Radu Dogaru

发表

Optimization of Convolutional Neural Networks for Face Recognition Problems Aimed to Resources Constrained Platforms

Iulian Felca, Radu Dogaru, R. Dogaru, 2019, 2019 6th International Symposium on Electrical and Electronics Engineering (ISEEE).

Pyramidal cells: a novel class of adaptive coupling cells and their applications for cellular neural networks

Leon O. Chua, Radu Dogaru, K. R. Crounse, 1998 .

An efficient finite precision RBF-M neural network architecture using support vectors

Radu Dogaru, Ioana Dogaru, 2010, 10th Symposium on Neural Network Applications in Electrical Engineering.

Speeding-up image processing in reaction-diffusion cellular neural networks using CUDA-enabled GPU platforms

Radu Dogaru, George Valentin Stoica, Elena Cristina Stoica, 2014, Proceedings of the 2014 6th International Conference on Electronics, Computers and Artificial Intelligence (ECAI).

Fast Training of Light Binary Convolutional Neural Networks using Chainer and Cupy

Radu Dogaru, Ioana Dogaru, R. Dogaru, 2020, 2020 12th International Conference on Electronics, Computers and Artificial Intelligence (ECAI).

Perceptrons revisited: the addition of a non-monotone recursion greatly enhances their representation and classification properties

Radu Dogaru, Manfred Glesner, Marinel Alangiu, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Exploiting piecewise linear features: multinested and simplicial cellular neural/nonlinear networks

Leon O. Chua, Radu Dogaru, Pedro Julián, 2003, Proceedings of the 2003 International Symposium on Circuits and Systems, 2003. ISCAS '03..

FPGA implementation of chaotic cellular automaton with binary synchronization property

Radu Dogaru, Ioana Dogaru, Cristian Damian, 2010, 2010 8th International Conference on Communications.

Systematic Design for Emergence in Cellular Nonlinear Networks: With Applications in Natural Computing and Signal Processing

Radu Dogaru, 2008, Studies in Computational Intelligence.

BCONV - ELM: Binary Weights Convolutional Neural Network Simulator based on Keras/Tensorflow, for Low Complexity Implementations

Radu Dogaru, Ioana Dogaru, R. Dogaru, 2019, 2019 6th International Symposium on Electrical and Electronics Engineering (ISEEE).

Novel Applications of Complexity Inspired RDT Transform for Low Complexity Embedded Speech Recognition in Automotive Environments

Radu Dogaru, Ioana Dogaru, Mihai Bucurica, 2017, 2017 21st International Conference on Control Systems and Computer Science (CSCS).

Efficient realizations of a sound propagation processor as a cellular nonlinear network

Radu Dogaru, Ioana Dogaru, 2011, ISSCS 2011 - International Symposium on Signals, Circuits and Systems.

Distributed Training of Universal Multi-Nested Neurons

Radu Dogaru, Felicia Ionescu, Doina Profeta, 2002 .

JLCNN: An object-oriented Java package for low complexity neural networks

Radu Dogaru, Ioana Dogaru, 2013, 2013 4th International Symposium on Electrical and Electronics Engineering (ISEEE).

Robust oscillations and bifurcations in cellular neural networks

Radu Dogaru, A. T. Murgan, Daniel Ioan, 1994, Proceedings of the Third IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94).

A comparison between Extreme Learning Machine and Fast Support Vector Classifier

Radu Dogaru, Mihai Bucurica, 2015, 2015 7th International Conference on Electronics, Computers and Artificial Intelligence (ECAI).

An area-efficient FPGA realisation of a codebook-based image compression method

Hui Shao, Radu Dogaru, Manfred Glesner, 2008, 2008 International Conference on Field-Programmable Technology.

Fast Selection of Cellular Automata Genes Based on Uncertainty Profiles of Cells

Radu Dogaru, Hyongsuk Kim, Shi Wang, 2008, GEM.

Complexity evaluation of implementing the Support Vector Machine algorithm on mobile computing platforms

Radu Dogaru, Daniel-Mihai Armanda, Alin-Gabriel Cococi, 2017, 2017 5th International Symposium on Electrical and Electronics Engineering (ISEEE).

Improving Light-weight Convolutional Neural Networks for Face Recognition Targeting Resource Constrained Platforms

Radu Dogaru, Iulian-Ionut Felea, R. Dogaru, 2020, ESANN.

Chaotic Scan: A Low Complexity Video Transmission System for Efficiently Sending Relevant Image Features

Radu Dogaru, Hyongsuk Kim, Ioana Dogaru, 2010, IEEE Transactions on Circuits and Systems for Video Technology.

Logo localization and recognition in natural images using homographic class graphs

Radu Dogaru, Corneliu Florea, Laura Florea, 2015, Machine Vision and Applications.

Emergence in Discrete-Time Systems: Generalized Cellular Automata

Radu Dogaru, R. Dogaru, 2003 .

High density VLSI implementation of neural networks and fuzzy systems

Radu Dogaru, A. T. Murgan, 1995, 1995 International Semiconductor Conference. CAS '95 Proceedings.

A piecewise-linear simplicial coupling cell for CNN gray-level image processing

Leon O. Chua, Radu Dogaru, Pedro Julián, 2001, ISCAS 2001. The 2001 IEEE International Symposium on Circuits and Systems (Cat. No.01CH37196).

Feature Extraction from the Contour of Skin Lesions Using Box Counting Principle

Radu Dogaru, Ioana Dumitrache, Alina-Elena Sultana, 2015, 2015 20th International Conference on Control Systems and Computer Science.

A CMOS universal neuron circuit, static and dynamic SPICE simulations

Radu Dogaru, Manfred Glesner, Cristian Chitu, 2003, Signals, Circuits and Systems, 2003. SCS 2003. International Symposium on.

Biometric authentication based on perceptual resonance between CNN emergent patterns and humans

Radu Dogaru, Ioana Dogaru, 2002, Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications.

A Nonlinear Dynamics Perspective of Wolfram's New Kind of Science Part I: Threshold of Complexity

Leon O. Chua, Radu Dogaru, Sook Yoon, 2002, Int. J. Bifurc. Chaos.

Shape object classification using echoes inside a virtual environment application

Radu Dogaru, Mihai Bucurica, 2015, 2015 7th International Conference on Electronics, Computers and Artificial Intelligence (ECAI).

On a hardware architecture for the evolution of cellular automata functionality

Radu Dogaru, Peter Zipf, Manfred Glesner, 2005, ISSCS 2005.

FPGA implementation and evaluation of two cryptographically secure hybrid cellular automata

Radu Dogaru, Ioana Dogaru, 2014, 2014 10th International Conference on Communications (COMM).

A hardware-in-the-loop system to evaluate the performance of small-world cellular automata

Radu Dogaru, Manfred Glesner, Clemens Schlachta, 2005, International Conference on Field Programmable Logic and Applications, 2005..

A search algorithm for the design of multinested cellular neural networks

Leon O. Chua, Radu Dogaru, Martin Haenggi, 2002, 2002 IEEE International Symposium on Circuits and Systems. Proceedings (Cat. No.02CH37353).

A compact solution for voice compression based on cellular neural networks

Radu Dogaru, Tudor Murgan, Manfred Glesner, 2003 .

An exhaustive analysis of emergent behaviors in recurrent cellular computing systems with outer-totalistic cells

Radu Dogaru, Manfred Glesner, A. Iftime, 2003, 2003 International Semiconductor Conference. CAS 2003 Proceedings (IEEE Cat. No.03TH8676).

A modified RBF neural network for efficient current-mode VLSI implementation

Radu Dogaru, Manfred Glesner, A. T. Murgan, 1996, Proceedings of Fifth International Conference on Microelectronics for Neural Networks.

A smart sensor architecture based on emergent computation in an array of outer-totalistic cells

Radu Dogaru, Manfred Glesner, Ioana Dogaru, 2005, SPIE Microtechnologies.

Multiple instance-based object retrieval in video surveillance: Dataset and evaluation

Radu Dogaru, Bogdan Ionescu, Ionut Mironica, 2014, 2014 IEEE 10th International Conference on Intelligent Computer Communication and Processing (ICCP).

Emergence in Continuous-Time Systems: Reaction-Diffusion Cellular Neural Networks

Radu Dogaru, 2003 .

Binary Chaos Synchronization in Elementary Cellular Automata

Radu Dogaru, Hyongsuk Kim, Ioana Dogaru, 2009, Int. J. Bifurc. Chaos.

Unconventional Applications: Biometric Authentication

Radu Dogaru, 2003 .

An efficient sound propagation software simulator based on cellular automata

Radu Dogaru, Ioana Dogaru, 2010, 2010 3rd International Symposium on Electrical and Electronics Engineering (ISEEE).

Compact image compression using simplicial and ART neural systems with mixed signal implementations

Radu Dogaru, Manfred Glesner, Ioana Dogaru, 2003, Proceedings of the 2003 International Symposium on Circuits and Systems, 2003. ISCAS '03..

Comparative Study of Extreme Learning Machine using Various Computing Platforms

Radu Dogaru, Ioana Dogaru, Andrei Nour, 2019, 2019 6th International Symposium on Electrical and Electronics Engineering (ISEEE).

Mutations of the "Game of Life": a generalized Cellular Automata Perspective of Complex Adaptive Systems

Leon O. Chua, Radu Dogaru, L. Chua, 2000, Int. J. Bifurc. Chaos.

The simplicial neural cell and its mixed-signal circuit implementation: an efficient neural-network architecture for intelligent signal processing in portable multimedia applications

Leon O. Chua, Radu Dogaru, Manfred Glesner, 2002, IEEE Trans. Neural Networks.

Natural Computing Paradigms and Emergent Computation

Radu Dogaru, R. Dogaru, 2008 .

On the RTD implementation of simplicial cellular nonlinear networks

Leon O. Chua, Radu Dogaru, Pedro Julian, 2002, Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications.

A design for emergence method applied to recurrent cellular computing systems with multi-nested cells

Radu Dogaru, Manfred Glesner, T. Ionescu, 2003, 2003 International Semiconductor Conference. CAS 2003 Proceedings (IEEE Cat. No.03TH8676).

Designing low complexity computational intelligence modules in FPGA using high level synthesis tools

Radu Dogaru, Ioana Dogaru, 2017, 2017 5th International Symposium on Electrical and Electronics Engineering (ISEEE).

A super fast vector support classifier using novelty detection and no synaptic tuning

Radu Dogaru, Ioana Dogaru, 2016, 2016 International Conference on Communications (COMM).

Optimized Super Fast Support Vector Classifiers Using Python and Acceleration of RBF Computations

Radu Dogaru, Ioana Dogaru, 2018, 2018 International Conference on Communications (COMM).

A comparison of several classifiers for eye detection on emotion expressing faces

Radu Dogaru, Laura Florea, Raluca Boia, 2013, 2013 4th International Symposium on Electrical and Electronics Engineering (ISEEE).

Algebraic normal form for rapid prototyping of elementary hybrid cellular automata in FPGA

Radu Dogaru, Ioana Dogaru, 2010, 2010 3rd International Symposium on Electrical and Electronics Engineering (ISEEE).

Computation with chaos in discrete-time neuro-fuzzy networks

Radu Dogaru, Manfred Glesner, A. T. Murgan, 1996 .

Improving computational efficiency for implementing a sound propagation simulation environment using Python and GPU

Radu Dogaru, Ioana Dogaru, Mihai Bucurica, 2016, 2016 8th International Conference on Electronics, Computers and Artificial Intelligence (ECAI).

Getting order in chaotic cellular neural networks by self-organization with Hebbian adaptation rules

Radu Dogaru, Manfred Glesner, A. T. Murgan, 1996, 1996 Fourth IEEE International Workshop on Cellular Neural Networks and their Applications Proceedings (CNNA-96).

Fast Support Vector Classifier for automated content-based search in video surveillance

Radu Dogaru, Bogdan Ionescu, Ionut Mironica, 2015, 2015 International Symposium on Signals, Circuits and Systems (ISSCS).

Optimized Extreme Learning Machine for Big Data Applications Using Python

Radu Dogaru, Ioana Dogaru, 2018, 2018 International Conference on Communications (COMM).

Using Python and Julia for Efficient Implementation of Natural Computing and Complexity Related Algorithms

Radu Dogaru, Ioana Dogaru, R. Dogaru, 2015, 2015 20th International Conference on Control Systems and Computer Science.

A Versatile Cellular Neural Circuit Based on a Multi-nested Approach: Functional Capabilities and Applications

Radu Dogaru, Manfred Glesner, Cristian Chitu, 2003, VLSI-SOC.

A Convenient Method for Learning to Classify Biomedical and Other Complex Signals based on Neuronal Boolean Complexity

Radu Dogaru, Ioana Dogaru, R. Dogaru, 2019, 2019 11th International Symposium on Advanced Topics in Electrical Engineering (ATEE).

Applications of Emergent Computation in Reaction-Diffusion CNNs for Image Processing

Radu Dogaru, 2013, 2013 19th International Conference on Control Systems and Computer Science.

Fast signal recognition and detection using ART1 neural networks and nonlinear preprocessing units based on time delay embeddings

Cristina Comaniciu, Radu Dogaru, A. T. Murgan, 1996, ESANN.

A comparison of Extreme Learning Machine and Support Vector Machine classifiers

Radu Dogaru, Ioana Dogaru, Mihai Bucurica, 2015, 2015 IEEE International Conference on Intelligent Computer Communication and Processing (ICCP).

Fast support vector classifier applied to microarray data

Radu Dogaru, Camelia Moldovan, R. Dogaru, 2014, Proceedings of the 2014 6th International Conference on Electronics, Computers and Artificial Intelligence (ECAI).

Cellular Nonlinear Networks: State of the Art and Applications

Radu Dogaru, 2008 .

A VLSI friendly image compression algorithm based on fuzzy-ART neural network

Radu Dogaru, Manfred Glesner, A. T. Murgan, 1996 .

A low complexity solution for epilepsy detection using an improved version of the reaction-diffusion transform

Radu Dogaru, Ioana Dogaru, 2017, 2017 5th International Symposium on Electrical and Electronics Engineering (ISEEE).

A comparison between various classification methods for image classification stage in CBIR

Radu Dogaru, Ionut Mironica, 2011, ISSCS 2011 - International Symposium on Signals, Circuits and Systems.

Automatic detection of skin melanoma from images using natural computing approaches

Radu Dogaru, Ioana Dumitrache, Alina Elena Sultana, 2014, 2014 10th International Conference on Communications (COMM).

Binary Synchronization of Complex Dynamics in Cellular Automata and its Applications in Compressed Sensing and Cryptography

Radu Dogaru, Ioana Dogaru, 2013, Selected Topics in Nonlinear Dynamics and Theoretical Electrical Engineering.

A Low Cost High Performance Computing Platform for Cellular Nonlinear Networks Using Python for CUDA

Radu Dogaru, Ioana Dogaru, 2015, 2015 20th International Conference on Control Systems and Computer Science.

A low complexity method based on reaction-diffusion transform for ultrasound echo-based shape object classification

Radu Dogaru, Ioana Dogaru, Mihai Bucurica, 2017, 2017 5th International Symposium on Electrical and Electronics Engineering (ISEEE).

Cellular Automata for Efficient Image and Video Compression

Radu Dogaru, Ioana Dogaru, 2014 .

Simplicial RTD-Based Cellular Nonlinear Networks

Radu Dogaru, Pedro Julian, Makoto Itoh, 2003 .

Binary synchronization in cellular automata for building compact CDMA systems

Radu Dogaru, Hyongsuk Kim, Ioana Dogaru, 2009, 2009 International Symposium on Signals, Circuits and Systems.

An extended class of synaptic operators with application for efficient VLSI implementation of cellular neural networks

Leon O. Chua, Radu Dogaru, K. R. Crounse, 1998 .

Cellular and Natural Computing Models and Software Simulation

Radu Dogaru, R. Dogaru, 2008 .

Applications of Emergent Phenomena

Radu Dogaru, 2008 .

Reaction-diffusion cellular nonlinear networks for feature enhancement in dermatoscopic images

Radu Dogaru, Alina Sultana, Ioana Dumitrache, 2013, 2013 4th International Symposium on Electrical and Electronics Engineering (ISEEE).

Cellular Paradigms: Theory and Simulation

Radu Dogaru, R. Dogaru, 2003 .

Universality and Emergent Computation in Cellular Neural Networks (World Scientific Series on Nonlinear Science, Series a, 43)

Radu Dogaru, R. Dogaru, 2003 .

An efficient local receptive field feature extractor for handwriting recognition

Radu Dogaru, Ioana Dogaru, 2016, 2016 International Conference on Communications (COMM).

Complex broadband signals generated in chains of discrete-time chaotic networks

Radu Dogaru, 1996 .

Pneumonia Detection on Chest X-Ray Images using Convolutional Neural Networks Designed for Resource Constrained Environments

Radu Dogaru, Alin Cococi, Iulian Felea, 2020, 2020 International Conference on e-Health and Bioengineering (EHB).

Compact Isolated Speech Recognition on Raspberry-Pi based on Reaction Diffusion Transform

Radu Dogaru, Ioana Dogaru, Daniel-Cristian Stan, 2019, 2019 6th International Symposium on Electrical and Electronics Engineering (ISEEE).

Trade-Offs in Standard and Universal CNN Cells

Leon O. Chua, Radu Dogaru, Martin Hänggi, 2002 .

A low complexity classifier solution for mobile applications using SFSVC algorithm

Radu Dogaru, Ioana Dogaru, Daniel-Mihai Armanda, 2017, 2017 5th International Symposium on Electrical and Electronics Engineering (ISEEE).

A fast and compact classifier based on sorting in an iteratively expanded input space

Radu Dogaru, Manfred Glesner, 2008 .

A comparative study of several 2D cellular automata implementations in FPGA

Radu Dogaru, Ioana Dogaru, 2014, 2014 International Symposium on Fundamentals of Electrical Engineering (ISFEE).

Optimization of GPU and CPU acceleration for neural networks layers implemented in python

Radu Dogaru, Ioana Dogaru, 2017, 2017 5th International Symposium on Electrical and Electronics Engineering (ISEEE).

A benchmark study regarding Extreme Learning Machine, modified versions of Naïve Bayes Classifier and Fast Support Vector Classifier

Radu Dogaru, Marinel Enache, R. Dogaru, 2015, 2015 E-Health and Bioengineering Conference (EHB).

A compact and universal cellular neural network cell based on resonant tunneling diodes: circuit, model, and functional capabilities

Leon O. Chua, Radu Dogaru, M. Hanggi, 2000, Proceedings of the 2000 6th IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA 2000) (Cat. No.00TH8509).

A fast and compact classifier based on sorting in an iteratively expanded input space

Radu Dogaru, Manfred Glesner, 2008, Int. J. Intell. Syst..

HCA101: A chaotic map based on cellular automata with binary synchronization properties

Radu Dogaru, R. Dogaru, 2010, 2010 8th International Conference on Communications.

AN EFFICIENT PRNG FOR STREAM CIPHERS BASED ON HYBRID CELLULAR AUTOMATA WITH NONLINEAR FEEDBACK

Radu Dogaru, Ioana Dogaru, 2015 .

Efficient and cryptographically secure pseudorandom number generators based on chains of hybrid cellular automata maps

Radu Dogaru, Ioana Dogaru, 2014, 2014 10th International Conference on Communications (COMM).

A robust and efficient universal CNN cell circuit using simplicial neuro-fuzzy inferences for fast image processing

Leon O. Chua, Radu Dogaru, Pedro Julián, 2001, ISCAS 2001. The 2001 IEEE International Symposium on Circuits and Systems (Cat. No.01CH37196).

A Python Framework for Fast Modelling and Simulation of Cellular Nonlinear Networks and other Finite-difference Time-domain Systems

Radu Dogaru, Ioana Dogaru, 2021, 2021 23rd International Conference on Control Systems and Computer Science (CSCS).

NL-CNN: A Resources-Constrained Deep Learning Model based on Nonlinear Convolution

Radu Dogaru, Ioana Dogaru, R. Dogaru, 2021, 2021 12th International Symposium on Advanced Topics in Electrical Engineering (ATEE).

Edge of Chaos and Local Activity Domain of the Gierer–Meinhardt CNN

Leon O. Chua, Radu Dogaru, L. Chua, 1998 .

CNN GENES FOR ONE-DIMENSIONAL CELLULAR AUTOMATA: A MULTI-NESTED PIECEWISE-LINEAR APPROACH

Leon O. Chua, Radu Dogaru, 1998 .

A piecewise-linear simplicial coupling cell for CNN gray-level image processing

Leon O. Chua, Radu Dogaru, Pedro Julian, 2002 .

EMERGENCE OF UNICELLULAR ORGANISMS FROM A SIMPLE GENERALIZED CELLULAR AUTOMATA

Leon O. Chua, Radu Dogaru, 1999 .

UNIVERSAL CNN CELLS

Leon O. Chua, Radu Dogaru, 1999 .

A modified Naïve Bayes classifier for efficient implementations in embedded systems

Radu Dogaru, 2011, ISSCS 2011 - International Symposium on Signals, Circuits and Systems.

A Compact and Universal RTD-Based CNN Cell: Circuit, Piecewise-Linear Model, and Functional Capabilities

Leon O. Chua, Radu Dogaru, Martin Hanggi, 2017 .

APPLICATIONS OF NATURAL COMPUTING IN CRYPTOLOGY: NLFSR BASED ON HYBRID CELLULAR AUTOMATA WITH 5-CELL NEIGHBORHOOD

Radu Dogaru, Ioana Dogaru, 2013 .

Optimized Extreme Learning Machine for Big Data Applications Using Python

Radu Dogaru, Ioana Dogaru, 2018, 2018 International Conference on Communications (COMM).

Edge of Chaos and Local Activity Domain of the Brusselator CNN

Leon O. Chua, Radu Dogaru, 1998 .

The comparative synapse: a multiplication free approach to neuro-fuzzy classifiers

Leon O. Chua, Radu Dogaru, L. Chua, 1999 .

A low complexity image sensing method using pseudo-random scan and recursive reconstruction with radial basis functions

Radu Dogaru, 2013, 2013 4th International Symposium on Electrical and Electronics Engineering (ISEEE).