Results 41 to 50 of about 96,602 (273)
Molecular Oncology, EarlyView.Aldehyde dehydrogenase 1A1 (ALDH1A1) is a cancer stem cell marker in several malignancies. We established a novel epithelial cell line from rectal adenocarcinoma with unique overexpression of this enzyme. Genetic attenuation of ALDH1A1 led to increased invasive capacity and metastatic potential, the inhibition of proliferation activity, and ultimately ...
Martina Poturnajova +25 more
wiley +1 more source
Automatic Digital Modulation Classification Based on Curriculum Learning
Applied Sciences, 2019 Neural network shows great potential in modulation classification because of its excellent accuracy and achievability but overfitting and memorizing data noise often happen in previous researches on automatic digital modulation classifier.
Min Zhang +5 more
doaj +1 more source
An experiment in audio classification from compressed data [PDF]
, 2004 In this paper we present an algorithm for automatic classification of sound into speech, instrumental sound/ music and silence. The method is based on thresholding of features derived from the modulation envelope of the frequency limited audio signal ...
Jarina, Roman +3 more
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Fast Deep Learning for Automatic Modulation Classification
CoRR, 2019 29 pages, 30 figures, submitted to Journal on Selected Areas in Communications - Special Issue on Machine Learning in Wireless ...
Sharan Ramjee +5 more
openaire +2 more sources
CCDC80 suppresses high‐grade serous ovarian cancer migration via negative regulation of B7‐H3
Molecular Oncology, EarlyView.PAX8 is a lineage‐specific master regulator of transcription in high‐grade serous ovarian cancer (HGSC) progression. We show for the first time that PAX8 facilitates proliferation and metastasis by repressing the cell autonomous tumor suppressor CCDC80 and inducing B7‐H3 expression.
Aya Saleh +12 more
wiley +1 more source
Towards explainability for AI-based edge wireless signal automatic modulation classification
Journal of Cloud Computing: Advances, Systems and ApplicationsWith the development of artificial intelligence technology and edge computing technology, deep learning-based automatic modulation classification (AI-based AMC) deployed at edge devices using centralised or distributed learning methods for optimisation ...
Bo Xu +8 more
doaj +1 more source
Automatic Modulation Classification Using Compressive Convolutional Neural Network
IEEE Access, 2019 The deep convolutional neural network has strong representative ability, which can learn latent information repeatedly from signal samples and improve the accuracy of automatic modulation classification (AMC).
Sai Huang +6 more
doaj +1 more source
Spectral Attention-Driven Intelligent Target Signal Identification on a Wideband Spectrum
, 2019 This paper presents a spectral attention-driven reinforcement learning based intelligent method for effective and efficient detection of important signals in a wideband spectrum.
Madanayakey, Arjuna +3 more
core +1 more source
FEBS Open Bio, EarlyView.CRISPRI‐mediated gene silencing and phenotypic exploration in nontuberculous mycobacteria. In this Research Protocol, we describe approaches to control, monitor, and quantitatively assess CRISPRI‐mediated gene silencing in M. smegmatis and M. abscessus model organisms.
Vanessa Point +7 more
wiley +1 more source
Dysphonia Detection based on modulation spectral features and cepstral coefficients [PDF]
, 2010 In this paper, we combine modulation spectral features with mel-frequency cepstral coefficients for automatic detection of dysphonia. For classification purposes, dimensions of the original modulation spectra are reduced using higher order singular value
Arias Londoño, Julian +3 more
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