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Recurrent neural networks: Error surface analysis and improved training
(2014-07)
Recurrent neural networks (RNNs) have powerful computational abilities and could be used in a variety of applications; however, training these networks is still a difficult problem. One of the reasons that makes RNN training, ...
Robot skill learning through human demonstration and interaction
(2015-05)
Nowadays robots are increasingly involved in more complex and less structured tasks. Therefore, it is highly desirable to develop new approaches to fast robot skill acquisition. This research is aimed to develop an overall ...
Studies of atmospheric effects on free-space THz pulse propagation and applications
(2014-12)
Within THz frequency range, free-space propagated EM wave and the related applications have attracted a lot of attention, due to promising solutions for new types of remote sensing, wireless communications and security ...
700mV low power low noise implantable neural recording system design
(2014-12)
This dissertation presents the work for design and implementation of a low power, low noise neural recording system consisting of Bandpass Amplifier and Pipelined Analog to Digital Converter (ADC) for recording neural ...
Vision-based control of multi-agent systems
(2006-12)
Scope and Methodology of Study: Creating systems with multiple autonomous vehicles places severe demands on the design of decision-making supervisors, cooperative control schemes, and communication strategies. In last ...