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Applications of deep neural networks to protein structure prediction
(University of Missouri--Columbia, 2018)
. In extensive experiments on multiple datasets, the proposed deep neural architectures outperformed the best existing methods and other deep neural networks significantly: The proposed DeepNRN achieved highest Q8 75.33, 72.9, 70.8 on CASP 10, 11, 12 higher than...
Algorithm design and error analysis of quantized RSSI based localization in wireless sensor networks
(University of Missouri--Columbia, 2007)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Wireless Sensor Network localization is an important aspect in sensor network applications such as tracking and monitoring. The general goal of ...