YOLO‐GDCNN: Real‐Time Operating Point Detection for Live Working Robots in the Power Industry
ABSTRACT In the power industry maintenance, the capability of live working robots to detect and operate with power components in real time is paramount. This paper proposes a cascaded detection framework for real‐time detection of live working operation points, named YOLO‐GDCNN. The framework consists of two parts.
Haoning Zhao +7 more
wiley +1 more source
FDA Approval of Artificial Intelligence and Machine Learning Devices in Radiology: A Systematic Review. [PDF]
Sivakumar R, Lue B, Kundu S.
europepmc +1 more source
Multi-task learning by using contextualized word representations for syntactic parsing of a morphologically rich language. [PDF]
Ehsan T +4 more
europepmc +1 more source
A resource description framework (RDF) model of named entity co-occurrences in biomedical literature and its integration with PubChemRDF. [PDF]
Li Q +5 more
europepmc +1 more source
Coronary artery calcium identified on non-gated chest computed tomography guides downstream coronary computed tomography angiography. [PDF]
Yang A, Li S, Ma T, Xu Y, He Y.
europepmc +1 more source
Decoding FDA Labeling of Prescription Digital Therapeutics: A Cross-Sectional Regulatory Study. [PDF]
Lakhan SE.
europepmc +1 more source
Brain-computer interface commercialization. [PDF]
Powell J, Zhou A.
europepmc +1 more source
Consistent Argument-Predicate Binding Is Important for Predicate-Predicate Lin
Sheya, Adam, Hanania, Rima, Demir, Hilmi
openaire +1 more source

