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1. lstm-bbo-ga lstm-bbo-ga Public

   An adaptable LSTM trained with two optimizing algorithms instead of the back propagation learning algorithm is presented. The optimization algorithms are biogeography-based optimization (BBO) and g…

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2. student-performance student-performance Public

   Identifying university students’ weaknesses results in better learning and can function as an early warning system to enable students to improve. However, the satisfaction level of existing systems…

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3. lstm-hs lstm-hs Public

   Using Accuracy Measure for Improving the Training of LSTM with Metaheuristic Algorithms, these are; Harmony Search (HS), Gray Wolf Optimizer (GWO), Sine Cosine (SCA), and Ant Lion Optimization algo…

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4. covid19models covid19models Public

   In this work, we used five machine learning techniques (GWO_MLP, GWO_CMLP, MGWO_MLP, FDO_MLP, FDO_CMLP) all of which aim to classify Covid-19 patients into two categories (Positive and Negative). E…

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5. DSO DSO Public

   Swarm Intelligence is a metaheuristic optimization approach that has become very predominant over the last few decades. These algorithms are inspired by animals’ physical behaviors and their evolut…

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6. FDO-matlab FDO-matlab Public

   In this paper, a novel swarm intelligent algorithm is proposed, known as the fitness dependent optimizer (FDO). The bee swarming the reproductive process and their collective decision-making have i…

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