Results 161 to 170 of about 2,004,297 (387)
Convolutional Neural Network Committees for Handwritten Character Classification [PDF]
, 2011 Dan Claudiu Cireşan +3 more
openalex +1 more source
Smart Dust for Chemical Mapping
Advanced Materials, EarlyView.This review article explores the advancement of smart dust networks for high‐resolution spatial and temporal chemical mapping. Comprising miniature, wireless sensors, and communication devices, smart dust autonomously collects, processes, and transmits data via swarm‐based communication.
Indrajit Mondal, Hossam Haick
wiley +1 more source
Seeing Convolution Through the Eyes of Finite Transformation Semigroup Theory: An Abstract Algebraic Interpretation of Convolutional Neural Networks [PDF]
arXiv, 2019 Researchers are actively trying to gain better insights into the representational properties of convolutional neural networks for guiding better network designs and for interpreting a network's computational nature. Gaining such insights can be an arduous task due to the number of parameters in a network and the complexity of a network's architecture ...
arxiv
Convolutional Graph Neural Networks
2019 53rd Asilomar Conference on Signals, Systems, and Computers, 2019 Convolutional neural networks (CNNs) restrict the, otherwise arbitrary, linear operation of neural networks to be a convolution with a bank of learned filters. This makes them suitable for learning tasks based on data that exhibit the regular structure of time signals and images.
Gama, Fernando (author) +3 more
openaire +4 more sources
Challenges and Opportunities of Upconversion Nanoparticles for Emerging NIR Optoelectronic Devices
Advanced Materials, EarlyView.The special photo‐responsiveness of upconversion nanoparticles has opened up a new path for the advancement of near‐infrared (NIR)‐responsive optoelectronics. However, challenges such as low energy‐conversion efficiency and high nonradiative losses still persist.
Sunyingyue Geng +7 more
wiley +1 more source
Automated Edge Detection Using Convolutional Neural Network [PDF]
, 2013 A. Mohamed, A. Yarub, A. Mohamed
openalex +1 more source
Advanced Materials, EarlyView.Omnidirectional strain sensing is crucial in healthcare monitoring, human motion detection, and human‐machine interfaces. By mimicking the 3D structure of human fingers, this work introduces a novel heterogeneous substrate incorporating the involute of a circle which enables the device to achieve isotropic omnidirectional hypersensitive strain sensing ...
Muzi Xu +6 more
wiley +1 more source
Facial Expression Recognition Research Based on Deep Learning [PDF]
arXiv, 2019 With the development of deep learning, the structure of convolution neural network is becoming more and more complex and the performance of object recognition is getting better. However, the classification mechanism of convolution neural networks is still an unsolved core problem.
arxiv
Advanced Materials, EarlyView.The sidechain doped polymer is investigated to have great potential for pressure detection due to the advantages including molecular rearrangement and charge‐density perturbance induced by micro‐mechanical deformation. This sensor displayed low‐pressure detection limit of 0.7 Pa as well as a rapid response time of 18.8 ms, enabling multi‐mode motion ...
Huimin Lu +14 more
wiley +1 more source
Neural Network Alternatives to Convolutive Audio Models for Source Separation [PDF]
arXiv, 2017 Convolutive Non-Negative Matrix Factorization model factorizes a given audio spectrogram using frequency templates with a temporal dimension. In this paper, we present a convolutional auto-encoder model that acts as a neural network alternative to convolutive NMF.
arxiv