Results 31 to 40 of about 6,781,577 (302)
Six-layer Optimized Convolutional Neural Network for Lip Language Identification
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]
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
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]
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]
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]
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
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
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]
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
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

