Genetics

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Genetics (from Ancient Greek γενετικός genetikos, "genitive" and that from γένεσις genesis, "origin"), a discipline of biology, is the science of genes, heredity, and variation in living organisms. (Wikipedia.org)






Conferences related to Genetics

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2018 53rd International Universities Power Engineering Conference (UPEC)

UPEC is a long-established international conference which provides a major forum for scientists, young researchers, PhD students and engineers worldwide to present, review and discuss the latest developments in Electrical Power Engineering and relevant technologies including energy storage and renewables

  • 2016 51st International Universities Power Engineering Conference (UPEC)

    UPEC is a long-established conference, which is very popular with young researchers, PhD students and engineers from the electrical power industry. The aim of the conference is to allow participants to exchange experiences and discuss the most up-to-date topics in Power Engineering. The global energy challenge, the ageing of electrical networks in industrial countries, and the extension of the grid systems in developing countries require significant research input in the area. UPEC is an ideal forum to address some of these issues, and to network and meet with talented engineers and innovators in these areas.

  • 2015 50th International Universities Power Engineering Conference (UPEC)

    The conference provides a major international focus for the presentation, discussion and exchange of information concerning new trends in Electrical Power Engineering. The conference is very popular with young researchers, PhD students and engineers from the electrical power industry. Given the major challenges now facing the electrical power industry, and the energy sector in general, this conference provides an ideal opportunity to address some of these challenges.

  • 2014 49th International Universities Power Engineering Conference (UPEC)

    Given the major challenges now facing the electrical power industry, and the energy sector in general, this conference provides an ideal opportunity to address some of these challenges. It also provides the opportunity to network and to meet the experts in these areas.

  • 2013 48th Universities' Power Engineering Conference (UPEC)

    The conference provides a major international focus for the presentation, discussion and exchange of information concerning new trends in Electrical Power Engineering. The conference is very popular with young researchers, PhD students and engineers from the electrical power industry. Given the major challenges now facing the electrical power industry, and the energy sector in general, this conference provides an ideal opportunity to address some of these challenges.

  • 2012 47th International Universities Power Engineering Conference (UPEC)

    A major international forum for the presentation, discussion and exchange of information concerning new trends in electrical power engineering. To become better informed about the latest developments in the field of power engineering.

  • 2010 45th International Universities Power Engineering Conference (UPEC)

    The global energy challenge, the ageing of electrical networks in industrial countries, and the extension of the grids in developing countries require significant research effort and the need for talented engineers and innovators is critical to the electrical energy industry. UPEC is an ideal forum to address such issues, and to network and meet experts in these areas

  • 2009 44th International Universities Power Engineering Conference (UPEC)

    UPEC has been long-established as a major annual international forum for the presentation, discussion and exchange of information concerning new trends in all areas of electric power engineering. Contributions from younger engineers and researchers are particularly encouraged at UPEC, where ideas can be aired freely and new relationships developed.

  • 2008 43rd International Universities Power Engineering Conference (UPEC)

    Its aim will be to provide a professional forum for engineers and research scientists from the universities, consultants, and in the manufacturing and supply industries opportunities to present their work and explore potential trends and recent developments, current practices in Power Engineering and related fields.

  • 2007 Universities Power Engineering Conference (UPEC)

  • 2006 International Universities Power Engineering Conference (UPEC)

  • 2004 International Universities Power Engineering Conference (UPEC)


2018 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES)

The conference will deal will all aspects of power electronics, motor drives and Power electronics applications to energy systems.


2018 IEEE PES Transmission & Distribution Conference and Exhibition - Latin America (T&D-LA)

The conference will focus on the current state of the art and lessons learned from techniques and practices developed by leading international companies and utilities.


2018 International Conference on Microwave and Millimeter Wave Technology (ICMMT)

ICMMT2018 is intended to provide a broad international forum and nice opportunity for the scientists and engineers to present their new ideas and exchange information on research.


2018 UKACC 12th International Conference on Control (CONTROL)

The scope of the conference is intended to be broad with coverage of theory and applications of control and systems engineering. Emphasis is also placed on the industrial context and attendees as well as education aspects.

  • 2016 UKACC 11th International Conference on Control (CONTROL)

    The scope of the conference is quite wide but generally covers the theory and applications of control in multiple disciplines. Some of the areas are listed in the following:Advanced Control and Informatics, Algorithms and Architectures of Control Systems, Artificial Intelligence in Control, Biomedical Engineering Systems, Control Applications in Transportation Systems, Design Methods of Control Systems, Energy Efficiency and Environmental Systems, Estimation and Filtering for Control, Fault Detection and Condition Monitoring, Image, Signal and Information Processing, Industrial Process Applications of Control, Educational Developments in Control, Logistics and Scheduling in Manufacturing, Modelling and Simulation Tools for Control, Networked Control Systems and Applications, Nonlinear Control Systems Design, Robotics and Automation, Smart Sensors and Actuators, Supply Chain Modelling and System Identification.

  • 2014 UKACC International Conference on Control (CONTROL)

    This conference covers the latest theoretical developments in advanced control and their application in manufacturing, bio-medical engineering, environmental systems and industrial processes.

  • 2012 UKACC International Conference on Control (CONTROL)

    This conference covers the latest theoretical developments in advanced control and their application in manufacturing, biomedical engineering, environmental systems and industrial processes.


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Periodicals related to Genetics

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Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Communications, IEEE Transactions on

Telephone, telegraphy, facsimile, and point-to-point television, by electromagnetic propagation, including radio; wire; aerial, underground, coaxial, and submarine cables; waveguides, communication satellites, and lasers; in marine, aeronautical, space and fixed station services; repeaters, radio relaying, signal storage, and regeneration; telecommunication error detection and correction; multiplexing and carrier techniques; communication switching systems; data communications; and communication theory. In addition to the above, ...


Computational Biology and Bioinformatics, IEEE/ACM Transactions on

Specific topics of interest include, but are not limited to, sequence analysis, comparison and alignment methods; motif, gene and signal recognition; molecular evolution; phylogenetics and phylogenomics; determination or prediction of the structure of RNA and Protein in two and three dimensions; DNA twisting and folding; gene expression and gene regulatory networks; deduction of metabolic pathways; micro-array design and analysis; proteomics; ...


Computer

Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.


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Xplore Articles related to Genetics

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Genetic optimized algorithms in wavelet thresholding de-noising

Qi Zhao; Yi Liu 2009 ISECS International Colloquium on Computing, Communication, Control, and Management, 2009

Combined with the characteristics of soft and hard thresholding de-noising methods, this paper posed an improved threshold quantifying project, added the estimated factor, used genetic algorithms to optimize the estimated factor, the fitness function is the signal to noise ratio. The improved project applied to the test signal added noise, the result show that this project compares with soft and ...


A Feature Selection Method Based on Information Gain and Genetic Algorithm

Shang Lei 2012 International Conference on Computer Science and Electronics Engineering, 2012

With the rapid development of the Computer Science and Technology, It has become a major problem for the users that how to quickly find useful or needed information. Text categorization can help people to solve this question. The feature selection method has become one of the most critical techniques in the field of the text automatic categorization. A new method ...


Solving resource-constrained project scheduling problem by genetic algorithm

Sachin U. Kadam; Narendra S. Kadam 2014 2nd International Conference on Business and Information Management (ICBIM), 2014

This paper proposes a genetic algorithm to solve resource constrained project scheduling problem, in which resources are optimally allocated to tasks. Resources are renewable. In RCPSP each activity is executing in single mode. This work employed genetic algorithm to schedule project task to minimize makespan respect to resource constraint and precedence constraint. The Schedule Generation Scheme was used to decode ...


Robust Group-Level Inference in Neuroimaging Genetic Studies

Virgile Fritsch; Benoit Da Mota; Gaël Varoquaux; Vincent Frouin; Eva Loth; Jean-Baptiste Poline; Bertrand Thirion 2013 International Workshop on Pattern Recognition in Neuroimaging, 2013

Gene-neuroimaging studies involve high-dimensional data that have a complex statistical structure and that are likely to be contaminated with outliers. Robust, outlier-resistant methods are an alternative to prior outliers removal, which is a difficult task under high-dimensional unsupervised settings. In this work, we consider robust regression and its application to neuroimaging through an example gene-neuroimaging study on a large cohort ...


Genetic function approximation in the molecular pharmacology of cancer

L. M. Shi; Yi Fan; T. G. Myers; J. N. Weinstein Neural Networks,1997., International Conference on, 1997

The National Cancer Institute's Developmental Therapeutics Program screens more than 10,000 compounds per year for their ability to inhibit growth of 60 human cancer cell lines. Using a combination of cross-validated backpropagation neural networks and multivariate statistical methods, we found that a compound's mechanism of action could be predicted with considerable accuracy solely on the basis of its pattern of ...


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Educational Resources on Genetics

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eLearning

Genetic optimized algorithms in wavelet thresholding de-noising

Qi Zhao; Yi Liu 2009 ISECS International Colloquium on Computing, Communication, Control, and Management, 2009

Combined with the characteristics of soft and hard thresholding de-noising methods, this paper posed an improved threshold quantifying project, added the estimated factor, used genetic algorithms to optimize the estimated factor, the fitness function is the signal to noise ratio. The improved project applied to the test signal added noise, the result show that this project compares with soft and ...


A Feature Selection Method Based on Information Gain and Genetic Algorithm

Shang Lei 2012 International Conference on Computer Science and Electronics Engineering, 2012

With the rapid development of the Computer Science and Technology, It has become a major problem for the users that how to quickly find useful or needed information. Text categorization can help people to solve this question. The feature selection method has become one of the most critical techniques in the field of the text automatic categorization. A new method ...


Solving resource-constrained project scheduling problem by genetic algorithm

Sachin U. Kadam; Narendra S. Kadam 2014 2nd International Conference on Business and Information Management (ICBIM), 2014

This paper proposes a genetic algorithm to solve resource constrained project scheduling problem, in which resources are optimally allocated to tasks. Resources are renewable. In RCPSP each activity is executing in single mode. This work employed genetic algorithm to schedule project task to minimize makespan respect to resource constraint and precedence constraint. The Schedule Generation Scheme was used to decode ...


Robust Group-Level Inference in Neuroimaging Genetic Studies

Virgile Fritsch; Benoit Da Mota; Gaël Varoquaux; Vincent Frouin; Eva Loth; Jean-Baptiste Poline; Bertrand Thirion 2013 International Workshop on Pattern Recognition in Neuroimaging, 2013

Gene-neuroimaging studies involve high-dimensional data that have a complex statistical structure and that are likely to be contaminated with outliers. Robust, outlier-resistant methods are an alternative to prior outliers removal, which is a difficult task under high-dimensional unsupervised settings. In this work, we consider robust regression and its application to neuroimaging through an example gene-neuroimaging study on a large cohort ...


Genetic function approximation in the molecular pharmacology of cancer

L. M. Shi; Yi Fan; T. G. Myers; J. N. Weinstein Neural Networks,1997., International Conference on, 1997

The National Cancer Institute's Developmental Therapeutics Program screens more than 10,000 compounds per year for their ability to inhibit growth of 60 human cancer cell lines. Using a combination of cross-validated backpropagation neural networks and multivariate statistical methods, we found that a compound's mechanism of action could be predicted with considerable accuracy solely on the basis of its pattern of ...


More eLearning Resources

IEEE-USA E-Books

  • Evolutionary Computation

    The simplest evolutionary algorithm can be viewed as a search procedure that generates potential solutions to a problem, tests each for suitability, and then generates new solutions. It's important to understand how this process differs from exhaustive search or blind random search. Evolutionary algorithms operate in two ways that are fundamentally different from traditional gradient methods. First, rather than executing a point-to-point search, they incorporate a population of solutions, each individual solution competing for survival. Second, instead of utilizing gradient information from the response surface being searched, they utilize random variation to explore for new solutions. Behavior of evolutionary algorithms illustrate that the algorithm designer has certain choices to make about initialization, representation, variation, and selection. The most common application of evolutionary algorithms comes in optimization. The problems addressed span numerical and combinatorial optimization, with representation and operators tailored to the specific problems.

  • Tracheal Tissue Engineering

    We provide a description of the structure and function of the mammalian trachea. This is followed by a discussion of medical conditions and current treatment modalities. We then provide specific examples of tissue engineering as it applies to fabricating the trachea.

  • Introduction to Evolutionary Algorithms

    **Describes how evolutionary algorithms (EAs) can be used to identify, model, and minimize day-to-day problems that arise for researchers in optimization and mobile networking** Mobile ad hoc networks (MANETs), vehicular networks (VANETs), sensor networks (SNs), and hybrid networks--each of these require a designer's keen sense and knowledge of evolutionary algorithms in order to help with the common issues that plague professionals involved in optimization and mobile networking. This book introduces readers to both mobile ad hoc networks and evolutionary algorithms, presenting basic concepts as well as detailed descriptions of each. It demonstrates how metaheuristics and evolutionary algorithms (EAs) can be used to help provide low-cost operations in the optimization process-- allowing designers to put some "intelligence" or sophistication into the design. It also offers efficient and accurate information on dissemination algorithms topology management, and mobility models to address challenges in the field. _Evolutionary Algorithms for Mobile Ad Hoc Networks_: * Instructs on how to identify, model, and optimize solutions to problems that arise in daily research * Presents complete and up-to-date surveys on topics like network and mobility simulators * Provides sample problems along with solutions/descriptions used to solve each, with performance comparisons * Covers current, relevant issues in mobile networks, like energy use, broadcasting performance, device mobility, and more _Evolutionary Algorithms for Mobile Ad Hoc Networks_ is an ideal book for researchers and students involved in mobile networks, optimization, advanced search techniques, and multi-objective optimization.

  • Emergence

    This chapter contains sections titled: What is Network Emergence? Emergence in the Sciences Genetic Evolution Designer Networks Permutation Network Emergence An Application of Emergence Exercises

  • Greedy Seeding and Problem‐Specific Operators for GAs Solution of Strip Packing Problems

    This chapter contains sections titled: Introduction Background Hybrid GA for the 2SPP Genetic Operators for Solving the 2SPP Initial Seeding Implementation of the Algorithms Experimental Analysis Conclusions References



Standards related to Genetics

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Jobs related to Genetics

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