Daniel M. Yellin
About
Daniel M. Yellin has authored 32 papers that have received a total of 749 indexed citations.
This includes 15 papers in Artificial Intelligence, 11 papers in Computer Networks and Communications and 9 papers in Computational Theory and Mathematics. The topics of these papers are Algorithms and Data Compression (5 papers), Blind Source Separation Techniques (5 papers) and Logic, programming, and type systems (5 papers). Daniel M. Yellin is often cited by papers focused on Algorithms and Data Compression (5 papers), Blind Source Separation Techniques (5 papers) and Logic, programming, and type systems (5 papers) and collaborates with scholars based in United States, Israel and Singapore. Daniel M. Yellin's co-authors include Rob Strom, David Mandelin, Itsik Bergel, Robert E. Strom and Wai Fong Boh and has published in prestigious journals such as Communications of the ACM, IEEE Transactions on Signal Processing and IEEE Transactions on Vehicular Technology
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