Human Activity Classification Using the 3DCNN Architecture [PDF]
Applied Sciences, 2022 Interest in utilizing neural networks in a variety of scientific and academic studies and in industrial applications is increasing. In addition to the growing interest in neural networks, there is also a rising interest in video classification.
Roberta Vrskova +3 more
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Remote Sensing, 2022 Hyperspectral Remote Rensing Image (HRSI) classification based on Convolution Neural Network (CNN) has become one of the hot topics in the field of remote sensing.
Wenmei Li +5 more
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P3CMQA: Single-Model Quality Assessment Using 3DCNN with Profile-Based Features
Bioengineering, 2021 Model quality assessment (MQA), which selects near-native structures from structure models, is an important process in protein tertiary structure prediction.
Yuma Takei, Takashi Ishida
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Prediction of heavy metal spatial distribution in soils of typical industrial zones utilizing 3D convolutional neural networks [PDF]
Scientific ReportsLand resources are vital for urban development and construction. Abandoned industrial areas often contain large amounts of heavy metals from past industrial activities.
Chao Liu +5 more
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Spectral–Structural Collaborative Learning for Fine-Grained Hyperspectral Mineral Classification [PDF]
SensorsFine-grained hyperspectral mineral classification remains challenging due to spectral homogeneity among minerals with different morphologies, severe spectral mixing from intergrowth, and high dimensionality. Existing methods rely on spectral separability
Yichun Qiu +4 more
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Smart Grain Storage Solution: Integrated Deep Learning Framework for Grain Storage Monitoring and Risk Alert [PDF]
FoodsIn order to overcome the notable limitations of current methods for monitoring grain storage states, particularly in the early warning of potential risks and the analysis of the spatial distribution of grain temperatures within the granary, this study ...
Xinze Li +6 more
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A spatial interpolation method based on 3D-CNN for soil petroleum hydrocarbon pollution. [PDF]
PLoS ONEPetroleum hydrocarbon pollution causes significant damage to soil, so accurate prediction and early intervention are crucial for sustainable soil management.
Sheng Miao +6 more
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Automated assessment of simulated laparoscopic surgical skill performance using deep learning [PDF]
Scientific ReportsArtificial intelligence (AI) has the potential to improve healthcare and patient safety and is currently being adopted across various fields of medicine and healthcare.
David Power +3 more
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A New Deep-Learning Method for Human Activity Recognition
Sensors, 2023 Currently, three-dimensional convolutional neural networks (3DCNNs) are a popular approach in the field of human activity recognition. However, due to the variety of methods used for human activity recognition, we propose a new deep-learning model in ...
Roberta Vrskova +3 more
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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 +4 more
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