er.cs.ucla.edu

eHealth Research Lab

Hover on images to see descriptions. Choosing the optimal epidural stimulation variables, such as the frequency, intensity, and location of the stimulation, significantly affects maximal motor functionality. This project suggests a novel technique using machine learning methods to maximize the functionality of a SCI patients after epidural stimulation. Depression and Suicide Risk. Dementia and Cognitive Impairement. Woman Living With AIDS. Context-Aware Feature Query to Improve the Prediction Performance...

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Hover on images to see descriptions. Choosing the optimal epidural stimulation variables, such as the frequency, intensity, and location of the stimulation, significantly affects maximal motor functionality. This project suggests a novel technique using machine learning methods to maximize the functionality of a SCI patients after epidural stimulation. Depression and Suicide Risk. Dementia and Cognitive Impairement. Woman Living With AIDS. Context-Aware Feature Query to Improve the Prediction Performance...

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eHealth Research Lab | er.cs.ucla.edu Reviews

https://er.cs.ucla.edu

Hover on images to see descriptions. Choosing the optimal epidural stimulation variables, such as the frequency, intensity, and location of the stimulation, significantly affects maximal motor functionality. This project suggests a novel technique using machine learning methods to maximize the functionality of a SCI patients after epidural stimulation. Depression and Suicide Risk. Dementia and Cognitive Impairement. Woman Living With AIDS. Context-Aware Feature Query to Improve the Prediction Performance...

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er.cs.ucla.edu

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UCLA Embedded and Reconfigurable Systems Lab

http://er.cs.ucla.edu/people.html

Members of the Group. PhD Alumni in Academia. Professor (EE), SungKyunKwan University, Korea. Associate prof (EE), National Chung Hsing University, Taiwan. Associate Prof (IECS), Feng Chia University, Taiwan. Associate Professor (ECE), University of Minnesota, USA. Associate Professor (ECE), University of Maryland, USA. Professor (CS), University of California, San Diego, USA. Associate Professor (ECE), Northwestern University, USA. Associate Professor (CS), University of California, Irvine , USA.

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UCLA Embedded and Reconfigurable Systems Lab

http://er.cs.ucla.edu/links.html

University of California, Los Angeles. Wireless Health Institute (WHI). UCLA VLSI CAD Lab. UCLA Digital Arithmetic and Reconfigurable Architecture Lab. UCLA Lab for Embedded Collaborative Systems (LECS). UCLA Multimedia System Lab.

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UCLA Embedded and Reconfigurable Systems Lab

http://er.cs.ucla.edu/index.html

EHealth and Data Analytics Research lab (ER). Computer Science Department, University of California, Los Angeles.

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rfab.cs.ucla.edu

Reconfigurable Fabric Project

http://rfab.cs.ucla.edu/index.html

This material is based upon work supported by the National Science Foundation under Grant No. 0205682. Los Angeles, CA 90095. Los Angeles, CA 90095. Directions to Computer Science Department (from department website). Wednesday July 02, 2003 11:02 AM -0700.

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Hover on images to see descriptions. Choosing the optimal epidural stimulation variables, such as the frequency, intensity, and location of the stimulation, significantly affects maximal motor functionality. This project suggests a novel technique using machine learning methods to maximize the functionality of a SCI patients after epidural stimulation. Depression and Suicide Risk. Dementia and Cognitive Impairement. Woman Living With AIDS. Context-Aware Feature Query to Improve the Prediction Performance...

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