Results 11 to 20 of about 1,313 (183)

BEMD-3DCNN-based method for COVID-19 detection

Computers in Biology and Medicine, 2022
The coronavirus outbreak continues to spread around the world and no one knows when it will stop. Therefore, from the first day of the identification of the virus in Wuhan, China, scientists have launched numerous research projects to understand the nature of the virus, how to detect it, and search for the most effective medicine to help and protect ...
Ali Riahi, Omar Elharrouss, Somaya Al-Máadeed   +2 more
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Lip-Reading Classification of Turkish Digits Using Ensemble Learning Architecture Based on 3DCNN

Applied Sciences
Understanding others correctly is of great importance for maintaining effective communication. Factors such as hearing difficulties or environmental noise can disrupt this process. Lip reading offers an effective solution to these challenges.
Ali Erbey, Necaattin Barışçı
doaj   +2 more sources

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
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An enhanced 3DCNN‐ConvLSTM for spatiotemporal multimedia data analysis

Concurrency and Computation: Practice and Experience, 2019
SummaryAt present, human action recognition is a challenging and complex task in the field of computer vision. The combination of CNN and RNN is a common and effective network structure for this task. Especially, we use 3DCNN in CNN part and ConvLSTM in RNN part.
Wang, Tian, Li, Jiakun, Zhang, Mengyi, Zhu, Aichun, Snoussi, Hichem, Choi, Chang   +5 more
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Protein model accuracy estimation based on local structure quality assessment using 3D convolutional neural network.

PLoS ONE, 2019
In protein tertiary structure prediction, model quality assessment programs (MQAPs) are often used to select the final structural models from a pool of candidate models generated by multiple templates and prediction methods.
Rin Sato, Takashi Ishida
doaj   +2 more sources

3DCNN landslide susceptibility considering spatial-factor features

Frontiers in Environmental Science, 2023
Effective landslide disaster risk management contributes to sustainable development. A useful method for emergency management and landslide avoidance is Landslide Susceptibility Mapping (LSM).
Mengmeng Liu, Mengmeng Liu, Jiping Liu, Jiping Liu, Shenghua Xu, Shenghua Xu, Cai Chen, Shuai Bao, Shuai Bao, Zhuolu Wang, Zhuolu Wang, Jun Du   +11 more
doaj   +2 more sources

Resting state network mapping in individuals using deep learning [PDF]

Frontiers in Neurology, 2023
IntroductionResting state functional MRI (RS-fMRI) is currently used in numerous clinical and research settings. The localization of resting state networks (RSNs) has been utilized in applications ranging from group analysis of neurodegenerative diseases
Patrick H. Luckett, John J. Lee, Ki Yun Park, Ryan V. Raut, Ryan V. Raut, Karin L. Meeker, Evan M. Gordon, Abraham Z. Snyder, Abraham Z. Snyder, Beau M. Ances, Eric C. Leuthardt, Eric C. Leuthardt, Eric C. Leuthardt, Eric C. Leuthardt, Eric C. Leuthardt, Eric C. Leuthardt, Eric C. Leuthardt, Joshua S. Shimony   +17 more
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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
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Clean fishing: Construction of prediction model for high-catch Antarctic krill (Euphausia superba) fishing grounds based on deep learning and dynamic sliding window methods

Ecological Informatics
Achieving energy-efficient, precise, and overall efficient production of Antarctic krill (Euphausia superba) is critical for realizing sustainable and ecological fisheries in the context of ongoing natural and anthropogenic climate change. In this study,
Haibin Han, Bohui Jiang, Hongliang Huang, Yang Li, Jianghua Sui, Guoqing Zhao, Yuhan Wang, Heng Zhang, Shenglong Yang, Yongchuang Shi   +9 more
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A 3DCNN-Based Knowledge Distillation Framework for Human Activity Recognition

Journal of Imaging, 2023
Human action recognition has been actively explored over the past two decades to further advancements in video analytics domain. Numerous research studies have been conducted to investigate the complex sequential patterns of human actions in video streams.
Hayat Ullah, Arslan Munir
openaire   +5 more sources