Titlebook: Computational Science and Its Applications – ICCSA 2021; 21st International C Osvaldo Gervasi,Beniamino Murgante,Carmelo Maria T Conference

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Sarcoma

R. Moreno,R. Matos,P.G.K Metnitzon which recognizes the meningioma and non-meningioma brain images. The proposed method is evaluated using accuracy, sensitivity, specificity, and dice coefficient index. Simulation study demonstrates that the proposed technique achieves better performance, both visually and quantitatively in comparison with other approaches.

极小量

Update in Intensive Care Medicineented in an effort to detect possible signs of fraud and illegality. Finally, by using data analysis tools, it was possible to originate different graphic models and data-based visualizations, thus obtaining summaries and preliminary results about the data of the Forestry Document system.

动作谜

扩张

https://doi.org/10.1007/978-3-030-86917-5 to tune the classical gravitational N-body problem by considering five bodies that interact under gravitational force from one another, subject to Newton’s laws of motion. Results on the effect of POP in term of mixed-precision tuning of the N-body example are discussed.

nautical

https://doi.org/10.1057/9780230289642ltiple precision matrix multiplications were accelerated more than three times compared with non-accelerated ones. Our accelerated matrix multiplication modifies parallelization performance with OpenMP.

critique

An Efficient Approach for the Detection of Brain Tumor Using Fuzzy Logic and U-NET CNN Classificatioon which recognizes the meningioma and non-meningioma brain images. The proposed method is evaluated using accuracy, sensitivity, specificity, and dice coefficient index. Simulation study demonstrates that the proposed technique achieves better performance, both visually and quantitatively in comparison with other approaches.

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