Results 31 to 40 of about 6,781,577 (302)

Six-layer Optimized Convolutional Neural Network for Lip Language Identification

open access: yesEAI Endorsed Transactions on e-Learning, 2021
INTRODUCTION: Lip language is one of the most important communication methods in social life for people with hearing impairment and impaired expression ability.
Yifei Qiao   +7 more
doaj   +1 more source

Exploring Temporal Differences in 3D Convolutional Neural Networks [PDF]

open access: yes, 2020
Traditional 3D convolutions are computationally expensive, memory intensive, and due to large number of parameters, they often tend to overfit. On the other hand, 2D CNNs are less computationally expensive and less memory intensive than 3D CNNs and have shown remarkable results in applications like image classification and object recognition.
Gagan Kanojia   +2 more
openaire   +2 more sources

Deep Neural Network for 3D Shape Classification Based on Mesh Feature

open access: yesSensors, 2022
Virtual reality, driverless cars, and robotics all make extensive use of 3D shape classification. One of the most popular ways to represent 3D data is with polygonal meshes. In particular, triangular mesh is frequently employed.
Mengran Gao   +3 more
doaj   +1 more source

3D convolutional neural networks for stalled brain capillary detection [PDF]

open access: yesComputers in Biology and Medicine, 2022
Adequate blood supply is critical for normal brain function. Brain vasculature dysfunctions such as stalled blood flow in cerebral capillaries are associated with cognitive decline and pathogenesis in Alzheimer's disease. Recent advances in imaging technology enabled generation of high-quality 3D images that can be used to visualize stalled blood ...
Roman A. Solovyev   +2 more
openaire   +5 more sources

Deep spatiotemporal human activity recognition using an optimized 3D CNN model [PDF]

open access: yesPeerJ Computer Science
Surveillance video systems have become indispensable in modern societies for monitoring human activity and detecting abnormal behavior across both public and private environments.
Hamada I. AbdulWakel   +5 more
doaj   +2 more sources

Neural networks based recognition of 3D freeform surface from 2D sketch [PDF]

open access: yes, 2005
In this paper, the Back Propagation (BP) network and Radial Basis Function (RBF) neural network are employed to recognize and reconstruct 3D freeform surface from 2D freehand sketch.
Wright, David   +8 more
core   +1 more source

3D CAD model classification based on Convolutional Neural Network

open access: yesJournal of Harbin University of Science and Technology, 2020
Due to the intrinsic complexity of 3D CAD models, the automatic model classification methods are scarce. In this paper, an automatic 3D CAD model classification approach based on Convolutional Neural Network (CNN) is proposed.
DING Bo, YI Ming
doaj   +1 more source

Automatic identification of schizophrenia based on EEG signals using dynamic functional connectivity analysis and 3D convolutional neural network

open access: yes, 2023
Schizophrenia (ScZ) is a devastating mental disorder of the human brain that causes a serious impact of emotional inclinations, quality of personal and social life and healthcare systems.
Wen, Peng   +7 more
core   +1 more source

AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using the Ensemble of 3D-Convolutional Neural Network [PDF]

open access: yes, 2020
Accurate prediction of the binding affinity of a protein-ligand complex is essential for efficient and successful rational drug design. In this work, a new neural network model that predicts the binding affinity of a protein-ligand complex structure is ...
Yongbeom, Kwon   +3 more
core   +1 more source

Research on 3D Reconstruction of Furniture Based on Differentiable Renderer

open access: yesIEEE Access, 2022
Due to the self-obscuration, traditional 3D reconstruction algorithms have difficulty in recovering the 3D structure of an object from a single image. With the rapid development of convolutional neural networks, 3D reconstruction based on deep learning ...
Yalin Miao   +3 more
doaj   +1 more source

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