Conferences related to Organisms

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2014 IEEE Congress on Evolutionary Computation (CEC)

IEEE Congress on Evolutionary Computation is the largest technical event in the field of evolutionary computation. In 2014, International Joint Conference on Neural Networks will be part of the 2104 IEEE World Congress on Computational Intelligence.

  • 2013 IEEE Congress on Evolutionary Computation (CEC)

    CEC 2013 will bring together researchers and practitioners in the field of evolutionary computation and computational intelligence from around the globe. Theory, applications, algorithmic developments and all other aspects of evolutionary computation and related areas (i.e., any other bio-inspired metaheuristics) are welcome to contribute to this conference.

  • 2012 IEEE Congress on Evolutionary Computation (CEC)

    The annual IEEE CEC is one of the leading events in the field of evolutionary computation.

  • 2011 IEEE Congress on Evolutionary Computation (CEC)

    Annual Congress on Evolutionary Computation.

  • 2010 IEEE Congress on Evolutionary Computation (CEC)

  • 2009 IEEE Congress on Evolutionary Computation (CEC)

    CEC 2009 will feature a world-class conference that aims to bring together researchers and practitioners in the field of evolutionary computation and computational intelligence from all around the globe. Technical exchanges within the research community will encompass keynote speeches, special sessions, tutorials, panel discussions as well as poster presentations.


2013 ICME International Conference on Complex Medical Engineering (CME)

The objective of CME 2013 is to provide a forum for researchers, educators,engineers, and government officials involved in the general areas of biomedical engineering to disseminate their latest research results and exchange views on the future research directions of these fields.

  • 2012 ICME International Conference on Complex Medical Engineering (CME)

    The objective of CME 2012 is to provide a forum for researchers, educators,engineers, and government officials involved in the general areas of biomedical engineering to disseminate their latest research results and exchange views on the future research directions of these fields.

  • 2012 ICME International Conference on Complex Medical Engineering (CME)

    The aim of the conference is to bring together researchers, engineers and practitioners from diverse fields to stimulate future research and development of new theory, approaches, and tools in the field of Complex Medical Engineering.

  • 2011 ICME International Conference on Complex Medical Engineering - CME 2011

    The objective of CME 2011 is to provide a forum for researchers, educators, engineers, and government officials involved in the general areas of biomedical engineering to disseminate their latest research results and exchange views on the future research directions of these fields.

  • 2010 ICME International Conference on Complex Medical Engineering - CME 2010

    TBD

  • 2009 ICME International Conference on Complex Medical Engineering - CME 2009

    The aim of CME 2009 is to bring together researchers and practitioners from diverse fields to promote scientific research and industrial development in the field of complex medical engineering. The conference will consist of workshops, special sessions, tutorials and keynote presentations from renowned experts.

  • 2007 IEEE/ICME International Conference on Complex Medical Engineering - CME 2007


2013 IEEE Symposium on Artificial Life (ALife)

IEEE ALIFE 2013 brings together researchers working on the emerging areas of Artificial Life and Complex Adaptive Systems, aiming to understand and synthesize life-like systems and applying bio-inspired synthetic methods to other science/engineering disciplines, including Biology, Robotics, Social Sciences, among others.Artificial Life is the study of the simulation and synthesis of living systems. In particular, this science of generalized living and life-like systems provides engineering with billions of years of design expertise to learn from and exploit through the example of the evolution of organic life on earth. Increased understanding of the massively successful design diversity, complexity, and adaptability of life is rapidly making inroads into all areas of engineering and the Sciences of the Artificial. Numerous applications of ideas from nature and their generalizations from life-as-we-know-it to life-as-it-could-be continually find their way into engineering and science.


2012 8th International Conference on Natural Computation (ICNC)

ICNC is an international forum on intelligent systems inspired from nature, particularly neural, biological, and nonlinear systems, with applications to signal processing, communications, biomedical engineering and more.

  • 2011 Seventh International Conference on Natural Computation (ICNC)

    ICNC is an international forum on intelligent systems inspired from nature, particularly neural, biological, and nonlinear systems, with applications to signal processing, communications, biomedical engineering, and more.

  • 2010 Sixth International Conference on Natural Computation (ICNC)

    ICNC is an international forum on intelligent systems inspired from nature, particularly neural, biological, and nonlinear systems, with applications to signal processing, communications, biomedical engineering, and more.


2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE)

The annual IEEE International Conference on Bioinformatics and Bioengineering covers complementary disciplines that hold great promise for the advancement of research and development in complex medical and biological systems, agriculture, environment, public health, drug design, and so on.

  • 2011 IEEE 11th International Conference on Bioinformatics & Bioengineering (BIBE)

    The annual IEEE International Conference on Bioinformatics and Bioengineering aims at building synergy between Bioinformatics and Bioengineering, two complementary disciplines that hold great promise for the advancement of research and development in complex medical and biological systems, agriculture, environment, public health, drug design.

  • 2010 International Conference on BioInformatics and BioEngineering (BIBE)

  • 2009 9th IEEE International Conference on BioInformatics and BioEngineering - BIBE

    The annual IEEE International Conference on Bioinformatics and Bioengineering aims at building synergy between Bioinformatics and Bioengineering, two complementary disciplines that hold great promise for the advancement of research and development in complex medical and biological systems, agriculture, environment, public health, drug design. Research and development in these two areas are impacting the science and technology in fields such as medicine, food production, forensics, etc.

  • 2008 8th IEEE International Conference on BioInformatics and BioEngineering - BIBE

    The annual IEEE International Conference on Bioinformatics and Bioengineering aims at building synergy between Bioinformatics and Bioengineering, two complementary disciplines that hold great promise for the advancement of research and development in complex medical and biological systems, agriculture, environment, public health, drug design.

  • 2007 7th IEEE International Conference on BioInformatics and BioEngineering - BIBE

    Bioinformatics and Bioengineering are complementary disciplines that hold great promise for the advancement of research and development in complex medical and biological systems, agriculture, environment, public health, drug design, and so on. Research and development in these two areas are impacting the science and technology of fields such as medicine, food production, forensics, etc. by advancing fundamental concepts in molecular biology and in medicine ,by helping us understand living organisms.


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Periodicals related to Organisms

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Applied Superconductivity, IEEE Transactions on

Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission


Evolutionary Computation, IEEE Transactions on

Papers on application, design, and theory of evolutionary computation, with emphasis given to engineering systems and scientific applications. Evolutionary optimization, machine learning, intelligent systems design, image processing and machine vision, pattern recognition, evolutionary neurocomputing, evolutionary fuzzy systems, applications in biomedicine and biochemistry, robotics and control, mathematical modelling, civil, chemical, aeronautical, and industrial engineering applications.


Plasma Science, IEEE Transactions on

Plasma science and engineering, including: magnetofluid dynamics and thermionics; plasma dynamics; gaseous electronics and arc technology; controlled thermonuclear fusion; electron, ion, and plasma sources; space plasmas; high-current relativistic electron beams; laser-plasma interactions; diagnostics; plasma chemistry and colloidal and solid-state plasmas.




Xplore Articles related to Organisms

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The response of the human organism to ionospheric changes

M. Hanzelka; J. Dan; P. Fiala; P. Dohnal; Vladan Holcner 2016 Progress in Electromagnetic Research Symposium (PIERS), 2016

The impact of the environment upon living organisms constitutes a crucial problem examined by today's science. Detailed examination of the overall influence of environmental factors upon humans is performed within, for example, a large number of medical disciplines. By extension, research institutes worldwide have analyzed diverse positive and negative factors affecting the biological system of the human body; one such ...


A* fast and scalable high-throughput sequencing data error correction via oligomers

Franco Milicchio; Iain E. Buchan; Mattia C. F. Prosperi 2016 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2016

Next-generation sequencing (NGS) technologies have superseded traditional Sanger sequencing approach in many experimental settings, given their tremendous yield and affordable cost. Nowadays it is possible to sequence any microbial organism or meta-genomic sample within hours, and to obtain a whole human genome in weeks. Nonetheless, NGS technologies are error-prone. Correcting errors is a challenge due to multiple factors, including the ...


A Comparative Study of the Different Ways of Cells Illumination and Computer Processing of the Obtained Information

D. Batrakov; Y. Shckorbatov 2006 International Workshop on Laser and Fiber-Optical Networks Modeling, 2006

The possibilities of interference laser microscopy and image computer processing application to investigations of cell reactions external factors are studied. The studies were realized in human buccal epithelium cells. Te illustrations demonstrating the effectiveness of proposed approaches are presented


Evaluation of the Limiting Permissible Concentration Concept in Ocean Dumping Assessments

J. Fava; W. McCulloch; J. Gift; W. Rue OCEANS 1984, 1984

The U.S. Ocean Dumping Regulations and Criteria (40 CFR 220-229) limit the types, amount, and release rates of waste into the marine environment. Materials to be considered for ocean dumping must be assessed by a technical evaluation of their potential environmental impact. Based on bioassay results, a limiting permissible concentration (LPC) is established that shall not be exceeded beyond the ...


On Synergistic Interactions Between Evolution, Development and Layered Learning

Tuan Hao Hoang; R. I. McKay; Daryl Essam; Nguyen Xuan Hoai IEEE Transactions on Evolutionary Computation, 2011

We investigate interactions between evolution, development and lifelong layered learning in a combination we call evolutionary developmental evaluation (EDE), using a specific implementation, developmental tree- adjoining grammar guided genetic programming (GP). The approach is consistent with the process of biological evolution and development in higher animals and plants, and is justifiable from the perspective of learning theory. In experiments, the ...


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Educational Resources on Organisms

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eLearning

The response of the human organism to ionospheric changes

M. Hanzelka; J. Dan; P. Fiala; P. Dohnal; Vladan Holcner 2016 Progress in Electromagnetic Research Symposium (PIERS), 2016

The impact of the environment upon living organisms constitutes a crucial problem examined by today's science. Detailed examination of the overall influence of environmental factors upon humans is performed within, for example, a large number of medical disciplines. By extension, research institutes worldwide have analyzed diverse positive and negative factors affecting the biological system of the human body; one such ...


A* fast and scalable high-throughput sequencing data error correction via oligomers

Franco Milicchio; Iain E. Buchan; Mattia C. F. Prosperi 2016 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2016

Next-generation sequencing (NGS) technologies have superseded traditional Sanger sequencing approach in many experimental settings, given their tremendous yield and affordable cost. Nowadays it is possible to sequence any microbial organism or meta-genomic sample within hours, and to obtain a whole human genome in weeks. Nonetheless, NGS technologies are error-prone. Correcting errors is a challenge due to multiple factors, including the ...


A Comparative Study of the Different Ways of Cells Illumination and Computer Processing of the Obtained Information

D. Batrakov; Y. Shckorbatov 2006 International Workshop on Laser and Fiber-Optical Networks Modeling, 2006

The possibilities of interference laser microscopy and image computer processing application to investigations of cell reactions external factors are studied. The studies were realized in human buccal epithelium cells. Te illustrations demonstrating the effectiveness of proposed approaches are presented


Evaluation of the Limiting Permissible Concentration Concept in Ocean Dumping Assessments

J. Fava; W. McCulloch; J. Gift; W. Rue OCEANS 1984, 1984

The U.S. Ocean Dumping Regulations and Criteria (40 CFR 220-229) limit the types, amount, and release rates of waste into the marine environment. Materials to be considered for ocean dumping must be assessed by a technical evaluation of their potential environmental impact. Based on bioassay results, a limiting permissible concentration (LPC) is established that shall not be exceeded beyond the ...


On Synergistic Interactions Between Evolution, Development and Layered Learning

Tuan Hao Hoang; R. I. McKay; Daryl Essam; Nguyen Xuan Hoai IEEE Transactions on Evolutionary Computation, 2011

We investigate interactions between evolution, development and lifelong layered learning in a combination we call evolutionary developmental evaluation (EDE), using a specific implementation, developmental tree- adjoining grammar guided genetic programming (GP). The approach is consistent with the process of biological evolution and development in higher animals and plants, and is justifiable from the perspective of learning theory. In experiments, the ...


More eLearning Resources

IEEE-USA E-Books

  • Niche Construction and the Evolution of Complexity

    An individual-based model of the process of niche construction is presented, whereby organisms disturb the environment experienced by their neighbours. This disturbance in local conditions creates a niche that potentially could be filled by another species (which would then create still more niches and so on). The model is unique in allowing the complexity of the organisms--measured by the number of genes they possess in order to be well adapted to their local environment--to evolve over time, and is therefore the first model with which it is possible to study the contribution of niche construction to the evolution of organism complexity. Results of experiments demonstrate that the process of niche construction does indeed introduce an active drive for organisms with more genes. This is the first explicit example of a model which possesses an intrinsic drive for the evolution of complexity.

  • Species Abundance Adapted to the Energy Flow in Ecosystem Simulation

    The numerical models featuring energy flow between soil, plant and herbivore are examined. The goal of this work is to observe the relationship between body size and species abundance of the herbivore, resulting from adaptive behavior of population. The species in the simulations are defined by the parameter of energy flux between organisms and replication strategies. Our result shows that the individual behavior builds up the distribution of species abundance resembling that of real ecosystem under the various conditions. This means that the amount of available resources affects not only the number of organisms, but also the adaptive behavior of the population in a local ecosystem. The observed adaptation in the present simulation study therefore indicates that there are more sustainable strategies than one under a given condition. The modelling technique presented here can also be applied to more detailed ecosystem simulations.

  • A Model for Exploring Genetic Control of Artificial Amoebae

    We develop a computer simulation of several cellular processes seen in amoebae, including the production and regulation of proteins via a genome; the production, release, and destruction of diffusible chemicals; and regulated chemotaxis through a lattice environment facilitated by the interactions of proteins and diffusible chemicals. We also test this model by adapting biological situations to this model to evaluate its ability to model genetic networks and genetically regulated chemotaxis. The model will be used to simulate evolution in artificial amoebae to produce behavior seen in biological organisms such as Dictyostelium discoideum.

  • The Role of RNA Editing in Dynamic Environments

    This paper presents a computational methodology based on Genetic Algorithms with Genotype Editing (GAE) for investigating the role of RNA editing in dynamic environments. This model is based on genotype editing characteristics that are gleaned from RNA editing processes as observed in several organisms. We have previously expanded the traditional Genetic Algorithm (GA) with artificial editing mechanisms (Rocha, 1995, 1997), and studied the benefits of including straightforward Genotype Editing in GA for several machine learning problems (Huang and Rocha, 2003, 2004). Here we show that genotype editing also provides a means for artificial agents with genotype/phenotype mappings descriptions to gain greater phenotypic plasticity. We simulate agents endowed with the ability to alter the edition of their genotype according to environmental context. This ability grants agents an adaptive advantage as genotype expression can become contextually regulated. The study of this genotype edition model in changing environments has shed some light into the evolutionary implications of RNA editing. We expect that our methodology will both facilitate determining the evolutionary role of RNA editing in biology, and advance the current state of research in Evolutionary Computation and Artificial Life.

  • Information Trade-Offs and the Evolution of Sensory Layouts

    In nature, sensors evolve to capture relevant information needed for organisms of a particular species to survive and reproduce. In this paper we study how sensor layouts may evolve in different environments and under pressure of different informational constraints. To do this we evolve sensor layouts for different environments and constraints using a fitness measure with weighted terms for redundancy and novelty, using, respectively, mutual information and Crutchfield's information metric. The results show how different sensor layouts evolve depending on the structure and complexity of the environment but also how selective pressure for redundancy or novelty might affect the design.

  • Cognition: Agents With Beliefs

    In this book, Whitman Richards offers a novel and provocative proposal for understanding decision making and human behavior. Building on Valentino Braitenberg's famous "vehicles," Richards describes a collection of mental organisms that he calls "daemons" -- virtual correlates of neural modules. Daemons have favored choices and make decisions that control behaviors of the group to which they belong, with each daemon preferring a different outcome. Richards arranges these preferences in graphs, linking similar choices, which thus reinforce each other. "Anigrafs" refers to these two components -- animals, or the mental organisms (agents or daemons), and the graphs that show similarity relations. Together these two components are the basis of a new cognitive architecture. In Richards's account, a collection of daemons compete for control of the cognitive system in which they reside; the challenge is to get the daemons to agree on one of many choices. Richards explores the res lts of group decisions, emphasizing the Condorcet voting procedure for aggregating preferences. A neural mechanism is proposed. _Anigrafs_ presents a series of group decisions that incorporate simple and complex movements, as well as aspects of cognition and belief. _ Anigrafs_ concludes with a section on "metagrafs," which chart relationships between different anigraf models.

  • Nature versus Design

    Synthetic biology manipulates the stuff of life. For synthetic biologists, living matter is programmable material. In search of carbon-neutral fuels, sustainable manufacturing techniques, and innovative drugs, these researchers aim to redesign existing organisms and even construct completely novel biological entities. Some synthetic biologists see themselves as designers, inventing new products and applications. But if biology is viewed as a malleable, engineerable, designable medium, what is the role of design and how will its values apply?In this book, synthetic biologists, artists, designers, and social scientists investigate synthetic biology and design. After chapters that introduce the science and set the terms of the discussion, the book follows six boundary-crossing collaborations between artists and designers and synthetic biologists from around the world, helping us understand what it might mean to 'design nature.' These collaborations have resulted in biological computers that calculate form; speculative packaging that builds its own contents; algae that feeds on circuit boards; and a sampling of human cheeses. They raise intriguing questions about the scientific process, the delegation of creativity, our relationship to designed matter, and, the importance of critical engagement. Should these projects be considered art, design, synthetic biology, or something else altogether?Synthetic biology is driven by its potential; some of these projects are fictions, beyond the current capabilities of the technology. Yet even as fictions, they help illuminate, question, and even shape the future of the field.

  • The Architecture of Complexity: Hierarchic Systems

    This chapter contains sections titled: Hierarchic Systems, Social Systems, Biological and Physical Systems, Symbolic Systems, The Evolution of Complex Systems, Biological Evolution, Evolution of Multi-Cellular Organisms, Problem Solving as Natural Selection, The Sources of Selectivity, On Empires and Empire Building, Conclusion: The Evolutionary Explanation of Hierarchy, Nearly Decomposable Systems, Near Decomposability of Social Systems, Physicochemical Systems, Some Observations on Hierarchic Span, Summary: Near Decomposability, Biological Evolution Revisited, The Description of Complexity, Near Decomposability and Comprehensibility, Simple Descriptions of Complex Systems, State Descriptions and Process Descriptions, The Description of Complexity in Self-Reproducing Systems, Ontogeny Recapitulates Phylogeny, Summary: The Description of Complexity, Conclusion

  • Human Simulation of Adaptive Behavior: Interactive studies of pursuit, evasion, courtship, fighting, and play

    To understand more about how animate motion is generated and perceived, we need quantitative analyses of motion trajectories from organisms interacting in various important adaptive tasks. Such data is difficult to obtain for most animals, but one species provides a ready source. We have developed software that allows human subjects to generate such motion data by interacting across a computer network in on-screen pursuit and evasion, fighting, courtship, and play. Each subject uses a mouse to control a "bug" that moves in a 2-D environment with another bug controlled by a second remote subject. We have visualized and analyzed the resulting motion data for each task in several ways: 3-D space-time plots of the trajectories themselves, scatterplots of one bug's positions relative to the other, and statistical measures of trajectory parameters including velocity, vorticity, and energy. All of these methods partly distinguish between the different motion categories. We have also gathered naive subjects' categorizations of these trajectories to explore further the information that makes them more or less distinguishable. Having human subjects perform these kinds of scenarios can lead to better techniques for analyzing, comparing, and designing the motion capacities of simulated agents.

  • Sympatric Speciation from Interaction-induced Phenotype Differentiation

    A novel viewpoint for evolution is presented, by taking seriously into account the relationship between genotype and phenotype. First, as a consequence of dynamical systems theory, phenotypes of organisms can be differentiated into distinct types through the interaction, even though they have identical genotypes. Then, with the mutation in genotype, it is shown that the genotype also differentiates into discrete types, while maintaining the 'symbiotic' relationship between the types. This process is robust against, sexual recombination, because offspring with intermediate genotypes are less fit than their parents. Accordingly, a plausible scenario for sympatric speciation is presented. Relevance of our scenario to the historical evolution as well as to artificial evolution is discussed



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