Results 241 to 250 of about 48,454 (295)

A single-snapshot inverse solver for two-species graph model of tau pathology spreading in human Alzheimer's disease. [PDF]

open access: yesBrain Inform
Wen Z   +3 more
europepmc   +1 more source

Graph Neural Networks Empowered Origin‐Destination Learning for Urban Traffic Prediction

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Urban traffic prediction with high precision is always the unremitting pursuit of intelligent transportation systems and is instrumental in bringing smart cities into reality. The fundamental challenges for traffic prediction lie in the accurate modelling of spatial and temporal traffic dynamics.
Chuanting Zhang   +3 more
wiley   +1 more source

Exploring High Dimensional Feature Space With Channel‐Spatial Nonlinear Transforms for Learned Image Compression

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Nonlinear transforms have significantly advanced learned image compression (LIC), particularly using residual blocks. This transform enhances the nonlinear expression ability and obtain compact feature representation by enlarging the receptive field, which indicates how the convolution process extracts features in a high dimensional feature ...
Wen Tan   +4 more
wiley   +1 more source

Separation Maps for Classification of Multiple Partial Discharges: A Comparative Study Focusing on Time and Frequency Characteristics

open access: yesHigh Voltage, EarlyView.
ABSTRACT Electrical insulation faults produce partial discharges (PD), which can be analysed to identify specific types of defects. PD clustering is a widely used method to identify PD sources, although its success depends largely on the feature maps used.
Jannery Rivas   +4 more
wiley   +1 more source

Eikonal Phase Retrieval: unleashing the potential of fourth‐generation sources for enhanced propagation‐based tomography on biological samples

open access: yesJournal of Synchrotron Radiation, EarlyView.
A new iterative phase retrieval algorithm, Eikonal Phase Retrieval, tackles large phase gradients and yields higher‐quality propagation‐based X‐ray tomography of strongly heterogeneous biological samples.The evolution of synchrotrons towards higher brilliance beams has increased the possible sample‐to‐detector propagation distances for which the source
Alessandro Mirone   +14 more
wiley   +1 more source

Comparison theorems on H-type sub-Riemannian manifolds. [PDF]

open access: yesCalc Var Partial Differ Equ
Baudoin F   +3 more
europepmc   +1 more source

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