Results 151 to 160 of about 934,428 (242)

Self-supervised learning for data augmentation in histopathology image segmentation. [PDF]

Sci Rep
Almubarak HA.
europepmc   +1 more source

Optical Diversity and Nanostructural Organization in the Colored Scales of Sternotomis

Advanced Optical Materials, EarlyView.
Vivid colors in Sternotomis beetles originate from nanoscale photonic architectures embedded within individual scales. Here, we provide a comparative optical and structural analysis of 57 scale types that reveal how ordered, quasi‐ordered, and disordered 3D networks tune color, saturation, and angular response.
Viola Bauernfeind, Viola V. Vogler‐Neuling, Ilja Gunkel, Primož Pirih, Ullrich Steiner, Bodo D. Wilts   +5 more
wiley   +1 more source

A self-supervised learning method for detection of retinitis pigmentosa and Stargardt disease. [PDF]

Sci Rep
Karimi A, Ahmadieh H, Sadeghi Tabrizi M, Daftarian N, Farshian Abbasi A, Fekri S, Ghattan Kashani H, Baghban Jaldian H, Yazdanpanah M, Shariat Panahi M, Sabbaghi H.   +10 more
europepmc   +1 more source

Soft Robotic Excretory Care Simulator for Nursing Education: Functional and Perceptual Biomimetics Approach

Advanced Robotics Research, EarlyView.
A soft robotic simulator is developed to replicate the digital removal of feces (DRF), a sensitive yet essential nursing procedure. Integrating soft actuators, sensors, and a realistic rectal model, the simulator balances functional fidelity with perceptual realism. Engineering evaluations and nurse feedback confirm its potential to enhance training in
Shoko Miyagawa, Sota Suzuki, Shizuka Watanabe, Zebing Mao, Young Ah Seong, Toshinori Fujie, Tatsuhiro Horii, Kenjiro Tadakuma, Koichi Suzumori, Hiroyuki Nabae, Shingo Maeda   +10 more
wiley   +1 more source

Collaborative representation and confidence-driven semi-supervised learning for hyperspectral image classification. [PDF]

Sci Rep
Chen Y, Lu H, Huang X.
europepmc   +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

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

Similarity-guided swarm of models: enhancing semi-supervised learning in computational pathology. [PDF]

Sci Rep
Weng Z, Pryalukhin A, Hulla W, Bychkov A, Fukuoka J, Schallenberg S, Buchstab O, Klauschen F, Büttner R, Tolkach Y.   +9 more
europepmc   +1 more source

Unilateral Ankle‐Foot Exoneuromusculoskeleton with Balance‐Sensing Feedback for Self‐Help Telerehabilitation after Stroke

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, Wei Rong, Waiming Li, Kwok‐Ting Wong, Man‐Kit Pang, Hon‐Wah Wai, Lilly Li, Zicong Hong, Song Guo, Zong‐Hao Ma, Yongping Zheng, Ming Zhang, Nicholas Chow, Jianing Zhang, Xiaoling Hu, Fei Chen, Waisang Poon   +16 more
wiley   +1 more source

Supervised Learning Algorithm Comparison in Discharge Status Prediction of Trauma Patients: Empirical Evaluation. [PDF]

J Biomed Phys Eng
Kohzadi Z, Nickfarjam AM, Kohzadi Z, Shokrizadeh Arani L, Mahdian M, Holl F.   +5 more
europepmc   +1 more source