ABSTRACT The growing demand for biopharmaceutical products reflects their effectiveness in medical treatments. However, developing new biopharmaceuticals remains a major bottleneck, often taking up to a decade before market approval. Machine learning (ML) models have the potential to accelerate this process, but their success depends on access to large
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Decode‐and‐forward with partial relay selection
International Journal of Communication Systems, 2010AbstractExact expressions for outage probability and symbol error rate are presented for a decode‐and‐forward cooperative network with partial relay selection. An independent but not identically distributed Nakagami‐m fading environment is considered. Numerical and simulated results show the validity of the analytical results.
Xianyi Rui
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Decode-and-forward cooperation as the distributed encoding and decoding
2010 7th International Symposium on Wireless Communication Systems, 2010The decode-and-forward relaying is studied as two problems of the distributed encoding and decoding. Specifically, in the first problem, the source and the relay employ the same channel encoding, and the objective is to find how to distribute the decoding complexity between the relay and the destination.
Saif E. A. Alnawayseh, Pavel Loskot
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Distributed decode-forward for multicast
2014 IEEE International Symposium on Information Theory, 2014A new coding scheme for multicasting a mes- sage over a general relay network is presented that extends both network coding for graphical networks by Ahlswede, Cai, Li, and Yeung, and partial decode-forward for relay channels by Cover and El Gamal.
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