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Titlebook: Database and Expert Systems Applications; DEXA 2019 Internatio Gabriele Anderst-Kotsis,A Min Tjoa,Michael Granitz Conference proceedings 20

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31#
發(fā)表于 2025-3-26 21:07:03 | 只看該作者
Gabriele Anderst-Kotsis,A Min Tjoa,Michael Granitz
32#
發(fā)表于 2025-3-27 01:21:03 | 只看該作者
33#
發(fā)表于 2025-3-27 08:04:47 | 只看該作者
Controlled Environment Horticulturence) is possible with a combination of distance and regular k-mer features..The novel features specifically aid classification at closer evolutionary distances when compared to k-mers only. K-mer and k-mer distance features together lead to accurate classification for larger evolutionary distances s
34#
發(fā)表于 2025-3-27 10:13:58 | 只看該作者
35#
發(fā)表于 2025-3-27 15:37:05 | 只看該作者
36#
發(fā)表于 2025-3-27 20:49:07 | 只看該作者
37#
發(fā)表于 2025-3-27 23:12:49 | 只看該作者
Conference proceedings 2019cations,?DEXA 2019, held in Linz, Austria, in August 2019: The 10th International Workshop on Biological Knowledge Discovery from Data, BIOKDD 2019,?? the 3rd International Workshop on Cyber-Security and Functional Safety in Cyber-Physical Systems, IWCFS 2019, the 1st International Workshop on Machi
38#
發(fā)表于 2025-3-28 03:01:35 | 只看該作者
An Approach for LPF Table Computation computational biology, data compression and string algorithms. In this paper, we present an approach to compute the LPF table of a string from its suffix heap. The algorithm runs in linear time with linear memory space.
39#
發(fā)表于 2025-3-28 08:55:04 | 只看該作者
Speeding-Up the Dynamic Programming Procedure for the Edit Distance of Two Strings non-optimal solutions, and a large fraction (up?to 80–90%) of the DP matrix cells do not need to be computed. Including the method’s overhead, this translates into a speedup factor from . up?to . in the time needed to find the optimal solution for strings of length about 20,000.
40#
發(fā)表于 2025-3-28 14:28:13 | 只看該作者
Microbial and Plant-Based Biostimulants90%. These improvements came from increasingly larger databases of protein sequences and structures for training, the use of template secondary structure information and more powerful deep learning techniques. In this paper we review the best four scorer servers which provide the highest accuracy for 3- and 8-state secondary structure prediction.
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