amnesia 发表于 2025-3-25 07:08:37
978-3-642-09730-0Springer-Verlag Berlin Heidelberg 2008somnambulism 发表于 2025-3-25 11:34:32
Statistically Based Pattern Discovery Techniques for Biological Data Analysish-risk decision making systems, a milieu familiar to many biologically-related problem domains, is the likely area of application for this technique. An analysis of the performance of this technique on a series of biologically relevant data distributions is presented, and the relative merits and weaknesses of this technique are discussed.委屈 发表于 2025-3-25 11:56:44
Rough Sets In Data Analysis: Foundations and Applicationso the notion nor to its complement. The central tool in realizing this idea in rough sets is the relation of uncertainty based on the classical notion of indiscernibility due to Gottfried W. Leibniz: objects are indiscernible when no operator applied to each of them yields distinct values.Obstruction 发表于 2025-3-25 17:03:21
Contour Matching for Fish Species Recognition and Migration Monitoringhallenges involved in the design of this system, both hardware and software, and we present results from a field test of the system at Prosser Dam in Prosser, Washington. In tests with up to four distinct species, the algorithm correctly determines the species with greater than 90 percent accuracy.Guileless 发表于 2025-3-25 21:34:50
http://reply.papertrans.cn/16/1594/159340/159340_25.png蚀刻 发表于 2025-3-26 02:29:48
http://reply.papertrans.cn/16/1594/159340/159340_26.png圆木可阻碍 发表于 2025-3-26 06:34:58
http://reply.papertrans.cn/16/1594/159340/159340_27.png人类 发表于 2025-3-26 12:05:23
http://reply.papertrans.cn/16/1594/159340/159340_28.png漫不经心 发表于 2025-3-26 13:43:25
http://reply.papertrans.cn/16/1594/159340/159340_29.png拥护者 发表于 2025-3-26 18:05:32
Cell-Free MIMO Systems for UDNss. The application of integrated computational and biological approaches may help to achieve a better system-based understanding of biological processes in different environments. This will help to fully access valuable information regarding the evolution of genes and genomes in the wide diversity of organisms.