Results 81 to 90 of about 849,090 (345)

Autonomous Control of Extrusion Bioprinting Using Convolutional Neural Networks

Advanced Functional Materials, EarlyView.
This work presents a novel computer vision system for high‐fidelity monitoring of extrusion‐based bioprinting and a correction system utilizing convolutional neural networks for error mitigation. This system has demonstrated high detection accuracy and extrusion correction abilities that advance the state of the art toward accelerated printing ...
Daniel Kelly, Vasileios Sergis, Laura Ventura i Blanco, Karl Mason, Andrew C. Daly   +4 more
wiley   +1 more source

Research on Medical Data Feature Extraction and Intelligent Recognition Technology Based on Convolutional Neural Network

IEEE Access, 2019
In order to mine information from medical health data and develop intelligent application-related issues, the multi-modal medical health data feature representation learning related content was studied, and several feature learning models were proposed ...
Weidong Liu, Caixia Qin, Kun Gao, Heng Li, Zuen Qin, Yafei Cao, Wen Si   +6 more
doaj   +1 more source

ILP-M Conv: Optimize Convolution Algorithm for Single-Image Convolution Neural Network Inference on Mobile GPUs [PDF]

arXiv, 2019
Convolution neural networks are widely used for mobile applications. However, GPU convolution algorithms are designed for mini-batch neural network training, the single-image convolution neural network inference algorithm on mobile GPUs is not well-studied.
arxiv  

Dense-Sparse Deep Convolutional Neural Networks Training for Image Denoising [PDF]

arXiv, 2021
Recently, deep learning methods such as the convolutional neural networks have gained prominence in the area of image denoising. This is owing to their proven ability to surpass state-of-the-art classical image denoising algorithms such as block-matching and 3D filtering algorithm.
arxiv  

Biodegradable, Humidity‐Insensitive Mask‐Integrated E‐Nose for Sustainable and Non‐Invasive Continuous Breath Analysis

Advanced Functional Materials, EarlyView.
This study introduces a paper‐based biodegradable, humidity‐insensitive e‐nose for real‐time breath analysis, addressing challenges in existing technologies such as humidity interference, high costs, and environmental impact. Featuring hydrophobic polymer coatings, these sensors reliably detect VOCs even in high‐moisture environments.
Indrajit Mondal, Adan Zoabi, Hossam Haick   +2 more
wiley   +1 more source

Kernel-based Translations of Convolutional Networks [PDF]

arXiv, 2019
Convolutional Neural Networks, as most artificial neural networks, are commonly viewed as methods different in essence from kernel-based methods. We provide a systematic translation of Convolutional Neural Networks (ConvNets) into their kernel-based counterparts, Convolutional Kernel Networks (CKNs), and demonstrate that this perception is unfounded ...
arxiv  

Integration of Perovskite/Low‐Dimensional Material Heterostructures for Optoelectronics and Artificial Visual Systems

Advanced Functional Materials, EarlyView.
Heterojunctions combining halide perovskites with low‐dimensional materials enhance optoelectronic devices by enabling precise charge control and improving efficiency, stability, and speed. These synergies advance flexible electronics, wearable sensors, and neuromorphic computing, mimicking biological vision for real‐time image analysis and intelligent
Yu‐Jin Du, Junjie Yang, Ziyu Lv, Yongbiao Zhai, Zezhuang Yi, Yuhui Xie, Ming‐Lin Zheng, Xiangyu Ma, Guodong Gong, Yan Wang, Ye Zhou, Su‐Ting Han   +11 more
wiley   +1 more source

Convolutional Neural Networks In Convolution

, 2018
Currently, increasingly deeper neural networks have been applied to improve their accuracy. In contrast, We propose a novel wider Convolutional Neural Networks (CNN) architecture, motivated by the Multi-column Deep Neural Networks and the Network In Network(NIN), aiming for higher accuracy without input data transmutation.
openaire   +2 more sources

Quaternion Convolutional Neural Networks [PDF]

, 2018
Neural networks in the real domain have been studied for a long time and achieved promising results in many vision tasks for recent years. However, the extensions of the neural network models in other number fields and their potential applications are not fully-investigated yet. Focusing on color images, which can be naturally represented as quaternion
Changjian Chen, Hongteng Xu, Yi Xu, Xuanyu Zhu   +3 more
openaire   +3 more sources

Isointense infant brain MRI segmentation with a dilated convolutional neural network [PDF]

, 2017
Quantitative analysis of brain MRI at the age of 6 months is difficult because of the limited contrast between white matter and gray matter. In this study, we use a dilated triplanar convolutional neural network in combination with a non-dilated 3D ...
Moeskops, Pim, Pluim, Josien P. W.
core   +2 more sources