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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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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International Journal of Digital EarthAccurate simulation of land use/cover change (LUCC) is crucial for societal development. LUCC is a nonlinear spatiotemporal process with complicated relationships and latent dependencies on spatial and temporal neighborhoods.
Wei Yang +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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Lip-Reading Classification of Turkish Digits Using Ensemble Learning Architecture Based on 3DCNN
Applied SciencesUnderstanding 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
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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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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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Combining transformer and 3DCNN models to achieve co-design of structures and sequences of antibodies in a diffusional manner. [PDF]
J Pharm AnalAntibody drugs are among the fastest growing therapeutic modalities in modern drug research and development. Due to the huge search space of antibody sequences, the traditional experimental screening method cannot fully meet the needs of antibody ...
Hu Y +5 more
europepmc +2 more sources
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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