Results 111 to 120 of about 846,629 (324)
, 2003 Bayesian methods allow for a simple and intuitive representation of the function spaces used by kernel methods. This chapter describes the basic principles of Gaussian Processes, their implementation and their connection to other kernel-based Bayesian estimation methods, such as the Relevance Vector Machine.
Smola, Alexander, Schoelkopf, Bernhard
openaire +2 more sources
Advanced Materials, EarlyView.Screen gate‐based transistors are presented, enabling tunable analog sigmoid and Gaussian activations. The SA‐transistor improves MRI classification accuracy, while the GA‐transistor supports precise Gaussian kernel tuning for forecasting. Both functions are implemented in a single device, offering compact, energy‐efficient analog AI processing ...
Junhyung Cho +9 more
wiley +1 more source
A new kernel method for hyperspectral image feature extraction
Geo-spatial Information Science, 2017 Hyperspectral image provides abundant spectral information for remote discrimination of subtle differences in ground covers. However, the increasing spectral dimensions, as well as the information redundancy, make the analysis and interpretation of ...
Bin Zhao +3 more
doaj +1 more source
Advanced Materials, EarlyView.Sub‐atomic scale separation of hydrogen isotopes (H+/D+) require near pristine h‐BN membranes, and scalable synthesis of such high‐quality h‐BN comparable to mechanically exfoliated crystals remains a significant challenge. This study reports a scalable Fe‐catalyzed Machine‐Learning Enabled Chemical vapor deposition process for bottom‐up large‐area ...
Pavan Chaturvedi +8 more
wiley +1 more source
Recent Progress on Flexible Multimodal Sensors: Decoupling Strategies, Fabrication and Applications
Advanced Materials, EarlyView.In this review, we establish a tripartite decoupling framework for flexible multimodal sensors, which elucidates the underlying principles of signal crosstalk and their solutions through material design, structural engineering, and AI algorithms. We also demonstrate its potential applications across environmental monitoring, health monitoring, human ...
Tao Wu +10 more
wiley +1 more source
A kernel-based discretisation method for first order partial differential equations of evolution type [PDF]
, 2016 Tobias Ramming, Holger Wendland
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Superionic Amorphous Li2ZrCl6 and Li2HfCl6
Advanced Materials, EarlyView.Amorphous Li2HfCl6 and L2ZrCl6 are shown to be promising solid‐state electrolytes with predicted ionic conductivities >20 mS·cm−1. Molecular dynamics simulations with machine‐learning force fields reveal that anion vibrations and flexible MCl6 octahedra soften the Li coordination cage and enhance mobility. Correlation between Li‐ion diffusivity and the
Shukai Yao, De‐en Jiang
wiley +1 more source
RGB-T Object Detection With Failure Scenarios
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingCurrently, RGB-thermal (RGB-T) object detection algorithms have demonstrated excellent performance, but issues such as modality failure caused by fog, strong light, sensor damage, and other conditions can significantly impact the detector's ...
Qingwang Wang +3 more
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A dose voxel kernel method for rapid reconstruction of out-of-field neutron dose of patients in pencil beam scanning (PBS) proton therapy. [PDF]
Phys Med Biol, 2020 Yeom YS +5 more
europepmc +1 more source
Advanced Materials Interfaces, EarlyView.Here, we present a nanotechnology approach to construct synthetic lipid rafts on the live T cell membrane, leveraging a versatile DNA origami‐enabled platform named as the “cholesterol nano‐patch” (CNP). Our investigation highlights the effectiveness of DNA nanotechnology in exploring the impact of nanoscale arrangement of cholesterols on the ...
Yunmin Jung +4 more
wiley +1 more source