Results 211 to 220 of about 328,450 (323)
A knowledge model for bridging semantic gaps between multiple water information sources
Y Shu +22 more
openalex +1 more source
ABSTRACT This article presents the development of a five‐phase Indigenous Data Governance (IDGov) Framework in Australia, focusing on partnerships between the Aboriginal Community Controlled Health Organisation (ACCHO) sector and non‐Indigenous health entities.
Jacob Prehn +4 more
wiley +1 more source
A Cross-Scale Spatial-Semantic Feature Aggregation Network for Strip Steel Surface Defect Detection. [PDF]
Xu C, Sun Y, Huang L, Guo H.
europepmc +1 more source
ABSTRACT It is the priority of Aboriginal and Torres Strait Islander communities, and Australian governments, to provide infants with enriching environments in which they may thrive. This is particularly critical during the perinatal period. Yet, an increasing number of notifications and interventions by child protection authorities are occurring in ...
Neve Mucabel‐Bue +11 more
wiley +1 more source
AI powered multi feature fusion framework for retrieving images using color, texture and shape descriptors. [PDF]
Naveen K, Parvathi RMS.
europepmc +1 more source
Anatomical Progression of Neuropathology in FTLD‐TDP Type C and Linkage to Annexin A11
Objective Frontotemporal lobar degenerations (FTLD)‐TDP type C (TDP‐C) is distinguished from other FTLD‐TDP subtypes by 3 unique features: (1) invariable onset in the anterior temporal lobe (ATL), (2) phosphorylated TDP‐43 (pTDP) neurites in cortex, and (3) colocalization of all pTDP deposits with annexin A11 (ANXA11).
Allegra Kawles +7 more
wiley +1 more source
Sim-to-real domain adaptation based completion level recognition for autonomous micro-drilling in biomedical application. [PDF]
Zhao E, Perez SAH, Harada K.
europepmc +1 more source
ABSTRACT To address the issues of neglecting the spatiotemporal correlations among process variables, low‐level features are vulnerable to noise interference, and the gradual loss of key information layer by layer during deep network training in traditional stacked autoencoder‐based soft‐sensor models, this paper proposes a hierarchical complementary ...
Xiaoping Guo, Jinghong Guo, Yuan Li
wiley +1 more source

