Results 81 to 90 of about 122,388 (186)
Segmentation‐enhanced gamma spectrum denoising based on deep learning
Gamma spectrum denoising can reduce the adverse effects of statistical fluctuations of radioactivity, gamma ray scattering, and electronic noise on the measured gamma spectrum.
Xiangqun Lu +6 more
doaj +1 more source
Научный руководитель С.А. Ермолаева. В статье рассматриваются некоторые наиболее интересные свойства современных нейронных сетей, их устройство и характеристики. Также приведена краткая история появления современных методов искусственного интеллекта, моделирующих деятельность человеческого мозга.
openaire +1 more source
Quantifying finger kinematics can improve the authors’ understanding of finger function and facilitate the design of efficient prosthetic devices while also identifying movement disorders and assessing the impact of rehabilitation interventions.
Manuela Paulina Trejo Ramírez +3 more
doaj +1 more source
The dimension of relevant text feature space and feature weight of substation main equipment defect information is high, so it is difficult to accurately select mining features.
Xiaoqing Mai +3 more
doaj +1 more source
Do neural nets learn statistical laws behind natural language? [PDF]
Takahashi S, Tanaka-Ishii K.
europepmc +1 more source
Predictive markers for Parkinson's disease using deep neural nets on neuromelanin sensitive MRI. [PDF]
Shinde S +6 more
europepmc +1 more source
Biological Mechanisms for Learning: A Computational Model of Olfactory Learning in the Manduca sexta Moth, With Applications to Neural Nets. [PDF]
Delahunt CB, Riffell JA, Kutz JN.
europepmc +1 more source
Two Machine Learning Models to Economize Glaucoma Screening Programs: An Approach Based on Neural Nets. [PDF]
Hitzl W +3 more
europepmc +1 more source
Multiple surface segmentation using convolution neural nets: application to retinal layer segmentation in OCT images. [PDF]
Shah A, Zhou L, Abrámoff MD, Wu X.
europepmc +1 more source

