Results 71 to 80 of about 6,054,309 (203)

Financial markets: very noisy information processing [PDF]

, 1998
We report new results about the impact of noise on information processing with application to financial markets. These results quantify the tradeoff between the amount of data and the noise level in the data.
Abu-Mostafa, Yaser S., Magdon-Ismail, Malik, Nicholson, Alexander   +2 more
core   +1 more source

Kans-Unet Model and Its Application in Image Patch-Shaped Detection

IEEE Access
This study proposes a new detection method Kans-Unet, which combines Kans and U-net architecture. Specifically, the method embeds a convolution module based on Kans (Kan-Conv) in the encoder. The module applies a learnable activation function at the edge
Xingsu Li, Zhong Li, Jianping Huang, Ying Han, Kexin Zhu, Bo Hao, Junjie Song, Yumeng Huo   +7 more
doaj   +1 more source

Certainty and Uncertainty in Quantum Information Processing [PDF]

, 2007
This survey, aimed at information processing researchers, highlights intriguing but lesser known results, corrects misconceptions, and suggests research areas.
Rieffel, Eleanor G.
core   +2 more sources

Optical memory disks in optical information processing [PDF]

, 1990
We describe the use of optical memory disks as elements in optical information processing architectures. The optical disk is an optical memory devicew ith a storage capacity approaching 1010b its which is naturally suited to parallel access.
Kobayashi, Seiji, Neifeld, Mark A., Psaltis, Demetri, Yamamura, Alan   +3 more
core  

Eigenvalue Based Detection by Combining Eigenvector-Correlated Signal in Low SNR Environment

IET Signal Processing
Eigenvalue detection is extensively utilized in numerous applications, including spectrum sensing in cognitive radio. However, the characteristics of the Tracy–Widom (TW2) distribution and its lack of accurate close-form expression limit the detection ...
Wei Ge, Chao Yang, Yizhou Feng, Xiaofang Deng, Lin Zheng   +4 more
doaj   +1 more source

Convolutional Neural Network Based Joint Estimation of Direction of Arrival and Polarisation Parameters

IET Radar, Sonar & Navigation
In this paper, a convolutional neural network (CNN) based algorithm for joint estimation of direction of arrival (DOA) and polarisation parameters is introduced.
Pangzhe Li, Dexiu Hu, Chuang Zhao
doaj   +1 more source

An Improved Method for Named Entity Recognition and Its Application to CEMR

Future Internet, 2019
Named Entity Recognition (NER) on Clinical Electronic Medical Records (CEMR) is a fundamental step in extracting disease knowledge by identifying specific entity terms such as diseases, symptoms, etc.
Ming Gao, Qifeng Xiao, Shaochun Wu, Kun Deng   +3 more
doaj   +1 more source

Photon engineering for quantum information processing

, 2003
We study distinguishing information in the context of quantum interference involving more than one parametric downconversion (PDC) source and in the context of polarization-entangled photon pairs based on PDC.
Banaszek, K., U'Ren, A. B., Walmsley, I. A.   +2 more
core   +1 more source

Information Technology for Processing of Industrial BigData with Distributed Infrastructure on the Basis of Smart Agents and Parallel Algorithms [PDF]

, 2017
Volume 7 Issue 9 (September ...
Kupin, A. (Andrey), Muzika, I. (Ivan), Poddubny, B. (Bogdan), Savytskyi, O. (Oleksandr)   +3 more
core  

Data processing large quantities of multispectral information [PDF]

, 1975
Method is combination of digital and optical techniques. Multispectral data is coded into binary matrix format and then encoded onto photographic film. Film is holographically correlated with spectral signature to generate single-class classification map.
Haskell, R. E.
core   +1 more source