Results 31 to 40 of about 3,348 (214)

Lite-3DCNN Combined with Attention Mechanism for Complex Human Movement Recognition

Computational Intelligence and Neuroscience, 2022
Three-dimensional convolutional network (3DCNN) is an essential field of motion recognition research. The research work of this paper optimizes the traditional three-dimensional convolution network, introduces the self-attention mechanism, and proposes a new network model to analyze and process complex human motion videos.
Maochang Zhu, Sheng Bin, Gengxin Sun
openaire   +2 more sources

Mapping of the Language Network With Deep Learning

Frontiers in Neurology, 2020
Background: Pre-surgical functional localization of eloquent cortex with task-based functional MRI (T-fMRI) is part of the current standard of care prior to resection of brain tumors.
Patrick Luckett, John J. Lee, Ki Yun Park, Donna Dierker, Andy G. S. Daniel, Benjamin A. Seitzman, Carl D. Hacker, Beau M. Ances, Eric C. Leuthardt, Eric C. Leuthardt, Abraham Z. Snyder, Abraham Z. Snyder, Joshua S. Shimony   +12 more
doaj   +1 more source

Performance Analysis of 3D Video Transmission Over Deep-Learning-Based Multi-Coded N-ary Orbital Angular Momentum FSO System

IEEE Access, 2021
Orbital angular momentum-shift keying (OAM-SK), which is the rapid switching of OAM modes, is vital but seriously impeded by the deficiency of OAM demodulation techniques, particularly when videos are transmitted over the system.
Shimaa A. El-Meadawy, Hossam M. H. Shalaby, Nabil A. Ismail, Ahmed E. A. Farghal, Fathi E. Abd El-Samie, Mohammed Abd-Elnaby, Walid El-Shafai   +6 more
doaj   +1 more source

Classification of multi-year and multi-variety pumpkin seeds using hyperspectral imaging technology and three-dimensional convolutional neural network

Plant Methods, 2023
Background Pumpkin seeds are major oil crops with high nutritional value and high oil content. The collection and identification of different pumpkin germplasm resources play a significant role in the realization of precision breeding and variety ...
Xiyao Li, Xuping Feng, Hui Fang, Ningyuan Yang, Guofeng Yang, Zeyu Yu, Jia Shen, Wei Geng, Yong He   +8 more
doaj   +1 more source

Response of the Northwest Indian Ocean purpleback flying squid (Sthenoteuthis oualaniensis) fishing grounds to marine environmental changes and its prediction model construction based on multi-models and multi-spatial and temporal scales

Ecological Indicators, 2023
Climate change has posed a great challenge to global fisheries harvesting. Purpleback flying squid (Sthenoteuthis oualaniensis) is a major economic cephalopod in the northwestern Indian Ocean waters, but how to choose the optimal spatiotemporal scales ...
Haibin Han, Bohui Jiang, Yongchuang Shi, Peiwen Jiang, Heng Zhang, Chen Shang, Yuyan Sun, Yang Li, Delong Xiang   +8 more
doaj   +1 more source

Multiple Spectral Resolution 3D Convolutional Neural Network for Hyperspectral Image Classification

Remote Sensing, 2021
In recent years, benefiting from the rapid development of deep learning technology in the field of computer vision, the study of hyperspectral image (HSI) classification has also made great progress.
Hao Xu, Wei Yao, Li Cheng, Bo Li
doaj   +1 more source

An Early Diagnosis of Oral Cancer based on Three-Dimensional Convolutional Neural Networks [PDF]

, 2019
Three-dimensional convolutional neural networks (3DCNNs), a rapidly evolving modality of deep learning, has gained popularity in many fields. For oral cancers, CT images are traditionally processed using two-dimensional input, without considering ...
Chen, Sirui, Hu, Wenwen, Liu, Chang, Liu, Yong, Lu, Yiwen, Ng, Eddie Y. K., Wang, Yongtong, Wang, Yunsheng, Xu, Shipu, Yang, Longzhi, Zhang, Chenxi, Zong, Yongshuo   +11 more
core   +1 more source

Deep Neural Networks Using Residual Fast-Slow Refined Highway and Global Atomic Spatial Attention for Action Recognition and Detection

IEEE Access, 2021
In this work, we propose two Deep Neural Networks, DNN-1 and DNN-2, based on residual Fast-Slow Refined Highway (FSRH) and Global Atomic Spatial Attention (GASA) to effectively recognize and detect actions.
Manh-Hung Ha, Oscal Tzyh-Chiang Chen
doaj   +1 more source

Learning Spatiotemporal Features of CSI for Indoor Localization With Dual-Stream 3D Convolutional Neural Networks

IEEE Access, 2019
Recently, the research of WiFi-based indoor localization combing with deep-learning techniques has earned wide attention due to its potential applications in smart cities.
Yuan Jing, Jinshan Hao, Peng Li
doaj   +1 more source

Non-destructive detection of single-seed viability in maize using hyperspectral imaging technology and multi-scale 3D convolutional neural network

Frontiers in Plant Science, 2023
The viability of Zea mays seed plays a critical role in determining the yield of corn. Therefore, developing a fast and non-destructive method is essential for rapid and large-scale seed viability detection and is of great significance for agriculture ...
Yaoyao Fan, Yaoyao Fan, Ting An, Qingyan Wang, Guang Yang, Wenqian Huang, Zheli Wang, Chunjiang Zhao, Chunjiang Zhao, Xi Tian   +9 more
doaj   +1 more source