Results 51 to 60 of about 490,787 (262)
Speech Processing in Computer Vision Applications [PDF]
Deep learning has been recently proven to be a viable asset in determining features in the field of Speech Analysis. Deep learning methods like Convolutional Neural Networks facilitate the expansion of specific feature information in waveforms, allowing ...
Waterworth, Nicholas
core +2 more sources
Rad27/FEN1 prevents accumulation of Okazaki fragments and ribosomal DNA copy number changes
The budding yeast Rad27 is a structure‐specific endonuclease. Here, the authors reveal that Rad27 is crucial for maintaining the stability of the ribosomal RNA gene (rDNA) region. Rad27 deficiency leads to the accumulation of Okazaki fragments and changes in rDNA copy number.
Tsugumi Yamaji +3 more
wiley +1 more source
Age and Gender prediction using Convolution, ResNet50 and Inception ResNetV2
Age and gender prediction are used extensively in the field of computer vision for surveillance. Advancement in computer vision makes this prediction even more practical and open to all, thus enables the world to come up with datasets, one of which, used
Avuthu Sai Meghana
semanticscholar +1 more source
Mitochondrial fatty acid oxidation is stimulated by red light irradiation
Light at different wavelengths has distinct effects on keratinocyte viability and metabolism. UVA light abrogates metabolic fluxes. Blue and green light have no effect on metabolic fluxes, while red light enhanced oxidative phosphorylation by promoting fatty acid oxidation. Keratinocytes are the primary constituents of sunlight‐exposed epidermis.
Manuel Alejandro Herrera +4 more
wiley +1 more source
Hypercontractive inequalities via SOS, and the Frankl-Rödl graph
Hypercontractive inequalities via SOS, and the Frankl-Rödl graph, Discrete Analysis 2016:4, 20 pp. One of the major unsolved problems in theoretical computer science is the unique games conjecture of Subhash Khot. Its importance lies in the fact that it
Manuel Kauers +3 more
doaj +1 more source
A Cre‐dependent lentiviral vector for neuron subtype‐specific expression of large proteins
We designed a versatile and modular lentivector comprising a Cre‐dependent switch and self‐cleaving 2A peptide and tested it for co‐expression of GFP and a 2.8 kb gene of interest (GOI) in mouse cortical parvalbumin (PV+) interneurons and midbrain dopamine (TH+) neurons.
Weixuan Xue +6 more
wiley +1 more source
Parallel Multi Channel Convolution using General Matrix Multiplication
Convolutional neural networks (CNNs) have emerged as one of the most successful machine learning technologies for image and video processing. The most computationally intensive parts of CNNs are the convolutional layers, which convolve multi-channel ...
Anderson, Andrew +2 more
core +1 more source
A Survey on Computer Vision Architectures for Large Scale Image Classification using Deep Learning
The advancement in deep learning is increasing day-by-day from image classification to language understanding tasks. In particular, the convolution neural networks are revived and shown their performance in multiple fields such as natural language ...
D. Himabindu, S. Kumar
semanticscholar +1 more source
Loss of the frequently mutated chromatin remodeler ARID1A, a subunit of the SWI/SNF cBAF complex, results in less open chromatin, alternative splicing, and the failure to stop cells from progressing through the cell cycle after DNA damage in bladder (cancer) cells. Created in BioRender. Epigenetic regulators, such as the SWI/SNF complex, with important
Rebecca M. Schlösser +11 more
wiley +1 more source
Saliency-guided video classification via adaptively weighted learning
Video classification is productive in many practical applications, and the recent deep learning has greatly improved its accuracy. However, existing works often model video frames indiscriminately, but from the view of motion, video frames can be ...
Peng, Yuxin, Zhao, Yunzhen
core +1 more source

