142 research outputs found

    Massachusetts Department of Telecommunications and Energy 2000 Annual Report

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    The Indian Telegraph Act (1885)

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    National Telecom Policy (2012)

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    Maxi Program at IEEE EMBS Student Club of Beijing University of Posts and Telecommunications

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    This paper presents the recently launched Maxi Program at IEEE EMBS Student Club of Beijing University of Posts and Telecommunications. The program initiates a variety of seminar series covering biomedical expertise and professional communication skills, forms a cooperative partnership between students, university and industry through guest speakers events and industry tours, and sets in motion personal consultative services (PCS) to foster the individualized competence of students. This extended program could be an innovative model of self-development as an affiliated student chapter/club with IEEE EMBS

    Neural network fusion strategies for identifying breast masses

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    In this work, we introduce the perceptron average neural network fusion strategy and implemented a number of other fusion strategies to identify breast masses in mammograms as malignant or benign with both balanced and imbalanced input features. We numerically compare various fixed and trained fusion rules, i.e., the majority vote, simple average, weighted average, and perceptron average, when applying them to a binary statistical pattern recognition problem. To judge from the experimental results, the weighted average approach outperforms the other fusion strategies with balanced input features, while the perceptron average is superior and achieves the goals with lowest standard deviation with imbalanced ensembles. We concretely analyze the results of above fusion strategies, state the advantages of fusing the component networks, and provide our particular broad sense perspective about information fusion in neural networks
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