Results 101 to 110 of about 1,715,429 (285)

Modular, Textile‐Based Soft Robotic Grippers for Agricultural Produce Handling

Advanced Robotics Research, EarlyView.
This article introduces textile‐based pneumatic grippers that transform simple textiles into robust bending actuators. Detailed experiments uncover how cut geometry and fabric selection shape performance. Successful handling of fragile agricultural items showcases the potential of textile robotics for safe, scalable automation in food processing and ...
Zeyu Hou, Eran Beeri Bamani, Joao Buzzatto, Bryan Busby, Lucas Ferrari Gerez   +4 more
wiley   +1 more source

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

Advanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao, Hongbo Wang, Naipeng Li, Shuo Wang, Yaguo Lei, Tonghai Wu, Junyi Cao   +6 more
wiley   +1 more source

Physical Human Activity Recognition Using Wearable Sensors

Sensors, 2015
This paper presents a review of different classification techniques used to recognize human activities from wearable inertial sensor data. Three inertial sensor units were used in this study and were worn by healthy subjects at key points of upper/lower ...
Ferhat Attal, Samer Mohammed, Mariam Dedabrishvili, Faicel Chamroukhi, Latifa Oukhellou, Yacine Amirat   +5 more
doaj   +1 more source

GPR124 Alleviates Blood–Brain Barrier Disruption by Enhancing Microvascular Endothelial Function after Traumatic Brain Injury

Advanced Science, EarlyView.
Our study reveals the protective role of GPR124 in maintaining BBB integrity and promoting neurological recovery following TBI. It makes a significant contribution by uncovering a novel molecular interaction between GPR124 and FGFBP1 and linking this to activation of the Wnt/β‐catenin signaling pathway in vascular repair mechanisms.
Chen Wang, Lin Cai, Qiuyuan Gong, Yang Yang, Yuqing Liang, Xinyu Niu, Lai Wei, Ze Liu, Shengju Wu, Yinghui Men, Yaohui Tang, Jun Ding, Hengli Tian, Hao Chen   +13 more
wiley   +1 more source

Unsupervised classification for region of interest in X-ray ptychography. [PDF]

Sci Rep, 2023
Lin D, Jiang Y, Deng J, Di ZW.
europepmc   +1 more source

Nonparametric Unsupervised Classification

, 2012
Submitted to ALT ...
Yang, Yingzhen, Huang, Thomas S.
openaire   +2 more sources

CD9+ B Cells Induce T Follicular Helper Cell Apoptosis to Regulate Germinal Center Regression

Advanced Science, EarlyView.
A unique subset of CD9+ B cells regulates germinal center B (GC‐B) cell regression by inducing T follicular helper (Tfh) cell apoptosis through multiple signaling pathways, such as ALCAM‐CD6. FOXP1 plays a key role in GC‐B cell differentiation. These findings clarify mechanisms of GC degeneration and termination and offer potential targets for adenoid ...
Wenjing Liao, Lijuan Song, Meiqian Xu, Tianhao Liang, Yixuan Chen, Gui Chen, Zaihuan Lin, Huakang Du, Guofei Feng, Zhiming Feng, Qi Zhang, Fan Pan, Saixuan Yang, Xinyin Zhang, Wenxu Peng, Tianlong Li, Zhuoshen Lin, Yabang Chen, Jiayi Liu, Baoxin Peng, Yan Liu, Xing Niu, Ting Li, Chengyu Huang, Ke Mo, Jianlei Xie, Yu Zou, Xiaowen Zhang   +27 more
wiley   +1 more source

A hybrid unsupervised machine learning model with spectral clustering and semi-supervised support vector machine for credit risk assessment.

PLoS ONE
In credit risk assessment, unsupervised classification techniques can be introduced to reduce human resource expenses and expedite decision-making. Despite the efficacy of unsupervised learning methods in handling unlabeled datasets, their performance ...
Tao Yu, Wei Huang, Xin Tang, Duosi Zheng
doaj   +1 more source

Deep Contrastive Learning for High‐Throughput Prediction of Drug Resistance Mutations from Sequences

Advanced Science, EarlyView.
This study presents DeepMutDTA, a deep learning framework aimed at predicting mutation‐induced changes in protein‐drug interactions and prioritizing variants potentially linked to drug resistance. Trained on large‐scale data, it incorporates SimSiam‐MuTF, a label‐aware contrastive fine‐tuning strategy that encourages separation between WT and MT ...
Xiaowen Hu, Pan Zhang, Shangqian Wu, Hao Sun, Minwei Li, Sophia Tsoka, Zizhang Sheng, Lei Deng   +7 more
wiley   +1 more source

Supervised Versus Unsupervised Classification

, 2014
This video, from the Integrated Geospatial Education and Technology Training Project (iGETT), introduces the audience to the difference between supervised and unsupervised classification of remote sensing data.
Ward, Luke
core   +1 more source