Conferences related to Pathogens

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2018 13th IEEE Conference on Industrial Electronics and Applications (ICIEA)

Industrial Informatics, Computational Intelligence, Control and Systems, Cyber-physicalSystems, Energy and Environment, Mechatronics, Power Electronics, Signal and InformationProcessing, Network and Communication Technologies


2018 24th International Conference on Pattern Recognition (ICPR)

ICPR will be an international forum for discussions on recent advances in the fields of Pattern Recognition, Machine Learning and Computer Vision, and on applications of these technologies in various fields

  • 2016 23rd International Conference on Pattern Recognition (ICPR)

    ICPR'2016 will be an international forum for discussions on recent advances in the fields of Pattern Recognition, Machine Learning and Computer Vision, and on applications of these technologies in various fields.

  • 2014 22nd International Conference on Pattern Recognition (ICPR)

    ICPR 2014 will be an international forum for discussions on recent advances in the fields of Pattern Recognition; Machine Learning and Computer Vision; and on applications of these technologies in various fields.

  • 2012 21st International Conference on Pattern Recognition (ICPR)

    ICPR is the largest international conference which covers pattern recognition, computer vision, signal processing, and machine learning and their applications. This has been organized every two years by main sponsorship of IAPR, and has recently been with the technical sponsorship of IEEE-CS. The related research fields are also covered by many societies of IEEE including IEEE-CS, therefore the technical sponsorship of IEEE-CS will provide huge benefit to a lot of members of IEEE. Archiving into IEEE Xplore will also provide significant benefit to the all members of IEEE.

  • 2010 20th International Conference on Pattern Recognition (ICPR)

    ICPR 2010 will be an international forum for discussions on recent advances in the fields of Computer Vision; Pattern Recognition and Machine Learning; Signal, Speech, Image and Video Processing; Biometrics and Human Computer Interaction; Multimedia and Document Analysis, Processing and Retrieval; Medical Imaging and Visualization.

  • 2008 19th International Conferences on Pattern Recognition (ICPR)

    The ICPR 2008 will be an international forum for discussions on recent advances in the fields of Computer vision, Pattern recognition (theory, methods and algorithms), Image, speech and signal analysis, Multimedia and video analysis, Biometrics, Document analysis, and Bioinformatics and biomedical applications.

  • 2002 16th International Conference on Pattern Recognition


2018 40th Annual International Conference of the IEEE Engineering in Medicine and 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


2018 4th International Conference on Recent Advances in Information Technology (RAIT)

4th International Conference (RAIT-201) has been conceived with multi-disciplinary areas inIT, Computers, Electronics together with application areas of Mineral, Service, Telecom sectorsthat are strategically important for the overall economic growth of our country.

  • 2016 3rd International Conference on Recent Advances in Information Technology (RAIT)

    3rd International Conference (RAIT-2016) has been conceived with multi-disciplinary areas in IT, Computers, Electronics together with application areas of Mineral, Service, Telecom sectors that are strategically important for the overall economic growth of our country.

  • 2012 1st International Conference on Recent Advances in Information Technology (RAIT)

    Over the past few decades, we are witnessing remarkable advances and explosive growth of new technologies that are changing the world very fast. Information Technology (IT) sector is indeed playing a significant role in facing the technological challenges of the 21st century. The impact of IT on every sphere of human activities is stupendous these days. This field has been playing vital role in our economical, social and rural growth. The change in Information Technology is racing by the hour.


2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM)

The SAM Workshop is an biennial IEEE Signal Processing Society event dedicated to sensor array and multichannel signal processing. It is managed by the Sensor Array and Multichannel Signal Processing Technical Committee of the IEEE Signal Processing Society.


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Periodicals related to Pathogens

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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


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 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; ...


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Xplore Articles related to Pathogens

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Revealing Subnetwork Roles using Contextual Visualization: Comparison of Metabolic Networks

[{u'author_order': 1, u'affiliation': u'LaBRI, Univ. Bordeaux I, Bordeaux', u'full_name': u'Romain Bourqui'}, {u'author_order': 2, u'full_name': u'Fabien Jourdan'}] 2008 12th International Conference Information Visualisation, None

This article is addressing a recurrent problem in biology: mining newly built large scale networks. Our approach consists in comparing these new networks to well known ones. The visual backbone of this comparative analysis is provided by a network classification hierarchy. This method makes sense when dealing with metabolic networks since comparison could be done using pathways (clusters). Moreover each ...


Immunotherapy for HIV and malaria: A control theoretic approach with state jumps

[{u'author_order': 1, u'affiliation': u'Department of Electrical and Electronic Engineering, Imperial College London, SW7 2AZ, UK', u'full_name': u'H. Chang'}, {u'author_order': 2, u'affiliation': u'Department of Electrical and Electronic Engineering, Imperial College London, SW7 2AZ, UK', u'full_name': u'A. Astolfi'}, {u'author_order': 3, u'affiliation': u'ASRI, Department of Electrical Engineering, Seoul National University, Korea', u'full_name': u'H. Shim'}] Proceedings of the 2010 American Control Conference, None

We investigate a control method for disease dynamics, such as HIV and malaria, to boost the immune response using a model-based approach. The idea of state jump is introduced and discussed using hybrid models. To implement the control idea we suggest physically available methods for each disease case. The studies on malaria model are supported by recently reported experimental data.


Detecting outbreaks by time series analysis

[{u'author_order': 1, u'affiliation': u'Dept. of Electron., Comput. Sci. & Syst., Bologna Univ., Italy', u'full_name': u'G. Cellarosi'}, {u'author_order': 2, u'affiliation': u'Dept. of Electron., Comput. Sci. & Syst., Bologna Univ., Italy', u'full_name': u'S. Lodi'}, {u'author_order': 3, u'affiliation': u'Dept. of Electron., Comput. Sci. & Syst., Bologna Univ., Italy', u'full_name': u'C. Sartori'}] Proceedings of 15th IEEE Symposium on Computer-Based Medical Systems (CBMS 2002), None

Exceptional events in a time series are observations which can be regarded as qualitatively significant anomalies. The detection of such events is an interesting problem in several domains, in particular for the generation of alarms in clinical microbiology. We propose an approach to the detection of exceptional events based on model selection. For each mathematical form of a model, we ...


Early mastitis diagnosis through topological analysis of biosignals from low-voltage alternate current electrokinetics

[{u'author_order': 1, u'affiliation': u'Department of Electrical Engineering and Computer Science, Knoxville, TN 37996, USA', u'full_name': u'Zhifei Zhang'}, {u'author_order': 2, u'affiliation': u'Department of Electrical Engineering and Computer Science, Knoxville, TN 37996, USA', u'full_name': u'Yang Song'}, {u'author_order': 3, u'affiliation': u'Department of Electrical Engineering and Computer Science, Knoxville, TN 37996, USA', u'full_name': u'Haochen Cui'}, {u'author_order': 4, u'affiliation': u'Department of Electrical Engineering and Computer Science, Knoxville, TN 37996, USA', u'full_name': u'Jayne Wu'}, {u'author_order': 5, u'affiliation': u'Department of Mathematics, the University of Tennessee, Knoxville, 37996, USA', u'full_name': u'Fernando Schwartz'}, {u'author_order': 6, u'affiliation': u'Department of Electrical Engineering and Computer Science, Knoxville, TN 37996, USA', u'full_name': u'Hairong Qi'}] 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), None

Mastitis is the most economically important disease of dairy cows worldwide, and it constantly plagues the dairy industry. A reliable biosensing method is thus imperative to detect this disease at its early stage and accurately identify the pathogen concentration level in order to better control the disease and consequently improve the quality of milk. Recent research indicates that shorter assay ...


Weather based plant diseases forecasting using fuzzy logic

[{u'author_order': 1, u'full_name': u'Vidita Tilva'}, {u'author_order': 2, u'full_name': u'Jignesh Patel'}, {u'author_order': 3, u'full_name': u'Chetan Bhatt'}] 2013 Nirma University International Conference on Engineering (NUiCONE), None

Integrated Pest Management (IPM) is a comprehensive approach that integrates a variety of practices to minimize the loss of farm productions due to pests and pathogens with optimum use of pesticides. Early detection of pest and its control is one of the aspects of IPM. Weather based forecasting is well accepted method for this. Various meteorological data like-temperature, humidity, leaf ...


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Educational Resources on Pathogens

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IEEE-USA E-Books

  • Comparative Gene Prediction using Conditional Random Fields

    Computational gene prediction using generative models has reached a plateau, with several groups converging to a generalized hidden Markov model (GHMM) incorporating phylogenetic models of nucleotide sequence evolution. Further improvements in gene calling accuracy are likely to come through new methods that incorporate additional data, both comparative and species specific. Conditional Random Fields (CRFs), which directly model the conditional probability P(y|x) of a vector of hidden states conditioned on a set of observations, provide a unified framework for combining probabilistic and non- probabilistic information and have been shown to outperform HMMs on sequence labeling tasks in natural language processing. We describe the use of CRFs for comparative gene prediction. We implement a model that encapsulates both a phylogenetic-GHMM (our baseline comparative model) and additional non- probabilistic features. We tested our model on the genome sequence of the fungal human pathogen Cryptococcus neoformans. Our baseline comparative model displays accuracy comparable to the the best available gene prediction tool for this organism. Moreover, we show that discriminative training and the incorporation of non-probabilistic evidence significantly improve performance. Our software implementation, Conrad, is freely available with an open source license at http://www.broad.mit.edu/annotation/conrad/.



Standards related to Pathogens

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Jobs related to Pathogens

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