Demand Response and the Internet of Energy. [gview file=”http://www.wsnmagazine.com/wp-content/uploads/2015/04/Internet-of-energy.pdf”]
Author: Dr. Celestine Iwendi
Celestine Iwendi is a Sensor and Electronics Researcher at the University of Aberdeen, UK. He can be reached at celestine.iwendi@ieee.org
Big and Open Data for Smart City
Mischa Dohler a full Professor in Wireless Communications at King’s College London, Head of the Centre for Telecommunications Research, co-founder and member of the Board of Directors of the smart city pioneer Worldsensing, Fellow and Distinguished Lecturer of…
Machine Learning with Andrew Ng
Associate Professor, Stanford University; Chief Scientist, Baidu; Chairman and Co-founder, Coursera Stanford University. Andrew Ng presents Machine Learning at a glance. About this Course Machine learning is the science of getting computers to act without being explicitly programmed. In the…
Substrate Computing Bridge defects
Three Michigan State University College of Engineering researchers are developing a new technology known as substrate computing. This will allow sensing, communication and diagnostic computing, all within the substrate – the building material – of a structure, using energy harvested…
Introduction to Computer Network
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Tracking Infuences Within Dynamic Networks
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Big Data – Challenges and Opportunities
Panel discussion at the 1st UCL-Duke University Workshop on Sensing and Analysis of High-Dimensional Data (SAHD), London 2014. panelist: Thore Graepel, Microsoft Research, Cambridge, Microsoft Research panelist: Christophe Bernard, Winton Capital Management Limited panelist: Christoph Best, Google, Inc. moderator: Robert…
Large-Scale Machine Learning
Beyond stochastic gradient descent for large-scale machine learning. [gview file=”http://www.wsnmagazine.com/wp-content/uploads/2015/03/gradient-descent.pdf”]
A New Theory for Compressed Sensing
Breaking the coherence barrier – A new theory for compressed sensing [gview file=”http://www.wsnmagazine.com/wp-content/uploads/2015/03/Breaking-the-coherence-barrier-.pdf”]
CGIHT for Compressed Sensing and Matrix Completion
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