in the 2-dimensional (2D) delay-Doppler domain suited for high-Doppler fading channels.
M. Ramachandran, A. Chockalingam
semanticscholar   +1 more source

MSFusion: Multistage for Remote Sensing Image Spatiotemporal Fusion Based on Texture Transformer and Convolutional Neural Network

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Due to the limitations of current technology and budget, a single satellite sensor cannot obtain high spatiotemporal resolution remote sensing images.
Guangqi Yang, Yurong Qian, Hui Liu, Bochuan Tang, Ranran Qi, Yi Lu, Jun Geng   +6 more
doaj   +1 more source

CRED: A Deep Residual Network of Convolutional and Recurrent Units for Earthquake Signal Detection [PDF]

Scientific Reports, 2018
Earthquake signal detection is at the core of observational seismology. A good detection algorithm should be sensitive to small and weak events with a variety of waveform shapes, robust to background noise and non-earthquake signals, and efficient for ...
Mostafa Mousavi, Weiqiang Zhu, Y. Sheng, G. Beroza   +3 more
semanticscholar   +1 more source

An Efficient Codebook Design for Uplink SCMA

IEEE Access, 2020
Sparse code multiple access (SCMA) is one of the most intensively investigated non-orthogonal multiple access (NOMA) techniques for the fifth generation communication (5G) system. In this paper, a new multi-stage optimization approach for codebook design
Mengyao Gao, Wenping Ge, Pengju Zhang, Yongxing Zhang   +3 more
doaj   +1 more source

Medical QA Oriented Multi-Task Learning Model for Question Intent Classification and Named Entity Recognition

Information, 2022
Intent classification and named entity recognition of medical questions are two key subtasks of the natural language understanding module in the question answering system.
Turdi Tohti, Mamatjan Abdurxit, Askar Hamdulla   +2 more
doaj   +1 more source

Multiple poles resonances coupling with high sensitivity sensing for multiple bulging black phosphorus-based metasurface

New Journal of Physics, 2023
Herein, a multiple bulging black phosphorus (BP)-based metasurface is proposed for studying its reflection responses and sensing performances through the finite-difference time-domain simulation method. It is shown that, the reflection dips are caused by
Nengxun Yang, Yixuan Wang, Lingqiao Li, Yang Ren, Zhihui He, Wei Cui, Zhimin Yang, Shaojun Lu, Xiongxiong Wu, Lang Bai   +9 more
doaj   +1 more source

Use AF-CNN for End-to-End Fiber Vibration Signal Recognition

IEEE Access, 2021
Traditional optical fiber vibration signal (OFVS) recognition research focuses on signal endpoint detection and feature extraction. These two aspects directly determine the success of OFVS recognition.
Saisai Ruan, Jiaqing Mo, Liang Xu, Gang Zhou, Yajun Liu, Xin Zhang   +5 more
doaj   +1 more source

Object Detection Based on YOLOv5 and GhostNet for Orchard Pests

Information, 2022
Real-time detection and identification of orchard pests is related to the economy of the orchard industry. Using lab picture collections and pictures from web crawling, a dataset of common pests in orchards has been created.
Yitao Zhang, Weiming Cai, Shengli Fan, Ruiyin Song, Jing Jin   +4 more
doaj   +1 more source