Results 91 to 100 of about 1,451,519 (348)

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

Machine‐Learning‐Aided Advanced Electrochemical Biosensors

Advanced Materials, EarlyView.
Electrochemical biosensors are highly sensitive, portable, and versatile. Advanced nanomaterials enhance their performance, while machine learning (ML) improves data analysis, minimizes interference, and optimizes sensor design. Despite progress in both fields, their combined potential in diagnostics remains underexplored.
Andrei Bocan, Roozbeh Siavash Moakhar, Carolina del Real Mata, Max Petkun, Tristan De Iure‐Grimmel, Sripadh Guptha Yedire, Hamed Shieh, Arash Khorrami Jahromi, Sahar Sadat Mahshid, Sara Mahshid   +9 more
wiley   +1 more source

Blind Interleaver Recognition Using Deep Learning Techniques

IEEE Access
In digital communication systems, channel encoders and interleavers play a crucial role in mitigating the random and burst errors introduced by noisy channels.
Nayim Ahamed, Swaminathan R., B. Naveen
doaj   +1 more source

Powerset Convolutional Neural Networks

, 2019
We present a novel class of convolutional neural networks (CNNs) for set functions, i.e., data indexed with the powerset of a finite set. The convolutions are derived as linear, shift-equivariant functions for various notions of shifts on set functions.
Wendler, Chris, Alistarh, Dan-Adrian, Püschel, Markus   +2 more
openaire   +2 more sources

Photonic Nanomaterials for Wearable Health Solutions

Advanced Materials, EarlyView.
This review discusses the fundamentals and applications of photonic nanomaterials in wearable health technologies. It covers light‐matter interactions, synthesis, and functionalization strategies, device assembly, and sensing capabilities. Applications include skin patches and contact lenses for diagnostics and therapy. Future perspectives emphasize AI‐
Taewoong Park, Jung Woo Leem, Young L. Kim, Chi Hwan Lee   +3 more
wiley   +1 more source

Recognition of Internal Overvoltage in Distribution Network Based on Convolutional Neural Network

Electrica, 2022
Fei Long, Huan Xu, Wei Zhan, Yixi Wang, Chengcheng Zou, Jyoti Bhola   +5 more
doaj   +1 more source

Experimental Study on Long Short-term Memory Networks for Identifying P-wave Primary Phase

CT Lilun yu yingyong yanjiu
Identifying primary phases of seismic waveforms is a routine task in seismic data processing. Owing to the low efficiency of manual identification and the influence of human subjective factors, many methods for the automatic identification of the primary
Tianzhe WANG, Wanji ZHANG, Shanbo QI, Guoming JIANG   +3 more
doaj   +1 more source

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, Hangfei Li, Ziyu Lv, Yongbiao Zhai, Bobo Tian, Ying Luo, Ye Zhou, Su‐Ting Han   +7 more
wiley   +1 more source

Characterization and Inverse Design of Stochastic Mechanical Metamaterials Using Neural Operators

Advanced Materials, EarlyView.
This study presents a DeepONet‐based machine learning framework for designing stochastic mechanical metamaterials with tailored nonlinear mechanical properties. By leveraging sparse but high‐quality experimental data from in situ micro‐mechanical tests, high predictive accuracy and enable efficient inverse design are achieved.
Hanxun Jin, Boyu Zhang, Qianying Cao, Enrui Zhang, Aniruddha Bora, Sridhar Krishnaswamy, George Em Karniadakis, Horacio D. Espinosa   +7 more
wiley   +1 more source

Research on Real-Time Face Recognition Algorithm Based on Lightweight Network

Jisuanji kexue yu tansuo, 2020
In order to achieve high-precision real-time face recognition on embedded and mobile devices, the advant-ages and disadvantages of common networks in face recognition are analyzed, and an efficient deep convolution neural network model Lightfacenet is ...
ZHANG Dian, WANG Haitao, JIANG Ying, CHEN Xing
doaj   +1 more source