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Titlebook: Computational Intelligence in Biomedicine and Bioinformatics; Current Trends and A Tomasz G. Smolinski,Mariofanna G. Milanova,Aboul-E Book

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樓主: 嚴峻
11#
發(fā)表于 2025-3-23 12:14:50 | 只看該作者
12#
發(fā)表于 2025-3-23 16:30:58 | 只看該作者
IT Strategy — Using IT for Value Creationl foundations and hands-on experience that allow researchers to figure out novel applications of AIS in bioinformatics and, at the same time, providing researchers with necessary insights for implementation in daily research. The contribution will be organised in 5 sections.
13#
發(fā)表于 2025-3-23 19:38:11 | 只看該作者
Computational Intelligence in Solving Bioinformatics Problems: Reviews, Perspectives, and Challengespplied to solve bioinformatic problems and how bioinformatics could be analyzed, processed, and characterized by computational intelligence. Challenges to be addressed and future directions of research are presented. An extensive bibliography is also included.
14#
發(fā)表于 2025-3-24 00:58:34 | 只看該作者
Artificial Immune Systems in Bioinformaticsl foundations and hands-on experience that allow researchers to figure out novel applications of AIS in bioinformatics and, at the same time, providing researchers with necessary insights for implementation in daily research. The contribution will be organised in 5 sections.
15#
發(fā)表于 2025-3-24 02:56:03 | 只看該作者
https://doi.org/10.1007/978-3-8349-8823-2tic algorithm, a process that mimics evolution. This chapter highlights data mining and the genetic algorithm technique, and it also lists many applications where data mining tools have been beneficial to biological and biomedical researchers, and lists some of the available data mining tools.
16#
發(fā)表于 2025-3-24 10:15:01 | 只看該作者
https://doi.org/10.1007/978-3-8349-9325-0erns. This algorithm feeds into our enhanced Neural Query System [2, 12] database application to facilitate data-mining. We have used our algorithm to identify and classify activity from both simulated and experimental seizures.
17#
發(fā)表于 2025-3-24 10:56:59 | 只看該作者
18#
發(fā)表于 2025-3-24 17:12:31 | 只看該作者
19#
發(fā)表于 2025-3-24 22:03:03 | 只看該作者
20#
發(fā)表于 2025-3-24 23:31:44 | 只看該作者
Computational Intelligence Techniques in Image Segmentation for Cytopathology. In this chapter we present and discuss some modified versions of watershed algorithm, active contours, cellular automata, GrowCut technique, as well as new approaches like fuzzy sets of I and II type, and the sonar-like method.
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