Results 81 to 90 of about 341,780 (320)
Category-Level 6D Object Pose Estimation in the Wild: A Semi-Supervised Learning Approach and A New Dataset [PDF]
, 2022 Yang Fu, Xiaolong Wang
openalex +1 more source
Advanced Materials Technologies, EarlyView.A methodological framework is presented for combinatorial REBCO thin films fabricated by drop‐on‐demand inkjet printing with controlled Rare Earth composition gradients. Automated, synchrotron‐based, and local characterization techniques produce comprehensive property maps that correlate composition and TLAG process parameters with superconducting ...
Emma Ghiara +15 more
wiley +1 more source
Advanced Materials Technologies, EarlyView.Hierarchical multi‐material TPMS lattices are engineered as flexible tactile sensors by combining soft and stiff elastomeric layers with a conformal conductive coating. The bilayer architecture delivers sensitivity at low pressures while maintaining a broad detectable range under large loads, enabling reliable pressure and vibration monitoring for ...
Reza Noroozi +3 more
wiley +1 more source
Semi-HFL: semi-supervised federated learning for heterogeneous devices
Complex & Intelligent Systems, 2022 In the vanilla federated learning (FL) framework, the central server distributes a globally unified model to each client and uses labeled samples for training.
Zhengyi Zhong +5 more
doaj +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
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
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
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label\n Selection Framework for Semi-Supervised Learning [PDF]
, 2021 Mamshad Nayeem Rizve +3 more
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On semi-supervised learning [PDF]
TEST, 2019 arXiv admin note: substantial text overlap with arXiv:1709 ...
A. Cholaquidis, R. Fraiman, M. Sued
openaire +3 more sources
Cross‐Scale Hierarchical Targeted Delivery System Based on Small‐Scale Magnetic Robots
Advanced Robotics Research, EarlyView.This article reviews a cross‐scale hierarchical targeted delivery system that integrates magnetic continuum robots and magnetic microrobots. By combining rapid long‐range navigation with precise microscale targeting, the system overcomes key limitations of single‐scale approaches.
Junjian Zhou +4 more
wiley +1 more source