Results 31 to 40 of about 843 (158)

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

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   +3 more sources

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
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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
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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
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Video Abnormal Event Detection Based on Optical Flow and 3DCNN

Journal of Physics: Conference Series, 2021
Abstract With the advancement of technology, the detection of abnormal events in videos has extensive theoretical and practical significance. Most events in videos are normal events, but a small number of abnormal events contain a lot of information.
Zhenjiang Li, Guangli Wu, Ye Liu, Yifan Shuai, Lei Wang   +4 more
openaire   +1 more source

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
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Detecting Asymptomatic Infections of Rice Bacterial Leaf Blight Using Hyperspectral Imaging and 3-Dimensional Convolutional Neural Network With Spectral Dilated Convolution

Frontiers in Plant Science, 2022
Rice is one of the most important food crops for human beings. Its total production ranks third in the grain crop output. Bacterial Leaf Blight (BLB), as one of the three major diseases of rice, occurs every year, posing a huge threat to rice production ...
Yifei Cao, Yifei Cao, Peisen Yuan, Huanliang Xu, José Fernán Martínez-Ortega, Jiarui Feng, Jiarui Feng, Zhaoyu Zhai   +7 more
doaj   +1 more source

Classification of Holograms with 3D-CNN

Sensors, 2022
A hologram, measured by using appropriate coherent illumination, records all substantial volumetric information of the measured sample. It is encoded in its interference patterns and, from these, the image of the sample objects can be reconstructed in ...
Dániel Terbe, László Orzó, Ákos Zarándy   +2 more
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Comparison of model selection and data bias on the prediction performance of purpleback flying squid (Sthenoteuthis oualaniensis) fishing ground in the Northwest Indian Ocean

Ecological Indicators
Purpleback flying squid (Sthenoteuthis oualaniensis, PFS) is one of the critical economically cephalopod species in the northwest Indian Ocean, and the accurate model and dataset selection are critical parameters for predicting and managing the PFS ...
Haibin Han, Bohui Jiang, Delong Xiang, Yongchuang Shi, Siyuan Liu, Chen Shang, Xinye Zhao, Heng Zhang, Yuyan Sun   +8 more
doaj   +1 more source