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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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 +11 more
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P3CMQA: Single-Model Quality Assessment Using 3DCNN with Profile-Based Features [PDF]
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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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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Hand Gesture Recognition for Sign Language Using 3DCNN [PDF]
IEEE Access, 2020 Recently, automatic hand gesture recognition has gained increasing importance for two principal reasons: the growth of the deaf and hearing-impaired population, and the development of vision-based applications and touchless control on ubiquitous devices.
Muneer Al-Hammadi +5 more
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Low Frequency Vibration Visual Monitoring System Based on Multi-Modal 3DCNN-ConvLSTM [PDF]
Sensors, 2020 Low frequency vibration monitoring has significant implications on environmental safety and engineering practices. Vibration expressed by visual information should contain sufficient spatial information.
Alimina Alimasi +2 more
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Computer-aided diagnosis based on 3D deep convolutional neural network system using novel 3D magnetic resonance imaging sequences for high-grade prostate cancer [PDF]
Current Urology. Background. With the rising incidence of prostate cancer (PCa), there is a global demand for assistive tools that aid in the diagnosis of high-grade PCa.
Ryo Oka +7 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 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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