Results 81 to 90 of about 2,398,960 (400)

Learning pairing symmetries in disordered superconductors using spin-polarized local density of states

New Journal of Physics, 2020
We construct an artificial neural network to study the pairing symmetries in disordered superconductors. For Hamiltonians on square lattice with s-wave, d-wave, and nematic pairing potentials, we use the spin-polarized local density of states near a ...
Liang Chen, Chen-Xi Wang, Rong-Sheng Han, Ye-Qi Zhang   +3 more
doaj   +1 more source

Assessing Intelligence in Artificial Neural Networks [PDF]

arXiv, 2020
The purpose of this work was to develop of metrics to assess network architectures that balance neural network size and task performance. To this end, the concept of neural efficiency is introduced to measure neural layer utilization, and a second metric called artificial intelligence quotient (aIQ) was created to balance neural network performance and
arxiv  

Multilayered feed forward Artificial Neural Network model to predict the average summer-monsoon rainfall in India

, 2006
In the present research, possibility of predicting average summer-monsoon rainfall over India has been analyzed through Artificial Neural Network models.
A.J. Matthews, B. Men, B. Sivakumar, B. Sivakumar, B. Sivakumar, B. Widrow, B.G. Brown, C. Cartalis, C. Varotsos, C. Varotsos, C. Varotsos, C.P. Jacovides, D.S. Wilks, D.S. Wilks, E.H. Chin, J.B. Elsner, J.M. Gregory, K.Y. Kondratyev, K.Y. Kondratyev, L. Ferranti, M. Gevrey, M.J.C. Hu, M.W. Gardner, O.C. Clark, P. Guhathakurta, P. Perez, P. Perez, P.D. Sardeshmukh, P.R.C. Reddy, S. Gadgil, S. Haykin, S. Lee, S.K. Pal, S.M.S. Nagendra, S.V. Kamarthi, S.V. Kartalopoulos, Surajit Chattopadhyay, T. Shinoda, T.J. Sejnowski, T.M. Smith, W.W. Hsieh   +40 more
core   +1 more source

Searching for turbulence models by artificial neural network [PDF]

, 2016
Artificial neural network (ANN) is tested as a tool for finding a new subgrid model of the subgrid-scale (SGS) stress in large-eddy simulation. ANN is used to establish a functional relation between the grid-scale (GS) flow field and the SGS stress ...
Masataka Gamahara, Y. Hattori
semanticscholar   +1 more source

Review of the application of dual‐energy CT combined with radiomics in the diagnosis and analysis of lung cancer

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Lung cancer is one of the most common malignant tumors in the world. Early detection and precise treatment are of great significance to clinical decision‐making and patient prognosis. As an emerging imaging technology, dual‐energy computed tomography (DECT) has increasingly prominent advantages in multi‐parameter and quantitative analysis in ...
Rongyu Zhang, Hao Zheng, Jie Lin, Junna Wang   +3 more
wiley   +1 more source

Implementing artificial neural networks through bionic construction.

PLoS ONE, 2019
It is evident through biology research that, biological neural network could be implemented through two means: by congenital heredity, or by posteriority learning.
Hu He, Xu Yang, Zhiheng Xu, Ning Deng, Yingjie Shang, Guo Liu, Mengyao Ji, Wenhao Zheng, Jinfeng Zhao, Liya Dong   +9 more
doaj   +1 more source

Eigen Artificial Neural Networks

, 2019
45 pages, 4 ...
openaire   +3 more sources

A review of artificial intelligence in brachytherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen, Richard L. J. Qiu, Tonghe Wang, Shadab Momin, Xiaofeng Yang   +4 more
wiley   +1 more source

Human papillomavirus (HPV) prediction for oropharyngeal cancer based on CT by using off‐the‐shelf features: A dual‐dataset study

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background This study aims to develop a novel predictive model for determining human papillomavirus (HPV) presence in oropharyngeal cancer using computed tomography (CT). Current image‐based HPV prediction methods are hindered by high computational demands or suboptimal performance.
Junhua Chen, Yanyan Cheng, Lijun Chen, Banghua Yang   +3 more
wiley   +1 more source

ARTIFICIAL NEURAL NETWORK FOR MODELS OF HUMAN OPERATOR

Acta Polytechnica CTU Proceedings, 2017
This paper presents a new approach to mental functions modeling with the use of artificial neural networks. The artificial neural networks seems to be a promising method for the modeling of a human operator because the architecture of the ANN is directly
Martin Ruzek
doaj   +1 more source