Results 131 to 140 of about 3,209,064 (352)
Manuscript Character Recognition
The image recognizing process requires the identification of every logical object that compose every image, which first implies to recognize it as an object (segmentation) and then identify which object is, or at least which is the most likely one from the universe of objects that can be recognized (recognition).
De Giusti, Marisa Raquel +2 more
openaire +1 more source
Optical Character Recognition from Printed Text Images
T. Kameswara Rao +4 more
openalex +1 more source
The newfound relationship between extrachromosomal DNAs and excised signal circles
Extrachromosomal DNAs (ecDNAs) contribute to the progression of many human cancers. In addition, circular DNA by‐products of V(D)J recombination, excised signal circles (ESCs), have roles in cancer progression but have largely been overlooked. In this Review, we explore the roles of ecDNAs and ESCs in cancer development, and highlight why these ...
Dylan Casey, Zeqian Gao, Joan Boyes
wiley +1 more source
KurdSet: A Kurdish Handwritten Characters Recognition Dataset Using Convolutional Neural Network [PDF]
Sardar Hasen Ali +1 more
openalex +1 more source
This study reveals how the mitochondrial protein Slm35 is regulated in Saccharomyces cerevisiae. The authors identify stress‐responsive DNA elements and two upstream open reading frames (uORFs) in the 5′ untranslated region of SLM35. One uORF restricts translation, and its mutation increases Slm35 protein levels and mitophagy.
Hernán Romo‐Casanueva +5 more
wiley +1 more source
Character recognition competition for street view shop signs. [PDF]
Tang J +7 more
europepmc +1 more source
A NEURAL NETWORK METHOD TO PERFORM OPTICAL CHARACTER RECOGNITION OF PRINTED CHARACTERS
Antony Joyson D Souza +2 more
openalex +1 more source
Detection and Recognition of Tilted Characters on Railroad Wagon Wheelsets Based on Deep Learning [PDF]
Fengxia Xu +4 more
openalex +1 more source
In situ molecular organization and heterogeneity of the Legionella Dot/Icm T4SS
We present a nearly complete in situ model of the Legionella Dot/Icm type IV secretion system, revealing its central secretion channel and identifying new components. Using cryo‐electron tomography with AI‐based modeling, our work highlights the structure, variability, and mechanism of this complex nanomachine, advancing understanding of bacterial ...
Przemysław Dutka +11 more
wiley +1 more source
Reconstructed SqueezeNext with C-CBAM for offline handwritten Chinese character recognition. [PDF]
Wu R, Zhou F, Li N, Liu X, Wang R.
europepmc +1 more source

