Results 181 to 190 of about 242,529 (275)

Weakly Supervised Learning Creates a Fusion of Modeling Cultures

, 2021
Chengliang Tang, Gan Yuan, Tian Zheng
openalex   +1 more source

Remote Control of Hand Actuators via Glove Sensors for Medical Care Applications

Advanced Robotics Research, EarlyView.
This study presents a novel textile‐based sensory glove–actuator system for remote medical care, explored through finite element simulations. By integrating capacitive sensors, pneumatic actuators, and machine learning, the system models real‐time hand movement control.
Bahman Taherkhani, Mahdi Bodaghi
wiley   +1 more source

Source-Free Domain-Adaptive Semi-Supervised Learning for Object Detection in CCTV Images. [PDF]

Sensors (Basel)
Shin H, Kim GY.
europepmc   +1 more source

Application of Supervised Machine-Learning Methods for Attesting Provenance in Catalan Traditional Pottery Industry [PDF]

, 2019
Anna Anglisano, Lluı̀s Casas, Marc Anglisano, I. Queralt   +3 more
openalex   +1 more source

Integration of Soft‐Robotics and Deep Learning to Assess the Coordinated Biosonar Emission and Reception Dynamics in Hipposiderid Bats

Advanced Robotics Research, EarlyView.
Combining a biomimetic soft‐robot with deep‐learning data analytics sheds light on a unique peripheral dynamics seen in the biosonar system of bats: Bats modulate their ultrasonic biosonar signals upon emission as well as reception with variable, yet highly coordinated motion patterns of their noseleaves and pinnae.
Shuxin Zhang, Ruihao Wang, Xiaoyan Yin, Luhui Yang, Rolf Müller   +4 more
wiley   +1 more source

A Practical Study of Data Requirements for Self-Supervised Learning in Medical Image Analysis. [PDF]

Cureus
Hommyo M, Tsuji T, Kumagai S, Shiraishi K, Kotoku J.   +4 more
europepmc   +1 more source

A Lightweight Medical Image Classification Framework via Self-Supervised Contrastive Learning and Quantum-Enhanced Feature Modeling [PDF]

Jingsong Xia, Siqi Wang
openalex  

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, Zhipeng Jiang, Sun Hwa Kwon, Matthew Ibrahim, Alexander Dang, Lin Dong   +5 more
wiley   +1 more source

Semi-Supervised Learning to Improve Generalizability of Cancer Associated-Venous Thromboembolism Risk Prediction Models. [PDF]

Clin Appl Thromb Hemost
Jin S, Wang C, Qin D, Liang B, Zhang L, Gao W, Wang X, Jiang B, Rao B, Shi H, Liu L, Lu Q.   +11 more
europepmc   +1 more source

Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space

Advanced Robotics Research, EarlyView.
A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo, Jiahui Zhang, Yimin Han, Ji Ma, Minghao Lu, Ioannis Havoutis, Peng Lu   +6 more
wiley   +1 more source