Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8491071 | PMC |
| http://dx.doi.org/10.1093/plphys/kiab364 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Self-Healing and Tough Polyacrylic Acid-Based Hydrogels for Micro-Strain Sensors.
Gels
June 2025
School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing 100081, China.
Self-healing hydrogels hold promise for smart sensors in bioengineering and intelligent systems, yet balancing self-healing ability with mechanical strength remains challenging. In this study, a self-healing hydrogel exhibiting superior stretchability was developed by embedding a combination of hydrogen bonding and dynamic metal coordination interactions, introduced by modified fenugreek galactomannan, ferric ions, and lignin silver nanoparticles, into a covalent polyacrylic acid (PAA) matrix. Synergistic covalent and multiple non-covalent interactions enabled the hydrogel with high self-healing ability and enhanced mechanical property.
View Article and Find Full Text PDFMicroservice Deployment Based on Multiple Controllers for User Response Time Reduction in Edge-Native Computing.
Sensors (Basel)
May 2025
School of Computer and Information Engineering, Tianjin Normal University, Tianjin 300387, China.
Microservice deployment methods in edge-native computing environments hold great potential for minimizing user application response time. However, most existing studies overlook the communication overhead between microservices and controllers, as well as the impact of microservice pull time on user response time. To address these issues, this paper proposes a multi-controller service mesh architecture to reduce data transfer overhead between microservices and controllers.
View Article and Find Full Text PDFBenchmarking Controllers for Low-Cost Agricultural SCARA Manipulators.
Sensors (Basel)
April 2025
INESC TEC-Institute for Systems and Computer Engineering, Technology and Science, 4200-465 Porto, Portugal.
Agriculture needs to produce more with fewer resources to satisfy the world's demands. Labor shortages, especially during harvest seasons, emphasize the need for agricultural automation. However, the high cost of commercially available robotic manipulators, ranging from EUR 3000 to EUR 500,000, is a significant barrier.
View Article and Find Full Text PDFDeep Learning Ensemble Approach for Predicting Expected and Confidence Levels of Signal Phase and Timing Information at Actuated Traffic Signals.
Sensors (Basel)
March 2025
Charles E. Via, Jr. Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA 24061, USA.
Predicting Signal Phase and Timing (SPaT) information and confidence levels is needed to enhance Green Light Optimal Speed Advisory (GLOSA) and/or Eco-Cooperative Adaptive Cruise Control (Eco-CACC) systems. This study proposes an architecture based on transformer encoders to improve prediction performance. This architecture is combined with different deep learning methods, including Multilayer Perceptrons (MLP), Long-Short-Term Memory neural networks (LSTM), and Convolutional Long-Short-Term Memory neural networks (CNNLSTM) to form an ensemble of predictors.
View Article and Find Full Text PDFAccurate and Real-Time Hierarchical Ensemble Network for Activity Classification in Construction Worker.
IEEE J Biomed Health Inform
August 2025
Accurate and real-time locomotion classification is crucial for exoskeletons to assist construction workers in completing multiple tasks. However, state-of-the-art algorithms for classifying multiple activities face multifaceted challenges in both accuracy and real-time capability. In addition, advanced studies typically provide a single solution based on certain sensor combinations, which may have an indirect impact on different assistive devices (e.
View Article and Find Full Text PDF