BubbleSense:Wireless Sensor Network Based Intelligent Building Monitoring Cheng Li1, Forrest Meggers3, Mo Li1, Jithendrian Sundaravaradan2 Fei Xue2, HockBeng Lim2, Arno Schlueter4 1

Source URL: 2013.ict4s.org

Curriculum Vitae Fei Sha Department of Computer Science University of Southern California 941 Bloomwalk Los Angeles, CA 90089

Source URL: web.cs.ucla.edu

Information Extraction from Wikipedia: Moving Down the Long Tail Fei Wu, Raphael Hoffmann, Daniel S. Weld Computer Science & Engineering Department University of Washington, Seattle, WA, USA

Source URL: raphaelhoffmann.com

Characterization / Analytical Equipment at UCD • FEI Quanta 3D FEG scanning electron microscope (SEM) providing 1.1nm resolution and supporting multiple analytical techniques (STEM, EDS, WDS, EBSD, CL), and focussed i

Source URL: www.icomp.ie

Designing Better Strategies against Human Adversaries in Network Security Games (Extended Abstract) Rong Yang, Fei Fang, Albert Xin Jiang, Karthik Rajagopal∗ , Milind Tambe, Rajiv Maheswaran University of Southern Cali

Source URL: teamcore.usc.edu

LETTERS PUBLISHED ONLINE: 23 SEPTEMBER 2012 | DOI: NNANOValley–spin blockade and spin resonance in carbon nanotubes Fei Pei, Edward A. Laird, Gary A. Steele and Leo P. Kouwenhoven*

Source URL: kouwenhovenlab.tudelft.nl

• Physics
• Condensed matter physics
• Quantum mechanics
• Mesoscopic physics
• Nanoelectronics
• Emerging technologies
• Quantum electronics
• Spintronics
• Coulomb blockade
• Carbon nanotube quantum dot
• Quantum dot
• Carbon nanotube

SavareseFei-Fei_ICCV2007_camera_ready.dvi

Source URL: www.vision.caltech.edu

Unsupervised  Learning  of  Disease   Progression  Models   Xiang  Wang  (IBM  Research)   David  Sontag  (NYU)   Fei  Wang  (IBM  Research)  

Source URL: cs.nyu.edu

PMXStan: an R package to facilitate Bayesian PKPD modeling with Stan Yuan Xiong, David A James, Fei He, Wenping Wang Novartis Pharmaceuticals Corporation, East Hanover, New Jersey, USA Introduction Flow chart of model s

Source URL: andrewgelman.com

Unsupervised Learning of Disease Progression Models Xiang Wang David Sontag Fei Wang

Source URL: cs.nyu.edu