Results 21 to 30 of about 843 (158)

Research on unloading drill-rod action identification in coal mine water exploratio

Gong-kuang zidonghua, 2020
In view of low efficiency and error prone problems in the way that supervisors of underground water exploration operation realize monitoring of unloading drill-rod operation by watching video, 3D convolutional neural network (3DCNN) model is proposed to ...
DANG Weichao, YAO Yuan, BAI Shangwang, GAO Gaimei, WU Zhefeng   +4 more
doaj   +1 more source

Automatic Recognition of Colon and Esophagogastric Cancer with Machine Learning and Hyperspectral Imaging

Diagnostics, 2021
There are approximately 1.8 million diagnoses of colorectal cancer, 1 million diagnoses of stomach cancer, and 0.6 million diagnoses of esophageal cancer each year globally.
Toby Collins, Marianne Maktabi, Manuel Barberio, Valentin Bencteux, Boris Jansen-Winkeln, Claire Chalopin, Jacques Marescaux, Alexandre Hostettler, Michele Diana, Ines Gockel   +9 more
doaj   +1 more source

Par3DNet: Using 3DCNNs for Object Recognition on Tridimensional Partial Views [PDF]

Applied Sciences, 2020
Deep learning-based methods have proven to be the best performers when it comes to object recognition cues both in images and tridimensional data. Nonetheless, when it comes to 3D object recognition, the authors tend to convert the 3D data to images and then perform their classification. However, despite its accuracy, this approach has some issues.
Francisco Gomez-Donoso, Felix Escalona, Miguel Cazorla   +2 more
openaire   +3 more sources

Three-Stream 3D deep CNN for no-Reference stereoscopic video quality assessment

Intelligent Systems with Applications, 2022
Convolutional Neural Networks (CNNs) have achieved great success in learning computer vision tasks, particularly 3D CNNs, for extracting spatio-temporal features from the given videos.
Hassan Imani, Md Baharul Islam, Nafiz Arica   +2 more
doaj   +1 more source

Deep Spatiotemporal Convolutional-Neural-Network-Based Remaining Useful Life Estimation of Bearings

Chinese Journal of Mechanical Engineering, 2021
The remaining useful life (RUL) estimation of bearings is critical for ensuring the reliability of mechanical systems. Owing to the rapid development of deep learning methods, a multitude of data-driven RUL estimation approaches have been proposed ...
Xu Wang, Tianyang Wang, Anbo Ming, Qinkai Han, Fulei Chu, Wei Zhang, Aihua Li   +6 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

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

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