Results 91 to 100 of about 324,009 (309)

Deciding How to Decide: Dynamic Routing in Artificial Neural Networks [PDF]

, 2017
We propose and systematically evaluate three strategies for training dynamically-routed artificial neural networks: graphs of learned transformations through which different input signals may take different paths.
McGill, Mason, Perona, Pietro
core   +2 more sources

Cottonseed‐Derived Reusable Bio‐Carbon Gel Ink for DIW Printing Soft Electronic Textiles

Advanced Materials, EarlyView.
A reusable carbon‐gel ink, incorporating cottonseed peptone as a natural mediator, enables cross‐linked ionic polymer networks for advanced conductivity, stability, and biocompatibility. Compatible with direct‐ink‐writing, it facilitates flexible electronics on polymeric and textile substrates for multifunctional applications, including motion sensing,
King Yan Chung, Di Tan, Ziyu He, Xiao Li, Jian Lu, Qingjun Yang, Xinlong Liu, Bingang Xu   +7 more
wiley   +1 more source

A survey on deep learning based reenactment methods for deepfake applications

IET Image Processing
Among the sectors that deep learning has transformed, deepfake, a novel method of manipulating multimedia, deserves particular attention. The long‐term objective of many researchers is to seamlessly mimic human facial movement or whole‐body activity ...
Ramamurthy Dhanyalakshmi, Claudiu‐Ionut Popirlan, Duraisamy Jude Hemanth   +2 more
doaj   +1 more source

Lightweight attention‐guided redundancy‐reuse network for real‐time semantic segmentation

IET Image Processing, 2023
Semantic segmentation is a critical topic in computer vision, and it has numerous practical applications, including mobile devices, autonomous driving, and many other fields.
Xuegang Hu, Shuhan Xu, Liyuan Jing
doaj   +1 more source

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

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

Vehicle Re-identification method based on Swin-Transformer network

Array, 2022
Vehicle Re-identification is to find out the exact vehicle captured by other cameras given a vehicle image. In natural traffic surveillance systems, vehicle re-identification can play a role in target vehicles localization, supervision, and criminal ...
Jianrong Li, Chang Yu, Jinyuan Shi, Chuanlei Zhang, Ting Ke   +4 more
doaj  

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

3sG: Three‐stage guidance for indoor human action recognition

IET Image Processing
Inference using skeleton to steer RGB videos is applicable to fine‐grained activities in indoor human action recognition (IHAR). However, existing methods that explore only spatial alignment are prone to bias, resulting in limited performance.
Hai Nan, Qilang Ye, Zitong Yu, Kang An
doaj   +1 more source

NowCasting-Nets: Representation Learning to Mitigate Latency Gap of Satellite Precipitation Products Using Convolutional and Recurrent Neural Networks [PDF]

, 2022
Mohammad Reza Ehsani, Ariyan Zarei, Hoshin V. Gupta, Kobus Barnard, Eric Lyons, Ali Behrangi   +5 more
openalex   +1 more source