On Lower Bounds for Standard and Robust Gaussian Process Bandit\n Optimization [PDF]
Xu Cai, Jonathan Scarlett
openalex +1 more source
Species distribution modelling with spatio-temporal nearest neighbour Gaussian processes [PDF]
Ethan Lawler +2 more
openalex +1 more source
Covalent Organic Frameworks for Water Sorption: The Importance of Framework Physical Stability
This study explores the water‐vapor stability of 2D covalent organic frameworks (COFs) with varying pore sizes. Results reveal microporous COFs demonstrate superior stability compared to mesoporous ones, despite lower water uptake. Mesoporous keto‐enamine‐linked COFs show enhanced stability due to intralayer hydrogen bonds, confirmed by simulations and
Wei Zhao +13 more
wiley +1 more source
Photonic Engineering Enables All‐Passive Upconversion Imaging with Low‐Intensity Near‐Infrared Light
A passive upconversion imaging system enables the observation of scenes illuminated by low‐intensity incoherent near‐infrared light from 750 to 930 nm, by converting it into the visible without the use of external power. The upconverter is enabled by triplet–triplet annihilation in a bulk heterojunction, with absorption enhanced by plasmonic resonators
Rabeeya Hamid +13 more
wiley +1 more source
Parallel Implementation of Gaussian Filter Image Processing on a Cluster of Single Board Computer
Achmad Nurul Fauzie +2 more
openalex +2 more sources
Data-driven method for real-time prediction and uncertainty\n quantification of fatigue failure under stochastic loading using artificial\n neural networks and Gaussian process regression [PDF]
Maor Farid
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We introduce a nucleic acid nanoparticle (NANP) platform designed to be rrecognized by the human innate immune system in a regulated manner. By changing chemical composition while maintaining constant architectural parameters, we identify key determinants of immunorecognition enabling the rational design of NANPs with tunable immune activation profiles
Martin Panigaj +21 more
wiley +1 more source
Adaptive Sparse Gaussian Process
Adaptive learning is necessary for non-stationary environments where the learning machine needs to forget past data distribution. Efficient algorithms require a compact model update to not grow in computational burden with the incoming data and with the lowest possible computational cost for online parameter updating.
Vanessa Gómez-Verdejo +2 more
openaire +4 more sources
Peptide Sequencing With Single Acid Resolution Using a Sub‐Nanometer Diameter Pore
To sequence a single molecule of Aβ1−42–sodium dodecyl sulfate (SDS), the aggregate is forced through a sub‐nanopore 0.4 nm in diameter spanning a 4.0 nm thick membrane. The figure is a visual molecular dynamics (VMD) snapshot depicting the translocation of Aβ1−42–SDS through the pore; only the peptide, the SDS, the Na+ (yellow/green) and Cl− (cyan ...
Apurba Paul +8 more
wiley +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

