Results 161 to 170 of about 314,053 (305)
Time-frequency machine learning transfer function for central pressure waveforms. [PDF]
Niroumandi S +6 more
europepmc +1 more source
Ensemble and transfer learning of soil inorganic carbon with visible near-infrared spectra
Yu Wang +8 more
openalex +1 more source
Domain Independent SVM for Transfer Learning in Brain Decoding [PDF]
Shuo Zhou +3 more
openalex +1 more source
Molecular engineering of a nonconjugated radical polymer enables a significant enhancement of the glass transition temperature. The amorphous nature and tunability of the polymer, arising from its nonconjugated backbone, facilitates the fabrication of organic memristive devices with an exceptionally high yield (>95%), as well as substantial ...
Daeun Kim +14 more
wiley +1 more source
Two‐Dimensional Materials as a Multiproperty Sensing Platform
Various sensing modalities enabled and/or enhanced by two‐dimensional (2D) materials are reviewed. The domains considered for sensing include: 1) optoelectronics, 2) quantum defects, 3) scanning probe microscopy, 4) nanomechanics, and 5) bio‐ and chemosensing.
Dipankar Jana +11 more
wiley +1 more source
Learning transfer operators by kernel density estimation. [PDF]
Surasinghe S, Fish J, Bollt EM.
europepmc +1 more source
Improvement of Applicability in Student Performance Prediction Based on Transfer Learning [PDF]
Yan Zhao
openalex +1 more source
The article presents nanomaterial‐integrated fiber neural probes as innovative tools for deep brain molecular sensing, neural stimulation, and temperature monitoring. It examines breakthroughs in SERS‐based biomolecule detection, thermoplasmonic activation, and luminescent thermometry, alongside strategies to overcome stability, specificity, and ...
Di Zheng +5 more
wiley +1 more source
Correction: An approach to the permeation mechanism of learning transfer and teaching strategy in physical education based on complex network. [PDF]
PLOS ONE Staff.
europepmc +1 more source
The study proposes a 1‐bit programmable metasurface based on flip‐disc display, named flip‐disc metasurface (FD‐MTS). This new design enables ultralow energy consumption while maintaining coding patterns. It also exhibits high scalability and multifunctional flexibility.
Jiang Han Bao +8 more
wiley +1 more source

