Results 151 to 160 of about 36,894 (295)

Manifold learning for fMRI time-varying functional connectivity. [PDF]

Front Hum Neurosci, 2023
Gonzalez-Castillo J, Fernandez IS, Lam KC, Handwerker DA, Pereira F, Bandettini PA.   +5 more
europepmc   +1 more source

Dayside aurora classification via BIFs-based sparse representation using manifold learning

, 2014
Aurora is the typical ionosphere track generated by the interaction of solar wind and magnetosphere, whose modality and variation are significant to the study of space weather activity.
Hu, Hongqiao, Tao, Dacheng, Zhao, Xiaojing, Hu, Z, Li, X, Li, Xuelong, Zhao, X, Hu, H, Hu, Zejun, Han, Bing, Han, B, Tao, D   +11 more
core   +1 more source

Augmentation invariant manifold learning

Journal of the Royal Statistical Society Series B: Statistical Methodology
Abstract Data augmentation is a widely used technique and an essential ingredient in the recent advance in self-supervised representation learning. By preserving the similarity between augmented data, the resulting data representation can improve various downstream analyses and achieve state-of-the-art performance in many applications.
openaire   +2 more sources

Low‐Temperature Processed Optoelectronic Synapses With Enhanced Responsivity for Edge‐Oriented In‐Sensor Reservoir Computing

Advanced Materials Technologies, EarlyView.
Image pixels are converted into optical pulse sequences to stimulate the optoelectronic synaptic device, generating dynamic responses that form high‐dimensional features. These features improve classification efficiency and demonstrate strong potential for neuromorphic edge computing systems.
Jo‐Lin Chen, Shi‐Qian Guo, Yu‐Chuan Chiu, Po‐Tsun Liu   +3 more
wiley   +1 more source

Application of Non-Sparse Manifold Regularized Multiple Kernel Classifier

Mathematics
Non-sparse multiple kernel learning is efficient but not directly able to be applied in a semi-supervised scenario; therefore, we extend it to semi-supervised learning by using a manifold regularization.
Tao Yang
doaj   +1 more source

Discovering conservation laws using optimal transport and manifold learning. [PDF]

Nat Commun, 2023
Lu PY, Dangovski R, Soljačić M.
europepmc   +1 more source

Regional manifold learning for medical image analysis

, 2013
In this thesis, we present image-based morphological analysis methods for diagnosis of diseases. Recent advances in imaging scanners enabled us to acquire high-resolution images that capture morphological characteristics of individual anatomies. However,
Ye, Dong Hye
core  

AI‐Powered Framework for Evaluating Drug Efficacy for Three‐Dimensional In Vitro Cancer Models in Robot‐Assisted Production

Advanced Robotics Research, EarlyView.
An AI‐powered, robot‐assisted framework automatically produces, images, and analyzes 3D tumor spheroids to evaluate drug efficacy. Integrated modules handle spheroid formation, live/dead staining, brightfield imaging, and automated image analysis, including spheroid segmentation, viability and metrics to assess the drug treatment efficacy. The workflow
Dalia Mahdy, Jesus Nieves, Lukas Königer, Matthias Peindl, Fabio Erhard, Marc Möllmann, Anke Klingner, Markus Münig, Bibin Babu, Thomas Schwarz, Marco Metzger, Gudrun Dandekar, Maximiliane Wußmann, Jan Hansmann   +13 more
wiley   +1 more source

Revealing hidden patterns in deep neural network feature space continuum via manifold learning. [PDF]

Nat Commun, 2023
Islam MT, Zhou Z, Ren H, Khuzani MB, Kapp D, Zou J, Tian L, Liao JC, Xing L.   +8 more
europepmc   +1 more source

Soft Robotic Snake with Tunable Undulatory Gait for Efficient Underwater Locomotion

Advanced Robotics Research, EarlyView.
This study designs an underwater soft snake robot using 3D‐printed soft actuators, controlled by specific signals to generate sinusoidal undulation. Results show a positive correlation between speed and swing amplitude, with optimal performance at 2/3π phase offset, PLA tail, 1.2 voltage growth rate, and 6s undulation period achieving a maximum speed ...
Huichen Ma, Junjie Zhou, Raye Yeow
wiley   +1 more source