Results 121 to 130 of about 148,198 (270)

Quasi‐Periodic Porous Structures‐Based Temperature and Pressure Dual‐Mode Electronic Skin for Material Cognition

Advanced Science, EarlyView.
A quasi‐periodic porous structure‐based temperature and pressure dual‐mode electronic skin was proposed. Benefiting from the quasi‐periodic porous structure, the temperature and pressure sensing performance of the electronic skin can be precisely constructed and optimized by changing the size of the porous structure. By analyzing the thermoelectric and
Xiaoguang Gao, Chengzhen Xue, Xiaoliang Zhang, Xuejuan Meng, Xiaochun Li, Li Niu   +5 more
wiley   +1 more source

Research on FBG Tactile Sensing Shape Recognition Based on Convolutional Neural Network

Sensors
Shape recognition plays a significant role in the field of robot perception. In view of the low efficiency and few types of shape recognition of the fiber tactile sensor applied to flexible skin, a convolutional-neural-network-based FBG tactile sensing ...
Guan Lu, Zhihui Shen, Ting Cai, Yiming Xu   +3 more
doaj   +1 more source

3D Pose Estimation Using Convolutional Neural Networks

, 2015
The present Master Thesis describes a new Pose Estimation method based on Convolutional Neural Networks (CNN). This method divides the three-dimensional space in several regions and, given an input image, returns the region where the camera is located. The first step is to create synthetic images of the object simulating a camera located
openaire   +2 more sources

A Wearable Brain–Computer Interface for Mitigating Car Sickness via Attention Shifting

Advanced Science, EarlyView.
Car sickness poses a major challenge in vehicular travel, yet effective nonpharmacological solutions are scarce. We developed a wearable, closed‐loop mindfulness BCI that uses real‐time EEG‐based neurofeedback to shift attention away from motion‐induced discomfort. Validated in real‐car experiments involving >100$>100$ susceptible individuals, over 83%
Jiawei Zhu, Xiaoyu Bao, Qiyun Huang, Tao Wang, Li Huang, Haiyun Huang, Junbiao Zhu, Jun Qu, Kendi Li, Di Chen, Ya Jiang, Kailin Xu, Zijian Wang, Wei Wu, Yuanqing Li   +14 more
wiley   +1 more source

Ionic–Bionic Interfaces: Advancing Iontronic Strategies for Bioelectronic Sensing and Therapy

Advanced Science, EarlyView.
Ionic–bionic interfaces for bioelectronics leverage ions as multifunctional mediators that combine mechanical compliance, ionic and electronic functionalities, and therapeutic effects. These systems offer real‐time biosignal transduction, effective wound dressing, responsive drug delivery, and seamless interaction between soft tissues and electronic ...
Yun Goo Ro, Yoojin Chang, Jeeyoon Kim, Seungjae Lee, Sangyun Na, Cheolhong Park, Hyunhyub Ko   +6 more
wiley   +1 more source

Intelligent Stain‐Free Histology on Structural Colorimetric Nanocavities

Advanced Science, EarlyView.
Chen and Gan et al. introduce a label‐free imaging platform using inexpensive Nanocavity‐on‐Silicon (NOS) slides. These slides transform subtle tissue variations into vivid structural colors, enabling high‐contrast histological imaging under a regular optical microscope. This stain‐free approach reveals morphological details comparable to traditional H&
Qizhe Chen, Yifei Ren, Lijie Hu, Yanyan Li, Wenyue Liang, Jin Wang, Han Gao, Xinhai Wang, Jiajun Li, Qiutao He, Yingfeng Zhu, Haifeng Hu, Qiwen Zhan, Imed Gallouzi, Jasmeen Merzaban, Di Wang, Zunguo Du, Xiaodong Gu, Qiaoqiang Gan   +18 more
wiley   +1 more source

3D‐TabNetHS: A hyperspectral image classification method based on improved interpretable 3D attentive TabNet

IET Radar, Sonar & Navigation
The classification methods for hyperspectral images (HSI) based on decision trees and convolutional neural networks have shown increasing advantages, but these methods often require a large number of labelled samples for learning, which is difficult for ...
Ning Li, Daozhi Wei, Shucai Huang, Yong Zhang   +3 more
doaj   +1 more source

Recent Advances in Decoupling Strategies for Soft Sensors

Advanced Science, EarlyView.
This review provides an overview of recent advances in decoupling strategies for soft sensors. It summarizes single‐modal sensors that are insensitive to stretching, bending, crosstalk, and other environmental interferences, and highlights emerging multimodal decoupling methods enabled by spatiotemporal information and machine learning.
Yangbo Yuan, Wanqing Zhang, Jia‐Yu Yang, Manqi Peng, Huanyu Cheng   +4 more
wiley   +1 more source

Retracted: 3D Convolutional Neural Network Framework with Deep Learning for Nuclear Medicine. [PDF]

Scanning, 2023
Scanning.
europepmc   +1 more source

De Novo Multi‐Mechanism Antimicrobial Peptide Design via Multimodal Deep Learning

Advanced Science, EarlyView.
Current AI‐driven peptide discovery often overlooks complex structural data. This study presents M3‐CAD, a generative pipeline that leverages 3D voxel coloring and a massive database of over 12 000 peptides to capture nuanced physicochemical contexts.
Xiaojuan Li, Haifan Gong, Yue Wang, Yinuo Zhao, Lixiang Li, Peijing Bao, Qingzhou Kong, Jialu Fu, Boyao Wan, Yumeng Zhang, Jinghui Zhang, Jiekun Ni, Zhongxue Han, Xueping Nan, Kunping Ju, Longfei Sun, Yuerui Ma, Huijun Chang, Mengqi Zheng, Yanbo Yu, Xiaoyun Yang, Xiuli Zuo, Haina Wang, Yanqing Li   +23 more
wiley   +1 more source