Results 91 to 100 of about 16,140,327 (331)
Classification of binary systematic codes of small defect
Le Matematiche, 2014 In this paper non-trivial non-linear binary systematic AMDS codes are classified in terms of their weight distributions, employing only elementary techniques.
Alberto Ravagnani
doaj
Molecular Oncology, EarlyView.Matched spatial transcriptomics and single‐nuclei RNA‐seq were generated for anaplastic and BRAFV600E papillary thyroid cancers revealing generic and tumor‐specific states occurring in cancer cells and in the tumor microenvironment. In this context, cancer dedifferentiation mirrored organoid maturation through ordered thyroid marker gain/loss ...
Adrien Tourneur +11 more
wiley +1 more source
SDD-CNN: Small Data-Driven Convolution Neural Networks for Subtle Roller Defect Inspection
Applied Sciences, 2019 Roller bearings are some of the most critical and widely used components in rotating machinery. Appearance defect inspection plays a key role in bearing quality control. However, in real industries, bearing defects are usually extremely subtle and have a
Xiao-Hang Xu +4 more
semanticscholar +1 more source
Translating whole‐genome doubling into precision medicine in cancer
Molecular Oncology, EarlyView.Whole‐genome doubling creates a WGD‐positive tumor state characterized by persistent chromosomal instability, karyotypic diversification, and cellular stress. These same biological pressures drive aggressive tumor evolution while exposing therapeutic vulnerabilities, providing a rationale for WGD‐informed precision medicine. Whole‐genome doubling (WGD)
Sejung Lee, Junghyeok Lim, Jinhyuk Bhin
wiley +1 more source
Optimizing Insulator Defect Detection with Improved DETR Models
MathematicsWith the increasing demand for electricity, the power grid is undergoing significant advancements. Insulators, which serve as protective devices for transmission lines in outdoor high-altitude power systems, are widely employed. However, the detection of
Dong Li, Panfei Yang, Yuntao Zou
doaj +1 more source
Researcher bias: The use of machine learning in software defect prediction [PDF]
, 2014 This is the author's accepted manuscript. The final published article is available from the link below. Copyright @ 2014 IEEE. Personal use of this material is permitted.
Bowes, David +5 more
core +1 more source
Molecular Oncology, EarlyView.This review summarizes the transcription factors, repressive chromatin‐modifying complexes, and epigenetic mechanisms that control fetal hemoglobin repression. Notably, many regulators of γ‐globin silencing also function in transcriptional and epigenetic networks that drive cancer, highlighting opportunities to translate advances in hemoglobinopathy ...
Meigen Yu +3 more
wiley +1 more source
Defect and fault tolerance techniques for nano-electronics
, 2011 Nanotechnology-based devices are believed to be the future possible alternative to CMOS-based devices. It is predicted that the high integration density offered by emerging nanotechnologies will be accompanied by high manufacturing defect rates and high ...
Melouki, Aissa
core +1 more source
Small Farm Quarterly - Summer 2014
, 2014 Small Farm Quarterly is for farmers and farm families — including spouses and children - who value the quality of life that smaller farms provide. OUR GOALS ARE TO: Celebrate the Northeast region’s smaller farms; Inspire and inform farm families and
Cornell Small Farms Program
core +4 more sources
Defect detection of friction stir welding based on deep learning and infrared imaging
Hanjie xuebaoTo address the problem of insufficient detection accuracy of visual detection by visible light in surface defect identification of welded joints, which is mainly susceptible to factors, such as illumination variations, simple backgrounds, small defect ...
Daxin REN +5 more
doaj +1 more source