Search Results for "encryption algorithm java" - Page 2
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Showing 33 open source projects for "encryption algorithm java"
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TACS (Trust Ant Colony System) is a Trust model for P2P, Ad-hoc and Wireless Sensor networks (also valid for multi-agent systems) based on the bio-inspired algorithm ACS (Ant Colony System).
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DrPangloss is a python implementation of a three operator genetic algorithm, complete with a java swing GUI for running the GA and visualising performance, generation by generation
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Molevolve is a Java library for running a Genetic Algorithm to model the 3-dimensional structures of peptide chains from amino-acid sequences. Client code can specify its own peptide chain model, fitness functions and GA operations. Requires JDK 1.5.
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JAligner is an open source Java implementation of the dynamic programming algorithm Smith-Waterman with Gotoh's improvement for biological local pairwise sequence alignment with the affine gap penalty model.
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The Ultimate Quiz Maker & Engagement PlatformRiddle is an online platform for creating interactive content such as quizzes, surveys, personality tests, prediction games, and leaderboards. Our customers create content on our platform and then embed it on their website. The goal? Increased engagement, lead generation, segmentation, and content monetization - all 100% GDPR compliant.
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IslandEv distributes a Genetic Algorithm (like <a href="/projects/jaga">JaGa</a>) across a network (see <a href="/projects/distrit">DistrIT</a>) using an island based coevolutionary model in which neighbouring islands swap migrating individuals every
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MAGMA: Multiobjective Analyzer for Genetic Marker Acquisition A genetic algorithm for generating SNP tiling paths from a large SNP database based on the competing objectives of cost (number of SNPs) and coverage (haplotype blocks): Hubley R., Zitzler
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A suite of tools for discovering and genotyping genome structural variation from sequencing data, including the Genome STRiP algorithm.
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videonetwork
A simulator for self-organizing video replication and more
... algorithm, which lets the content place itself where it is needed. It is robust, scalable and adaptive. The transport path of content is exploited to replicate content and limited storage space is handled by clean-up mechanisms. We implemented a simulator to show the algorithm's performance and to test its behavior under real circumstances. It is easily extendable to support several new scenarios or changes to the algorithm (see replication and client models).
