Results 221 to 230 of about 19,228,694 (296)

An object detection algorithm based on deep learning and salient feature fusion for roadside surveillance camera

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract In intelligent transportation systems, object detection for a surveillance video is one of the important functions. The performance of existing surveillance video object detection algorithms is affected by the conflict between the features of the objects, which leads to a decline in precision.
Yang He, Lisheng Jin, Huanhuan Wang, Xinyu Sun, Zhen Huo, Guangqi Wang   +5 more
wiley   +1 more source

Existence Results for the p-Laplacian with Nonlinear Boundary Conditions

, 2001
Julián Fernández Bonder, Julio D. Rossi   +1 more
openalex   +1 more source

IDH Genotyping and Glioma Prognosis Research Based on an Interpretable Transformer Learning Framework

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Accurate genotyping and prognosis of glioma patients present significant clinical challenges, often dependent on subjective judgement and insufficient scientific evidence. This study aims to develop a robust, noninvasive preoperative multi‐modal MRI‐based transformer learning model to predict IDH genotyping and glioma prognosis.
Xuan Yu, Yaping Wu, Yan Bai, Nan Meng, Shuting Jin, Qingxia Wu, Lijuan Chen, Ningli Wang, Xiaosheng Song, Guofeng Shen, Meiyun Wang   +10 more
wiley   +1 more source

Fredholm Alternative for the p-Laplacian in Higher Dimensions

, 2001
Pavel Drábek, Gabriela Holubová
openalex   +1 more source

Existence theory for single and multiple solutions to singular positone boundary value problems for the delay one-dimensional p-Laplacian [PDF]

, 2003
Daqing Jiang, Xiaojie Xu, Donal O’Regan, Ravi P. Agarwal   +3 more
openalex   +1 more source

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

High 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, Omar Rivera‐Caballero, Héctor Poveda, Jorge Alfredo Ardila‐Rey, Carlos Boya‐Lara   +4 more
wiley   +1 more source

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

Journal 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, Joseph Brunet, Theresa Urban, Hector Dejea, Leandre Admans, Renaud Boistel, Morgane Sowinski, Pierre Paleo, Henry Payno, Stijn E. Verleden, Camille Berruyer, Elodie Boller, Claire L. Walsh, Peter D. Lee, Paul Tafforeau   +14 more
wiley   +1 more source

On a Reverse Estimate for Hodge Decompositions of p-Laplacian Type Operators

, 2001
Baisheng Yan
openalex   +1 more source

Positive solutions for classes of $p$-Laplacian equations [PDF]

, 2003
Maya Chhetri, Shobha Oruganti, R. Shivaji   +2 more
openalex   +1 more source

Temporal ghost imaging for pump–probe X‐ray solution scattering

Acta Crystallographica Section A, EarlyView.
An algorithm is described to recover super‐temporal resolution dynamics of X‐ray scattering profiles of photo‐excited biomolecules in solution from pump–probe X‐ray solution scattering data.Time‐resolved small‐ and wide‐angle X‐ray scattering is a valuable tool for investigating biomolecular dynamics on a wide variety of timescales, without cryo ...
B. R. Mobley, Kevin E. Schmidt, R. A. Kirian   +2 more
wiley   +1 more source