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Epidemic models for phase transitions: application to a physical gel
(Taylor & Francis Ltd, 2017)
Carrageenan gels are characterized by reversible sol-gel and gel-sol transitions under cooling and heating processes and these transitions are approximated by generalized logistic growth curves. We express the transitions ...
Beacons for Indoor Positioning
(IEEE, 2017)
This work aims to develop a system for the tracking and control of elderly or handicapped people in an indoor environment. We have developed both a special box using an Arduino board and a mobile application on Android to ...
Fault-tolerant training of neural networks in the presence of MOS transistor mismatches
(IEEE-INST Electrical Electronics Engineers Inc, 2001)
Analog techniques are desirable for hardware implementation of neural networks due to their numerous advantages such as small size low power and high speed. However these advantages are often offset by the difficulty in ...
Weight Exchange in Distributed Learning
(IEEE, 2016)
Neural networks may allow different organisations to extract knowledge from the data they collect about a similar problem domain. Moreover learning algorithms usually benefit from being able to use more training instances. ...
Abstraction in FPGA implementation of neural networks
(World Scientific and Engineering Academy and Society, 2008)
A model for FPGA implementation of multilayer perceptron neural networks is presented. The model tries to incorporate object oriented design principles in the analysis training and design of components using hardware ...
Channel estimation for visible light communications using neural networks
(Institute of Electrical and Electronics Engineers Inc., 2016)
Visible light communications (VLC) is an emerging field in technology and research. Estimating the channel taps is a major requirement for designing reliable communication systems. Due to the nonlinear characteristics of ...
A systems software architecture for training neural fuzzy neural and genetic computational intelligent networks
(IEEE, 2006)
A systems software architecture for training distributed neural fuzzy neural and genetic networks and their relevant information models have been developed. Principles of on-line architecture building training managing and ...
Parameter quantization effects in Gaussian potential function neural networks
(World Scientific and Engineering Academy and Society, 2001)
In hardware implementations of Gaussian Potential Function Neural Networks (GPFNN) deviation from ideal network parameters is inevitable because of the techniques used for parameter storage and implementation of the functions ...
VLSI implementation of GRBF (Gaussian Radial Basis Function) networks
(IEEE, 2000)
A GRBF network is designed for VLSI implementation. Building blocks of the network consist mainly of analog circuits: op-amp multiplier multiplying DAC (digital to analog converter) floating resistor summer and exponentiator. ...
Empirical results about efforts for effective teaching to y-generation freshman students
(IEEE, 2012)
New techniques are deployed to teach the new generation of students effectively. This work tries to share our experience in a blended course for over eleven years. It has been observed that the online portion of the course ...