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Particle Swarm Optimization algorithm for facial emotion detection
Published 2010Get full text
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Nomadic people optimizer (NPO) for large-scale optimization problems
Published 2019“…The basic component of the algorithm consists of several clans and each clan searches for the best place (or best solution) based on the position of their leader. …”
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Cyclic Path Planning Of Hyper-Redundant Manipulator Using Whale Optimization Algorithm
Published 2021“…To solve the redundancy resolution, meta-heuristic optimizations, namely Genetic Algorithm (GA) and Whale Optimization Algorithm (WOA), are applied to search optimal trajectories inside local orientation angle boundaries. …”
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Cyclic Path Planning Of Hyper-Redundant Manipulator Using Whale Optimization Algorithm
Published 2023Article -
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Competitive improvement of the time complexity to encode fractal image: by applying symmetric central pixel of the block
Published 2021“…By combining the basics of self-similarity, scaling correlation, and statistical components, Benoit Mandelbrot formulated the idea of a natural fractal entity, an entity described by those fundamentals. …”
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Fractal coding of bio-metric image for face authentication
Published 2021“…Benoit Mandelbrot established the concept of the natural fractal object, characterized by merging the basics of self-similarity, scaling correlation, and statistical components. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Application of bioinformatics to Helicobacter pylori vaccinology / Nurah Zainal Abidin
Published 2008“…However Reverse Vaccinology searches the immunogenic antigens from in silica analyses from the genome pathway instead of culturing the microorganism. …”
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Twofold Integer Programming Model for Improving Rough Set Classification Accuracy in Data Mining.
Published 2005“…Therefore generating a good decision model or classification model is a major component in many data mining researches. The classification approach basically produces a function that maps data item into one of several predefined classes, by way of inputting training dataset and building a model of the class attribute based on the rest of the attributes.This research undertakes three main tasks. …”
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Application of clustering in managing unstructured textual data in relational database / Wael Mohamed Shaher Yafooz
Published 2014“…The model is tested and evaluated by embedding it in a component-based package of a relational databases internal structure. …”
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