Conferences related to Bacterial infections

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2013 18th International Conference on Engineering of Complex Computer Systems (ICECCS)

The goal of ICECCS 2013 is to bring together industrial, academic, and government experts, from a variety of user domains and software disciplines, to help advance the state of the art. Researchers, practitioners, tool developers and users, and technology transition experts are all welcome. We are interested in work that has been incorporated into real production systems, and in theoretical work that promises to bring practical, tangible benefit.


2013 IEEE 17th International Conference on Intelligent Engineering Systems (INES)

The aim of INES conference series is to provide researchers andpractitioners from industry and academia with a platform to report on recent developments inthe area of computational intelligence.


2013 IEEE International Conference on Imaging Systems and Techniques (IST)

IST’2013 deals with the design, development, evaluation and applications of imaging systems, instrumentation, and measuring techniques, to enhance detection and image quality. Applications for aerospace, medicine and biology, molecular imaging, metrology, Ladars and Lidars, radars, homeland security, and industrial imaging, with emphasis on industrial and medical tomography, corrosion imaging, and non-destructive evaluation (NDE), will be covered. systems, instrumentation, and measuring techniques, to enhance detection and image quality.Applications for aerospace, medicine and biology, molecular imaging, metrology, ladar and lidars, radars,homeland security, and industrial imaging with emphasis on industrial tomography, corrosion imaging,and non-destructive evaluation (NDE) will be covered.

  • 2012 IEEE International Conference on Imaging Systems and Techniques (IST)

    IST 2012 deals with the design, development, evaluation and applications of imaging systems, instrumentation, and measuring techniques, to enhance detection and image quality. Applications for aerospace, medicine and biology, molecular imaging, metrology, ladars and lidars, radars, homeland security, and industrial imaging with emphasis on industrial tomography, corrosion imaging, and non-destructive evaluation (NDE) will be covered.

  • 2011 IEEE International Conference on Imaging Systems and Techniques (IST)

    IST 2011 deals with the design, development, evaluation and applications of imaging systems, instrumentation, and measuring techniques, to enhance detection and image quality. Applications for aerospace, medicine and biology, molecular imaging, metrology, ladar and lidars, radars, homeland security, and industrial imaging with emphasis on industrial tomography, corrosion imaging, and non-destructive evaluation (NDE) will be covered.

  • 2010 IEEE International Conference on Imaging Systems and Techniques (IST)

    IST2009 deals with the design, development, evaluation and applications of imaging systems, instrumentation, and measuring techniques, to enhance detection and image quality. Applications for aerospace, medicine and biology, molecular imaging, metrology, ladar and lidars, radars, homeland security, and industrial imaging with emphasis on industrial tomography, corrosion imaging, and non-destructive evaluation (NDE) will be covered.


2013 International Conference on Systems, Signals and Image Processing (IWSSIP)

The event is 20th edition in the series starting from 1994. The anniversary IWSSIP 2013 follows the successful events held in Budapest, Manchester, Poznan, Zagreb, Bratislava, Maribor, Bucharest, Prague, Chalkida, Rio de Janeiro, Sarajevo and Vienna. The workshop brings together researchers and developers from both academia and industry to report on the latest scientific and theoretical advances, to discuss and debate major issues, to demonstrate state of-the-art systems, and trace the road to the future.

  • 2012 International Conference on Systems, Signals and Image Processing (IWSSIP)

    IWSSIP is an international conference on theoretical, experimental, and applied signal processing techniques. It brings together researchers and developers from both academia and industry to report on the latest scientific and theoretical advances.

  • 2011 18th International Conference on Systems, Signals and Image Processing (IWSSIP)

    Signal Processing and Technologies; Image and Video; Speech and Audio; Multimedia Communications, Networking, Services and Applications; Wireless Communications and Techniques for Multimedia Signal Transmission; Information, Application and Network Security

  • 2010 17th International Conference on Systems, Signals and Image Processing (IWSSIP)

    IWSSIP'10 is an International Conference on theoretical, experimental and applied signal and image processing techniques and systems. It brings together researchers and developers from both academia and industry to report on the latest scientific and theoretical advances, to discuss and debate major issues and to demonstrate state-of-the-art systems.

  • 2009 16th International Conference on Systems, Signals and Image Processing (IWSSIP)

    IWSSIP'09 is an International Workshop on the theoretical, experimental and applied signal and image processing techniques and systems which brings together researchers and developers from both academia and industry to report on the latest scientific and theoretical advances, to discuss and debate major issues and to demonstrate state-of-the-art systems.


2012 17th International Conference on Engineering of Complex Computer Systems (ICECCS)

The aim of the conference is to bring together researchers, practitioners and leading experts from academia and industry, to advance the state of the art in the specification, development, validation and verification, and management of complex computer systems.


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Periodicals related to Bacterial infections

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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.


Knowledge and Data Engineering, IEEE Transactions on

Artificial intelligence techniques, including speech, voice, graphics, images, and documents; knowledge and data engineering tools and techniques; parallel and distributed processing; real-time distributed processing; system architectures, integration, and modeling; database design, modeling, and management; query design, and implementation languages; distributed database control; statistical databases; algorithms for data and knowledge management; performance evaluation of algorithms and systems; data communications aspects; system ...




Xplore Articles related to Bacterial infections

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About adaptive state knowledge extraction for septic shock mortality prediction

R. W. Brause 14th IEEE International Conference on Tools with Artificial Intelligence, 2002. (ICTAI 2002). Proceedings., 2002

The early prediction of mortality is one of the unresolved tasks in intensive care medicine. This paper models medical symptoms as observations cased by transitions between hidden Markov states. Learning the underlying state transition probabilities results in a prediction probability success of about 91%. The results are discussed and put in relation to the model used. Finally, the rationales for ...


A comparative analysis of different infection strategies of Bacterial Memetic Algorithms

Márk Farkas; Péter Földesi; János Botzheim; László T. Kóczy 2010 IEEE 14th International Conference on Intelligent Engineering Systems, 2010

Evolutionary methods and in particular Bacterial Memetic Algorithms are widely adopted means of population based metaheuristics, which have the ability to perform robust search on a discrete problem space. These methods are categorized as black-box search heuristics and tend to be quite good at finding generally good approximate solutions on certain problem domains such as the Traveling Salesman Problem. The ...


Embedding neural nets and expert systems in diagnostic microbiology laboratories

V. Ciesielski; J. Spicer IEEE Expert, 1994

Describes a project for developing a reliable computer vision system that analyzes bacterial growths in real time on inexpensive personal computers, and an expert advising system that adds treatment recommendations to laboratory reports. The system embeds a neural network and multiple expert systems in the normal workflow of a clinical microbiology laboratory. Such laboratories receive specimens from patients with suspected ...


Electrical permittivity based sensor to evaluate fresh-milk somatic cell concentration (SCC)

G. J. Grillo; M. A. Perez; J. C. Anton; F. J. Ferrero Proceedings of IEEE Sensors, 2002

Mastitis in cows is an inflammation of the mammary gland usually caused by bacterial infection of udder tissues. This disease causes considerable damages to the cattlemen because of the reduction of the quality and quantity of produced milk. An early detection and corrective action can lead to an early cure. Although the universal methods to measure mastitis levels consist in ...


Enhanced modeling of the immune system to incorporate natural killer cells and memory

A. Rundell; H. HogenEsch; R. DeCarlo American Control Conference, Proceedings of the 1995, 1995

Describes modifications to a 13th order nonlinear differential-delay model (developed by Marchuk, Petrov, Bocharov and Romanyukha) of the immune response to a viral influenza infection. These modifications include: 1) reflect recent physiological understanding of immunologic processes, 2) clarify variable definitions, 3) incorporate B and T memory cell development, and 4) add the effect of natural killer cells. The model is ...


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Educational Resources on Bacterial infections

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eLearning

About adaptive state knowledge extraction for septic shock mortality prediction

R. W. Brause 14th IEEE International Conference on Tools with Artificial Intelligence, 2002. (ICTAI 2002). Proceedings., 2002

The early prediction of mortality is one of the unresolved tasks in intensive care medicine. This paper models medical symptoms as observations cased by transitions between hidden Markov states. Learning the underlying state transition probabilities results in a prediction probability success of about 91%. The results are discussed and put in relation to the model used. Finally, the rationales for ...


A comparative analysis of different infection strategies of Bacterial Memetic Algorithms

Márk Farkas; Péter Földesi; János Botzheim; László T. Kóczy 2010 IEEE 14th International Conference on Intelligent Engineering Systems, 2010

Evolutionary methods and in particular Bacterial Memetic Algorithms are widely adopted means of population based metaheuristics, which have the ability to perform robust search on a discrete problem space. These methods are categorized as black-box search heuristics and tend to be quite good at finding generally good approximate solutions on certain problem domains such as the Traveling Salesman Problem. The ...


Embedding neural nets and expert systems in diagnostic microbiology laboratories

V. Ciesielski; J. Spicer IEEE Expert, 1994

Describes a project for developing a reliable computer vision system that analyzes bacterial growths in real time on inexpensive personal computers, and an expert advising system that adds treatment recommendations to laboratory reports. The system embeds a neural network and multiple expert systems in the normal workflow of a clinical microbiology laboratory. Such laboratories receive specimens from patients with suspected ...


Electrical permittivity based sensor to evaluate fresh-milk somatic cell concentration (SCC)

G. J. Grillo; M. A. Perez; J. C. Anton; F. J. Ferrero Proceedings of IEEE Sensors, 2002

Mastitis in cows is an inflammation of the mammary gland usually caused by bacterial infection of udder tissues. This disease causes considerable damages to the cattlemen because of the reduction of the quality and quantity of produced milk. An early detection and corrective action can lead to an early cure. Although the universal methods to measure mastitis levels consist in ...


Enhanced modeling of the immune system to incorporate natural killer cells and memory

A. Rundell; H. HogenEsch; R. DeCarlo American Control Conference, Proceedings of the 1995, 1995

Describes modifications to a 13th order nonlinear differential-delay model (developed by Marchuk, Petrov, Bocharov and Romanyukha) of the immune response to a viral influenza infection. These modifications include: 1) reflect recent physiological understanding of immunologic processes, 2) clarify variable definitions, 3) incorporate B and T memory cell development, and 4) add the effect of natural killer cells. The model is ...


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IEEE.tv Videos

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IEEE-USA E-Books

  • Protein-Related Drug Activity Comparison Using Support Vector Machines

    The effective intelligent computational model can reduce the cost of drug design significantly by producing the sublibrary of molecular combination derived from a much larger library. This survey compares the performance of several popular machine learning technique for drug activity. The machine learning techniques introduced in this chapter are used to predict activity of pyrimidines and triazines based on the structure-activity relationship of these compounds. Pyrimidines and triazines are two important inhibitors of Escherichia coli dihydrofolate reductase (DHFR). Analysis and prediction of activities of these two inhibitors is very important for finding potential treatment agents for malaria, bacterial infection, and other serious disease. This chapter focuses especially on granular kernel trees (GKTs). GKTs are designed to include previous domain knowledge and voting schemes in order to optimize the performance of the Support vector machines (SVMs) kernels and reduce the training time substantially.



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