Results 201 to 210 of about 5,652,238 (291)

Learning interpretable representations of single-cell multi-omics data with multi-output Gaussian processes. [PDF]

Nucleic Acids Res
Moslehi Z, AmeriFar S, de Azevedo K, Buettner F.   +3 more
europepmc   +1 more source

Sensitivity Analysis of RV Reducer Rotation Error Based on Deep Gaussian Processes. [PDF]

Sensors (Basel), 2023
Jin S, Shang S, Jiang S, Cao M, Wang Y.
europepmc   +1 more source

Dynamic Observation of Lacy Pattern Formation in a Bone Tissue Model Using Liquid Phase Scanning Transmission Electron Microscopy

Advanced Functional Materials, EarlyView.
Here, we establish a low‐dose liquid‐phase electron microscopy workflow for real‐time observation of biological processes in hydrated conditions. Beam damage is reduced by imaging only 20% of the pixels and reconstructing the complete image using an inpainting algorithm.
Luco Rutten, Avital Wagner, Rona Roverts, Luco Buise, Ben Joosten, Anat Akiva, Elena Macías‐Sánchez, Nico Sommerdijk   +7 more
wiley   +1 more source

Bayesian parameter inference and uncertainty quantification for a computational pulmonary hemodynamics model using Gaussian processes. [PDF]

Comput Biol Med
Kachabi A, Altieri Correa S, Chesler NC, Colebank MJ.   +3 more
europepmc   +1 more source

Multidimensional‐Encoded High‐Fidelity Spectrometers With a Floating‐Base Bipolar Junction

Advanced Functional Materials, EarlyView.
A floating‐base bipolar junction photodetector enables multidimensional spectral encoding through synergistic gate‐ and drain‐bias modulation of interfacial barrier matching. The resulting complementary spectral responses form a diverse, weakly correlated response matrix, enabling robust and high‐fidelity spectral reconstruction even at sub‐nanoampere ...
Sang‐Hyeon Lee, Junho Min, Yonas Tsegaye Megra, Min‐Hye Jeong, Hwi Je Woo, Jaewon Han, Junheon Ha, Gyunghyun Jang, Young Jae Song, Hyun‐Soo Ra, Hoon Hahn Yoon, Jong‐Soo Lee   +11 more
wiley   +1 more source

Bayesian Optimization with Gaussian Processes Assisted by Deep Learning for Material Designs. [PDF]

J Phys Chem Lett
Kiyohara S, Kumagai Y.
europepmc   +1 more source

The Elementary Gaussian Processes

The Annals of Mathematical Statistics, 1944
openaire   +2 more sources

GeS as an Emerging OTS Material: Atomic Structure and Modeling of ON/OFF Switching

Advanced Functional Materials, EarlyView.
The structural puzzle of glassy GeS, an advanced memory‐selector material, has finally been disentangled, revealing a patchwork of mixed tetrahedral and trigonal species. Under a high electric field, over‐ and under‐coordinated Ge and S defects, together with three‐membered rings, form an interconnected network associated with localized and extended ...
Andrey Tverjanovich, Jörg C. Neuefeind, Chris J. Benmore, Daniele Fontanari, Anton Sokolov, Maxim Khomenko, Shinji Kohara, Aleksei Bytchkov, Takeshi Usuki, Maria Bokova, Mohammad Kassem, Pascal Masselin, Mariana Milochova, Eugene Bychkov   +13 more
wiley   +1 more source

Integrating Cacao Physicochemical-Sensory Profiles via Gaussian Processes Crowd Learning and Localized Annotator Trustworthiness. [PDF]

Foods
Lugo-Rojas JC, Chica-Morales MJ, Florez-González SL, Álvarez-Meza AM, Castellanos-Dominguez G.   +4 more
europepmc   +1 more source

Configuration‐Encoded Cell Alignment by Light‐Gated Silicon Photovoltaic Microcell Arrays

Advanced Functional Materials, EarlyView.
Light‐gated silicon photovoltaic microcells convert pulsed illumination into localized electrical cues. Arranging otherwise similar microcells into four‐lobed, six‐lobed, or circular patterns directs fibroblasts into corresponding local arrangements without wired stimulation.
Yifan Tao, Ilayda Namli, Joseph Christakiran Moses, Youdi Liu, Suihong Liu, Syed Hasan Askari Rizvi, Yasar Ozer Yilmaz, Ibrahim T. Ozbolat   +7 more
wiley   +1 more source