ECE/CS/BioEn 6760 Modeling and Analysis of Biological Networks

ECE / CS 439 Wireless Networks University of Illinois at Urbana - Champaign

MOJ Applied Bionics and Biomechanics Theory of Glial Cells & Neurons Emulating Biological Neural Networks (BNN) for Natural Intelligence (NI) Operated Effortlessly at a Minimum Free Energy (MFE)

1Department of Biomedical Engineering, The Catholic University, USA 2Office of Naval Research, North Carolina A&T State University, USA 3RFNav Inc, Rockville MD, USA 4Trident Systems Inc, USA 5Radar Division, Minnesota University, USA 6Department of Electrical & Computer Engineering, Florida A&M University – Florida State University College of Engineering, USA 7Center for Business & Information...

مدل سازی ریسک سقوط درختان چنار خطرآفرین در فضای سبز شهری

Trees in urban areas have survived in a wide variety of conditions and constrains, whether developing in natural or manmade habitats. Due to environmental constrains and stresses, urban trees rarely achieve their biological potentials. Indeed, some of trees, in small groups, could excel in terms of age, biomass structure and dimensions in urban areas. In definition, tree hazard includes entirel...

Modeling gene regulatory networks: Classical models, optimal perturbation for identification of network

Deep understanding of molecular biology has allowed emergence of new technologies like DNA decryption.  On the other hand, advancements of molecular biology have made manipulation of genetic systems simpler than ever; this promises extraordinary progress in biological, medical and biotechnological applications.  This is not an unrealistic goal since genes which are regulated by gene regulatory ...

Modeling of Texture and Color Froth Characteristics for Evaluation of Flotation Performance in Sarcheshmeh Copper Pilot Plant, Using Image Analysis and Neural Networks

Texture and color appearance of froth is a discreet qualitative tool for evaluating the performance of flotation process. The structure of a froth developed on the flotation cell has a significant effect on the grade and recovery of copper concentrate. In this work, image analysis and neural networks have been implemented to model and control the performance of such a system. The result reveals...