Results 101 to 110 of about 601,753 (327)
Super‐Resolution Microscopy in Tissue Engineering
Advanced Materials Interfaces, EarlyView.Super‐resolution microscopy (SRM) has advanced tissue engineering by providing nanoscale insights into cellular interactions. It reveals detailed cell membrane structures, tracks vesicle and virus entry, and visualizes the cytoskeleton. SRM also improves understanding of cell migration, facilitating tissue regeneration, vascularization, immune ...
Navid Rabiee +2 more
wiley +1 more source
Soft Sensing of Silicon Content via Bagging Local Semi-Supervised Models
Sensors, 2019 The silicon content in industrial blast furnaces is difficult to measure directly online. Traditional soft sensors do not efficiently utilize useful information hidden in process variables.
Xing He +4 more
doaj +1 more source
Advanced Materials Technologies, EarlyView.This review highlights recent advancements in 3DP techniques that incorporate emerging multifunctional SMP materials for applications in e‐electronics, soft actuators, biomedical devices, and more. Abstract Shape memory polymers (SMP) have recently gained significant attention as multifunctional materials for flexible and wearable electronics ...
Muhammad Yasir Khalid +4 more
wiley +1 more source
A Local-to-Global Metric Learning Framework From the Geometric Insight
IEEE Access, 2020 Metric plays a key role in the description of similarity between samples. An appropriate metric for data can well represent their distribution and further promote the performance of learning tasks.
Yaxin Peng +3 more
doaj +1 more source
Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics
Advanced Robotics Research, EarlyView.This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang +5 more
wiley +1 more source
Bayesian Semi-supervised Learning with Graph Gaussian Processes [PDF]
, 2018 We propose a data-efficient Gaussian process-based Bayesian approach to the semi-supervised learning problem on graphs. The proposed model shows extremely competitive performance when compared to the state-of-the-art graph neural networks on semi ...
Colombo, Nicolo +2 more
core +1 more source
Advanced Robotics Research, EarlyView.This study introduces a hybrid robot that integrates mechanical assistance by musculoskeletons (i.e., soft pneumatic muscle with rigid exoskeletal extensions), neuromuscular electrical stimulation, and vibrotactile feedback in a lightweight wearable mechatronic complex applicable to the paretic ankle–foot poststroke for gait restoration. The system can
Fuqiang Ye +16 more
wiley +1 more source
Semi-supervised transductive speaker identification [PDF]
, 2009 We present an application of transductive semi-supervised learning to the problem of speaker identification. Formulating this problem as one of transduction is the most natural choice in some scenarios, such as when annotating archived speech data ...
Täckström, Oscar
core +1 more source
Hard‐Magnetic Soft Millirobots in Underactuated Systems
Advanced Robotics Research, EarlyView.This review provides a comprehensive overview of hard‐magnetic soft millirobots in underactuated systems. It examines key advances in structural design, physics‐informed modeling, and control strategies, while highlighting the interplay among these domains.
Qiong Wang +4 more
wiley +1 more source
A novel adaptive safe semi-supervised learning framework for pattern extraction and classification
AIMS MathematicsManifold regularization semi-supervised learning is a powerful graph-based semi-supervised learning method. However, the performance of semi-supervised learning methods based on manifold regularization depends to some extent on the quality of the ...
Jun Ma, Junjie Li , Jiachen Sun
doaj +1 more source