Results 191 to 200 of about 242,529 (275)

NanoSSL: attention mechanism-based self-supervised learning method for protein identification using nanopores. [PDF]

Bioinformatics
Xie Y, Li J, Zhang Z, Meng B, Dai S, Zhou Y, Kennedy E, Jiao N, Chen H, Dong Z.   +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

A generalizable 3D framework and model for self-supervised learning in medical imaging. [PDF]

NPJ Digit Med
Xu T, Hosseini S, Anderson C, Rinaldi A, Krishnan RG, Martel AL, Goubran M.   +6 more
europepmc   +1 more source

CUAB: Supervised Learning of Disorders and their Attributes using Relations [PDF]

, 2015
James Gung, John D. Osborne, Steven Bethard   +2 more
openalex   +1 more source

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

Advanced Robotics Research, EarlyView.
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley   +1 more source

Self-supervised learning to predict intrahepatic cholangiocarcinoma transcriptomic classes on routine histology. [PDF]

JHEP Rep
Beaufrère A, Lazard T, Nicolle R, Lubuela G, Augustin J, Albuquerque M, Pichon B, Pignolet C, Priori V, Théou-Anton N, Lesurtel M, Bouattour M, Mondet K, Cros J, Calderaro J, Walter T, Paradis V.   +16 more
europepmc   +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, Zixuan Zhang, Bingyan Li, Junkai Wang, Hongcheng Gu   +4 more
wiley   +1 more source

Uncertainty-weighted semi-supervised learning with dynamic entropy masking and Bhattacharyya-regularized loss. [PDF]

Sci Rep
Ghazal MT, Tanha J, Shahi N, Roshan S.
europepmc   +1 more source

Improving the Robustness of Visual Teach‐and‐Repeat Navigation Using Drift Error Correction and Event‐Based Vision for Low‐Light Environments

Advanced Robotics Research, EarlyView.
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley   +1 more source

Balance and fall-risk assessment in older adults using wearable plantar pressure and semi-supervised learning. [PDF]

Front Bioeng Biotechnol
Ou J, Chen F, Liao C, Song Z, Liu L, Song X, Bi W, Wang L, Shu L, Chen Z.   +9 more
europepmc   +1 more source