Results 161 to 170 of about 6,366,089 (278)

MnL-TWA: Manifold Learning Approach for T-Wave Alternans Detection in Ambulatory Environments. [PDF]

Biomed Eng Comput Biol
Pascual-Sánchez L, Goya-Esteban R, Blanco-Velasco M.   +2 more
europepmc   +1 more source

IAN: Iterated Adaptive Neighborhoods for Manifold Learning and Dimensionality Estimation. [PDF]

Neural Comput, 2023
Dyballa L, Zucker SW.
europepmc   +1 more source

Nonreciprocal Swarmalators With Reconfigurable and Controllable Formations for Robot Collectives

Advanced Robotics Research, EarlyView.
Nonreciprocal swarmalator interactions are enabled through control barrier functions to transform self‐organizing robot collectives into reconfigurable, constraint‐aware systems. Complex two‐ and three‐dimensional shapes, continuous morphing, obstacle‐aware navigation, collective splitting, and object transport emerge from modulating agent‐level ...
Kush Patel, Xinyue Xu, Wei Xiao, Steven Ceron   +3 more
wiley   +1 more source

Waveform-Prediction Augmentation and Deep Manifold Learning Enable Imbalanced Fault Diagnosis in Rotating Machinery. [PDF]

Sensors (Basel)
Tian Y, Guo S, Li Y, Zhang X, Jiang L.
europepmc   +1 more source

A Novel Framework of Manifold Learning Cascade-Clustering for the Informative Frame Selection. [PDF]

Diagnostics (Basel), 2023
Zhang L, Wu L, Wei L, Wu H, Lin Y.
europepmc   +1 more source

A Perspective on Interactive Theorem Provers in Physics

Advanced Science, EarlyView.
Into an interactive theorem provers (ITPs), one can write mathematical definitions, theorems and proofs, and the correctness of those results is automatically checked. This perspective goes over the best usage of ITPs within physics and motivates the open‐source community run project PhysLean, the aim of which is to be a library for digitalized physics
Joseph Tooby‐Smith
wiley   +1 more source

Towards precision oncology: unsupervised manifold learning for spatial molecular profiling in cancer tissues. [PDF]

BMC Bioinformatics
Jiang G, He J, Fan X, Gao X, Huang R, Wu C, Shen B.   +6 more
europepmc   +1 more source

Variational Manifold Learning From Incomplete Data: Application to Multislice Dynamic MRI. [PDF]

IEEE Trans Med Imaging, 2022
Zou Q, Ahmed AH, Nagpal P, Priya S, Schulte RF, Jacob M.   +5 more
europepmc   +1 more source

Solid Harmonic Wavelet Bispectrum for Image Analysis

Advanced Science, EarlyView.
The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown, Mathilda Avirett‐Mackenzie, Carolin Villforth, Georgios Exarchakis   +3 more
wiley   +1 more source

LAIOR: a hyperbolic neural ODE variational framework for interpretable single-cell manifold learning and trajectory inference. [PDF]

Front Genet
Fu Z, Fu J, Zhang K, Ran T, Chen C.
europepmc   +1 more source