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Presbyacousis and stress evaluation in urban settings., , , , and . ISABEL, page 55:1-55:4. ACM, (2011)3D Brain Tumor Segmentation Using Modified U-Net Architecture., , and . CW, page 9-15. IEEE, (2023)Temporal entropy-based texturedness indicator for audio signals., , and . ICASSP, page 564-568. IEEE, (2015)Hybrid Architecture for 3D Brain Tumor Image Segmentation Based on Graph Neural Network Pooling., , and . ICCCI (CCIS Volume), volume 1653 of Communications in Computer and Information Science, page 337-351. Springer, (2022)HDFU-Net: An Improved Version of U-Net using a Hybrid Dice Focal Loss Function for Multi-modal Brain Tumor Image Segmentation., , and . CW, page 71-78. IEEE, (2022)Texturedness decision time for audio texturedness indicator., , and . ISIVC, page 174-179. IEEE, (2016)Hybrid Learning Method for Image Segmentation., , and . SSD, page 667-672. IEEE, (2021)Visually-based audio texture segmentation for audio scene analysis., , and . EUSIPCO, page 1531-1535. IEEE, (2007)AffectiveROAD system and database to assess driver's attention., , , , and . SAC, page 800-803. ACM, (2018)Arabic adaptation of Phonology and Memory test using entropy-based analysis of word complexity., , , and . ISSPA, page 672-677. IEEE, (2012)