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    BIRD SWARM ALGORITHM: BSA is a new meta-heuristic swarm intelligence algorithm proposed by Xian-Bing Meng [35] , inspired by social behavior and interaction of birds. Different birds gather food in different ways. Foraging is the searching for food resources or gathering food either for immediate consumption or future storage. Birds forage in flocks because they gather more information in flocks than their own intelligence. Group foraging boost-up the chances of detecting predators. While…

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    are two modules: feature extraction process and classification. First, the shape features are extracted using techniques like Scale invariant feature transform (SIFT), Harris corner detection and Zernike moments. Second, the supervised learning algorithms like Deep neural network (DNN) and Extreme learning machine (ELM) are used to classify the brain tumor images. Experiments are performed using 1000 brain tumor images. In the performance evaluation, sensitivity, specificity, accuracy, error…

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    I read the book Nine Algorithms that Changed the Future by John MacCormick. Nine Algorithms that Changed the Future is a 210-page book that covers fascinating algorithms that we all use in our everyday lives. As MacCormick puts it “Every day, we use our computers to perform remarkable feats. Uploading a photo to Facebook transmits millions of pieces of information over numerous error-prone network links, yet somehow a perfect copy of the photo arrives intact.” MacCormick’s writings explains…

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    RSA

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    Breaking an algorithm means that there’s a solution that is able to reverse or solve the algorithm which takes a lot of less time compare to when cracking using other attacks such as brute force attack. Cracking the RSA means that using other methods to attack the algorithm without solving the algorithm itself. The most common known RSA is the RSA 512 bits, 1024 bits, 2048 bits and 4096 bits. RSA 512 bits…

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    MFO Method Case Study

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    for study has been developed and implemented in MATLAB 7 and executed on 2.80GHz dual core processor with 2GB RAM. The description of test cases and simulation results obtained by MFO are presented as below. Main control parameters used for MFO are search agent size as 50 and shape factor equal to1. Test case I: It is two area forty thermal power generating units. The fuel cost characteristics data, operating limits and tie line limits are similar to [19, 24]. This test case has all…

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    Docking: In molecular modeling field, docking is a method which assumes the desired orientation of one molecule to a second molecule when bound to each other, to form a stable complex. Knowledge of the orientations can be used to assume the strength of association or binding affinity between the two molecules. The associations between biologically relevant molecules such as proteins, nucleic acids, carbohydrates, and lipids play a key role in signal transduction. Thus, the relative alignment of…

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    Bee Colony Selection

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    In other words, all the search processes provide all the solutions for the problems, so that the hardness of ceramic Al2O3–TiC–TiN samples either increases or decreases. The best search which leads to the best solution (the best food source), represents the best optimized values for the process parameters. Depending on the local or visual information, an…

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    Community Detection Essay

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    practical importance. For examples; in a citation network communities may correspond to related papers on a single topic; in the web communities may correspond to web pages related to a single topic, which decrease the time needed by search engines to retrieve data by focusing on narrow but topically-related subsets of the web; also community can be considered as a summary of the whole network thus easy to…

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    Cellular manufacturing is an application of Group Technology in which machines or processes have been aggregated into cells, each of which is dedicated to production of a part or product family or limited group of families. Parts with similar processing requirements are identified; these are then placed into logical groups called part families and the equipment requirements for each part family are subsequently determined. A part family is a collection of parts which are similar either because…

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    Master Patient Index

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    Algorithms are discussed in the file “Fundamentals for Building a Master Patient Index/Enterprise Master Index (Updated)” provided by the instructor. Algorithms are accurate, sophisticated, flexible, mathematical formulas that are designed to be used by the organization or enterprise to combine the weighted patient data elements to aid in determining the probability of a duplication and eliminate errors. The 3 algorithms discussed are deterministic, rules based…

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