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A new kind of neural-based data computing approach for illness prediction has been presented in this paper. The purpose is to suggest a successful and efficient illness prediction method for the users to get substantial success in all kinds of massive data process, such as hospital illness cases. In this paper the benefits of combining two layered feed forward neural networks trained by back propagation...
In multi-target hospital illness tracking, for data fusion, data with noise as input must be sent to fusion center to be filtered, associated, combined and made final decision as output. In this paper, an efficient fuzzy fusion approach for hospital illness tracking is proposed. The proposed approach is developed based on the fuzzy clustering means algorithm, which differs from many other fuzzy logic...
In this work, a pseudo-differential trans-impedance amplifier (TIA) was designed in a 0.18-??m CMOS technology. To make it utilized in short-distance, high-density multi-channel optical communication system, modified regulated cascade (MRGC) input configuration and active inductances were exploited to broaden the bandwidth without bringing much penalty to the power consumption and the chip area. The...
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