Results 51 to 60 of about 6,781,577 (302)
DTV-CNN: Neural network based on depth and thickness views for efficient 3D shape classification
Heliyon, 2023 Fast and effective algorithms for deep learning on 3D shapes are keys to innovate mechanical and electronic engineering design workflow. In this paper, an efficient 3D shape to 2D images projection algorithm and a shallow 2.5D convolutional neural ...
Qingfeng Xia
doaj +1 more source
Convolutional neural network related.
, 2022 Convolutional neural network related.
Ding Han (4857559) +7 more
core +1 more source
Advances in Civil Engineering, 2022 Currently, most predictions related to bridge geometry use shallow neural networks, which limit the network’s ability to fit since the input form limits the depth of the neural network.
Kejian Hu, Xiaoguang Wu
doaj +1 more source
Synergistic 2D/3D Convolutional Neural Network for Hyperspectral Image Classification
, 2020 Accurate hyperspectral image classification has been an important yet challenging task for years. With the recent success of deep learning in various tasks, 2-dimensional (2D)/3-dimensional (3D) convolutional neural networks (CNNs) have been exploited to
Lau, Raymond Y. K. +13 more
core +1 more source
ON SELECTING IMAGES FROM AN UNAIMED VIDEO STREAM FOR PHOTOGRAMMETRIC MODELLING [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 In this paper, we illustrate how convolutional neural networks and voxel-based processing together with voxel visualizations can be utilized for the selection of unaimed images for a photogrammetric image block.
P. Rönnholm +3 more
doaj +1 more source
CBIR system using Capsule Networks and 3D CNN for Alzheimer's disease diagnosis
Informatics in Medicine Unlocked, 2019 Alzheimer’s disease (AD) is an irreversible disorder of the brain related to loss of memory, commonly seen in the elderly and aging population. Implementation of revolutionary computer aided diagnosis techniques with Content Based Image Retrieval (CBIR ...
K.R. Kruthika +2 more
doaj +1 more source
IEEE Access, 2020 3D Instance segmentation is a fundamental task in computer vision. Effective segmentation plays an important role in robotic tasks, augmented reality, autonomous driving, etc.
Yajun Xu +3 more
doaj +1 more source
Hierarchical Graph Attention Based Multi-View Convolutional Neural Network for 3D Object Recognition
IEEE Access, 2021 For multi-view convolutional neural network based 3D object recognition, how to fuse the information of multiple views is a key factor affecting the recognition performance. Most traditional methods use max-pooling algorithm to obtain the final 3D object
Hui Zeng +4 more
doaj +1 more source
Automated Hand Flexor Tendon–Thickness Measurement in Systemic Sclerosis
Arthritis Care &Research, EarlyView.Objective Systemic sclerosis (SSc) can affect flexor tendons, contributing to hand function problems and reduced quality of life. Tendon changes are currently assessed with ultrasonography and measured manually, a time‐consuming process prone to interobserver variability.
Mark Greveling +4 more
wiley +1 more source
Image Level Training and Prediction: Intracranial Hemorrhage Identification in 3D Non-Contrast CT
IEEE Access, 2019 Current hardware restrictions pose limitations on the use of convolutional neural networks for medical image analysis. There is a large trade-off between network architecture and input image size.
Ajay Patel +4 more
doaj +1 more source