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  • 1
    Electronic Resource
    Electronic Resource
    On-line Mossbauer measurements at low temperatures of ^8^3^mKr implanted into Al
    Amsterdam : Elsevier
    Nuclear Instruments and Methods 148 (1978), S. 573-576 
    Details
    ISSN: 0029-554X
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Energy, Environment Protection, Nuclear Power Engineering , Physics
    Type of Medium: Electronic Resource
    URL: http://linkinghub.elsevier.com/retrieve/pii/0029-554X(78)91041-8
    Library Location Call Number Volume/Issue/Year Availability
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    Paper (German National Licenses)
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  • 2
    Electronic Resource
    Electronic Resource
    Search for super-heavy elements produced by secondary reactions in uranium
    Amsterdam : Elsevier
    Nuclear Physics, Section A 192 (1972), S. 517-523 
    Details
    ISSN: 0375-9474
    Keywords: Nuclear reactions
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Physics
    Type of Medium: Electronic Resource
    URL: http://linkinghub.elsevier.com/retrieve/pii/0375-9474(72)90088-7
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    Paper (German National Licenses)
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  • 3
    Electronic Resource
    Electronic Resource
    Electrical impedance scanning for classifying suspicious breast lesions: first results (2000)
    Springer
    European radiology 10 (2000), S. 1555-1561 
    Details
    ISSN: 1432-1084
    Keywords: Key words: Electrical impedance – Scanning – Breast cancer detection – New diagnostic technology
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Abstract. It has long been established that cancer cells exhibit altered local dielectric properties compared with normal cells. Consequently, different electrical conductivity and capacitance are measurable in malignant vs normal tissues. In this study we evaluated the reliability of electrical impedance scanning (EIS), a new technology, for the classification of suspicious lesions: differentiating benign from malignant, and as a primary means of detection of breast cancer. Fifty-two women with 58 sonographically and/or mammographically suspicious findings were examined using electrical impedance scanning. Two different examination modes of TransScan TS2000 (Siemens, Erlangen, Germany), the standard-resolution mode for a routine overview examination, and the targeted high-resolution mode for a local examination of the suspicious lesion were used. All patients were additionally imaged by MR mammography (MRM) and underwent core-biopsy and/or surgical treatment after the EIS examination. With respect to the histopathological findings (29 malignant and 29 benign lesions) 27 of 29 (93.1 %) malignant lesions were correctly identified using the high-resolution mode of EIS, whereas 19 of 29 (65.5 %) benign lesions were correctly identified as benign (10 of 29 benign lesions showed as false-positive findings). Negative and positive predictive values of 90.5 and 73.0 % were observed, respectively. Using the standard-resolution mode 22 of 29 malignancies were correctly detected (sensitivity 75.9 %), whereas 22 of 29 were correctly identified as benign (specificity 72.4 %). Electrical impedance scanning appears to be a promising new technology providing a relatively high sensitivity for the verification of suspicious mammographic and/or sonographic lesions especially using the high-resolution mode for local examinations. Artifacts, such as signals from superficial skin lesions, poor contact, and air bubbles, are currently a limitation.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/s003300000553
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    Paper (German National Licenses)
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  • 4
    Electronic Resource
    Electronic Resource
    Artificial neural net applications in telecommunication systems (1993)
    Springer
    Neural computing & applications 1 (1993), S. 124-146 
    Details
    ISSN: 1433-3058
    Keywords: Hopfield ; Backpropagation ; Self-organising feature maps ; Routing ; Switching fabric ; Admission control ; Mobile communication ; Interconnection networks ; ATM ; Packet radio networks ; Channel assignment ; Satellite scheduling
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Mathematics
    Notes: Abstract The artificial neural net development has had something of a renaissance in the last decade with an impressive range of application areas. From the viewpoint of telecommunication networks and systems, an increasing number of studies can be observed in recent literature dealing with proposed applications of neural nets in telecommunication environments, such as connection admission control in broadband networks, the control of high-speed interconnection networks, channel allocation in cellular mobile systems, adaptive routing, etc. These proposed applications largely use three main neural net classes: feed-forward nets with backpropagation learning, Hopfield feedback nets, and selforganising neural nets. In this paper, we first give an overview of neural net classes and their main properties, and then present a review of applications in telecommunication systems, where attention is devoted to numerical aspects such as the convergence property and learning speed of the proposed neural nets.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01414432
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    Paper (German National Licenses)
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