Titlebook: Applications of Intelligent Optimization in Biology and Medicine; Current Trends and O Aboul-Ella Hassanien,Crina Grosan,Mohamed Fahmy To B

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Women in the Health Professionssame scene. It is the process of combining a sequence of low-resolution (LR) noisy blurred images to produce a higher-resolution image. The reconstruction of high-resolution images is computationally expensive. SR is defined to be an inverse problem that is well-known as ill-conditioned. The SR prob

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Encyclopedia of World Climatologyty. In the present work, the performance of two computer aided diagnostic (CAD) systems has been compared for classification of breast tissue density. The work has been carried out on MIAS dataset with 322 mammographic images consisting of 106 fatty and 216 dense images. The ROIs have been selected

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https://doi.org/10.1007/978-1-4615-9322-5ed and applied on liver CT images. Compared to FFCM, the proposed approach leads to higher values in terms of Jaccard Index and Dice Coefficient, and thus, indicating higher similarity with the ground truth provided. Based on ANOVA analysis, PSOFFCM showed better results in terms of Dice Coefficient

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https://doi.org/10.1007/978-1-4615-8807-8patterns and classes. Therefore, the accurate prediction of DNA-binding proteins and their classes is essential. This chapter proposes efficient protein feature representations for the prediction of DNA-binding proteins and their classes. The prediction results achieved are comparable or superior to

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A Simplex Nelder Mead Genetic Algorithm for Minimizing Molecular Potential Energy Function,zation of molecular potential energy function problem is very challenging, since the number of local minima grows exponentially with the molecular size. The new algorithm combines a global search genetic algorithm with a local search Nelder-Mead algorithm in order to search for the global minimum of

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