Conferences related to Biology computing

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2020 IEEE Frontiers in Education Conference (FIE)

The Frontiers in Education (FIE) Conference is a major international conference focusing on educational innovations and research in engineering and computing education. FIE 2019 continues a long tradition of disseminating results in engineering and computing education. It is an ideal forum for sharing ideas, learning about developments and interacting with colleagues inthese fields.


2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE


Oceans 2020 MTS/IEEE GULF COAST

To promote awareness, understanding, advancement and application of ocean engineering and marine technology. This includes all aspects of science, engineering, and technology that address research, development, and operations pertaining to all bodies of water. This includes the creation of new capabilities and technologies from concept design through prototypes, testing, and operational systems to sense, explore, understand, develop, use, and responsibly manage natural resources.

  • OCEANS '96

  • OCEANS '97

  • OCEANS '98

  • OCEANS '99

  • OCEANS 2000

  • OCEANS 2001

  • OCEANS 2002

  • OCEANS 2003

  • OCEANS 2004

  • OCEANS 2005

  • OCEANS 2006

  • OCEANS 2007

  • OCEANS 2008

    The Marine Technology Society (MTS) and the Oceanic Engineering Society (OES) of the Institute of Electrical and Electronic Engineers (IEEE) cosponsor a joint conference and exposition on ocean science, engineering, education, and policy. Held annually in the fall, it has become a focal point for the ocean and marine community to meet, learn, and exhibit products and services. The conference includes technical sessions, workshops, student poster sessions, job fairs, tutorials and a large exhibit.

  • OCEANS 2009

  • OCEANS 2010

    The Marine Technology Society and the Oceanic Engineering Scociety of the IEEE cosponsor a joint annual conference and exposition on ocean science engineering, and policy.

  • OCEANS 2011

    The Marine Technology Society and the Oceanic Engineering Scociety of the IEEE cosponsor a joint annual conference and exposition on ocean science engineering, and policy.

  • OCEANS 2012

    Ocean related technology. Tutorials and three days of technical sessions and exhibits. 8-12 parallel technical tracks.

  • OCEANS 2013

    Three days of 8-10 tracks of technical sessions (400-450 papers) and concurent exhibition (150-250 exhibitors)

  • OCEANS 2014

    The OCEANS conference covers four days. One day for tutorials and three for approx. 450 technical papers and 150-200 exhibits.

  • OCEANS 2015

    The Marine Technology Scociety and the Oceanic Engineering Society of the IEEE cosponor a joint annual conference and exposition on ocean science, engineering, and policy. The OCEANS conference covers four days. One day for tutorials and three for approx. 450 technical papers and 150-200 exhibits.

  • OCEANS 2016

    The Marine Technology Scociety and the Oceanic Engineering Society of the IEEE cosponor a joint annual conference and exposition on ocean science, engineering, and policy. The OCEANS conference covers four days. One day for tutorials and three for approx. 500 technical papers and 150 -200 exhibits.

  • OCEANS 2017 - Anchorage

    Papers on ocean technology, exhibits from ocean equipment and service suppliers, student posters and student poster competition, tutorials on ocean technology, workshops and town meetings on policy and governmental process.

  • OCEANS 2018 MTS/IEEE Charleston

    Ocean, coastal, and atmospheric science and technology advances and applications


IECON 2020 - 46th Annual Conference of the IEEE Industrial Electronics Society

IECON is focusing on industrial and manufacturing theory and applications of electronics, controls, communications, instrumentation and computational intelligence.


2020 IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.



Periodicals related to Biology computing

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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 Circuits and Systems, IEEE Transactions on

The Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems ...


Biomedical Engineering, IEEE Reviews in

The IEEE Reviews in Biomedical Engineering will review the state-of-the-art and trends in the emerging field of biomedical engineering. This includes scholarly works, ranging from historic and modern development in biomedical engineering to the life sciences and medicine enabled by technologies covered by the various IEEE societies.


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.


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; ...



Most published Xplore authors for Biology computing

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Xplore Articles related to Biology computing

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Session WA2: Biological imaging: Acquisition, analysis and modeling

2008 42nd Asilomar Conference on Signals, Systems and Computers, 2008

None


Neurocomputing: picking the human brain

IEEE Spectrum, 1988

The nature of neurocomputing is discussed. Neurocomputing is defined as the engineering discipline concerned with nonprogrammed adaptive information processing systems (neural networks) that develop associations (transformations or mappings) between objects in response to their environment. The operation of a neural network is described, and its hardware realization is considered. Some applications of neural networks are examined.<<ETX>>


Quantitative assessment of SNP discrimination for computational molecular beacons

2006 Bio Micro and Nanosystems Conference, 2006

The ability to discriminate nucleic acid sequences is necessary for a wide variety of applications: high throughput screening, distinguishing genetically modified organisms (GMOs), molecular computing, differentiating biological markers, fingerprinting a specific sensor response for complex systems, etc. Hybridization-based target recognition and discrimination is central to the operation of nucleic acid microsensor systems. Therefore developing a quantitative correlation between mishybridization events ...


Model Construction of Nonrigid Biological Objects from Images

Sixth Mexican International Conference on Computer Science (ENC'05), 2005

Being able to accurately model the deformation of biological objects is vital to the success of many multidisciplinary studies such as computer-aided surgery simulation and planning, image-based medical diagnosis, and motion- based human identification etc. Among various modeling techniques, physical model becomes increasingly popular because the physical and mathematical rigors upon which the model is established can ensure physically sound ...


A DNA Encoding Method to Determine and Sequence All Cliques in a Weighted Graph

2009 Fourth International Conference on Innovative Computing, Information and Control (ICICIC), 2009

In many aspects of advanced applied information technology, science, and bioinformatics, having theoretical concepts based on graph theory provides an important way to create or develop new hybrids, combined information, and intelligent techniques or methods. Finding the maximum weighted clique problem can be a significant issue and concept in graph theory. Meanwhile, encoding biological codes, represented as biological sequence information, ...



Educational Resources on Biology computing

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IEEE-USA E-Books

  • Session WA2: Biological imaging: Acquisition, analysis and modeling

    None

  • Neurocomputing: picking the human brain

    The nature of neurocomputing is discussed. Neurocomputing is defined as the engineering discipline concerned with nonprogrammed adaptive information processing systems (neural networks) that develop associations (transformations or mappings) between objects in response to their environment. The operation of a neural network is described, and its hardware realization is considered. Some applications of neural networks are examined.<<ETX>>

  • Quantitative assessment of SNP discrimination for computational molecular beacons

    The ability to discriminate nucleic acid sequences is necessary for a wide variety of applications: high throughput screening, distinguishing genetically modified organisms (GMOs), molecular computing, differentiating biological markers, fingerprinting a specific sensor response for complex systems, etc. Hybridization-based target recognition and discrimination is central to the operation of nucleic acid microsensor systems. Therefore developing a quantitative correlation between mishybridization events and sensor output is critical to the accurate interpretation of results. Additionally, knowledge of such correlation can be used to design intelligent sensor systems that incorporate mishybridization noise into system design. Using experimental data produced by introducing single mutations (single nucleotide polymorphisms, SNPs) in the probe sequence of computational catalytic molecular beacons (deoxyribozyme gates) [Stojanovic &amp; Stefanovic, 2003], we investigate correlations between free energy of the target-probe complex and the measured fluorescence of the deoxyribozyme gate. Experimental data for forty-five SNP- containing probe sequences are compiled and compared against the true probe sequence to determine the relationship between position, type of mutation, and the fluorescence level of the molecular beacon. The sequence set accounts for every possible SNP for a fifteen-base probe. Experiments are conducted using a 55 mul detection volume containing a modified YESi<sub>A</sub>(E6) deoxyribozyme molecular beacon (100 nM) [Stojanovic et al., 2001], TAMRA substrate (1 muM) and input sequences (2 muM). Using free energy as a first- approximation of the energetic interactions that occur during target-probe recognition, we generate empirical data for each target-probe pair using a nucleic acid hybridization thermodynamics server called HyTher (http://ozone2.chem.wayne.edu/). HyTher uses empirical fits of experimentally measured data to generate hybridization thermodynamic predictions for nucleic acid sequence pairs. Empirical data for all target-probe combinations are correlated with experimental fluorescence measurements to determine a quantitative link between target-probe hybridization free energy and molecular beacon fluorescence for each SNP-containing probe. We investigate Bayesian- based classification approaches as well as combinatorial design based methods for identifying and classifying mismatch patterns that produce similar fluorescence levels

  • Model Construction of Nonrigid Biological Objects from Images

    Being able to accurately model the deformation of biological objects is vital to the success of many multidisciplinary studies such as computer-aided surgery simulation and planning, image-based medical diagnosis, and motion- based human identification etc. Among various modeling techniques, physical model becomes increasingly popular because the physical and mathematical rigors upon which the model is established can ensure physically sound motion predictions. It has been widely recognized that material properties assigned to the physical model could have a significant impact on its prediction accuracy. In this talk we will explore a number of applications of such modeling for burn scar evaluation and breast cancer detection to facial expression analysis and biometrics.

  • A DNA Encoding Method to Determine and Sequence All Cliques in a Weighted Graph

    In many aspects of advanced applied information technology, science, and bioinformatics, having theoretical concepts based on graph theory provides an important way to create or develop new hybrids, combined information, and intelligent techniques or methods. Finding the maximum weighted clique problem can be a significant issue and concept in graph theory. Meanwhile, encoding biological codes, represented as biological sequence information, is an important process in executing biological computations. In this paper, we focus on a way of encoding biological sequences to create a new encoding method particularly designed to solve clique problems in a weighted graph.

  • The sortie generation rate model

    This paper presents a sortie generation rate (SGR) model and describes how to use it as a commander's tool. The SGR model was initially developed to generate published sortie rates, but proved to be an expedient commander's tool for planning options. Previously, developing sortie rates required three models, regional conflict model (RCM), logistics composite model (LCOM), and flyer. Each model required its own input data and they were located in different agencies of the Air Force. The RCM model is no longer supported, LCOM requires large amounts of input data, and flyer uses output of LCOM as part of its input. The SGR model requires little data and it is a one step process, which runs on a laptop computer. The SGR model uses constraints and events to capture the sortie rate process from a macro level without significantly detailed input.

  • Internetplattform Neuroinformatik. A pilot study for the OECD neuroinformatics portal

    Following the open source philosophy, neuroscientists are increasingly willing to share primary data as well as custom software with the scientific community. To facilitate this interaction, we are currently establishing a web site that links publicly available resources (like experimental data, numerical tools, computer models) and contains extensive annotation. Special emphasis is given to high quality standards of the linked databases and software tools and to integrate both users and providers in this process. The site also contains information about research groups, ongoing activities, links to reprint/preprint servers and other interesting resources. In addition, we explore web services to see where they could advance the field of neuroinformatics.

  • New biology for engineers and computer scientists [Book Review]

    None

  • Analysis of the trade-offs between manual and computer-based stereology/classification

    Estimation of volume, surface area, area, length and number in stereology is based on a manual count of the number of intersections between the feature of interest and a specific low-resolution geometrical test probe. It is usually a tedious and imprecise process, hut benefits from the user's ability to identify the feature of interest. In computer-based stereology, by contrast, a high-resolution test probe is used, generally yielding greater precision but suffering from imperfection of the automated classification. The trade-offs between manual and computer-based stereology are introduced and the conditions under which each is advantageous are defined.

  • Life lessons

    None



Standards related to Biology computing

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No standards are currently tagged "Biology computing"