Zobrazeno 1 - 10
of 31 119
pro vyhledávání: '"Yousif SO"'
This study presents a deep learning model-based reinforcement learning (DL-MBRL) approach for active control of two-dimensional (2D) wake flow past a square cylinder using antiphase jets. The DL-MBRL framework alternates between interacting with a de
Externí odkaz:
http://arxiv.org/abs/2408.14232
Autor:
Salahuddin, Zohaib, Ibrahim, Abdalla, Kuang, Sheng, Widaatalla, Yousif, Miclea, Razvan L., Morin, Oliver, Behr, Spencer, Kop, Marnix P. M., Marcelissen, Tom, Zondervan, Patricia, Jager, Auke, Lambin, Philippe, Woodruff, Henry C
Routine computed tomography (CT) scans often detect a wide range of renal cysts, some of which may be malignant. Early and precise localization of these cysts can significantly aid quantitative image analysis. Current segmentation methods, however, d
Externí odkaz:
http://arxiv.org/abs/2408.03789
Autor:
Yousif, Mustafa Z., Zhou, Dan, Yu, Linqi, Zhang, Meng, Mohammadikarachi, Arash, Lee, Jung Sub, Lim, Hee-Chang
This study aims to reconstruct the complete flow field from spatially restricted domain data by utilizing an Enhanced Super-Resolution Generative Adversarial Network (ESRGAN) model. The difficulty in flow field reconstruction lies in accurately captu
Externí odkaz:
http://arxiv.org/abs/2408.01658
In this study, we proposed an efficient approach based on a deep learning (DL) denoising autoencoder (DAE) model for denoising noisy flow fields. The DAE operates on a self-learning principle and does not require clean data as training labels. Furthe
Externí odkaz:
http://arxiv.org/abs/2408.01659
The aim in this paper is to apply the iLQR, iterative Linear Quadratic Regulator, to control the movement of a mobile robot following an already defined trajectory. This control strategy has proven its utility for nonlinear systems. As follows up, th
Externí odkaz:
http://arxiv.org/abs/2404.18312
Autor:
Yousif, Mohammed, Mathew, Jonat John, Pallan, Huzaifa, Padda, Agamjeet Singh, Shah, Syed Daniyal, Adamski, Sara, Reddiboina, Madhu, Pankajakshan, Arjun
Generalization in audio deepfake detection presents a significant challenge, with models trained on specific datasets often struggling to detect deepfakes generated under varying conditions and unknown algorithms. While collectively training a model
Externí odkaz:
http://arxiv.org/abs/2404.13008
Autor:
Soliman, Ahmed, Yousif, Yousif, Ibrahim, Ahmed, Zafari-Ghadim, Yalda, Rashed, Essam A., Mabrok, Mohamed
Stroke segmentation plays a crucial role in the diagnosis and treatment of stroke patients by providing spatial information about affected brain regions and the extent of damage. Segmenting stroke lesions accurately is a challenging task, given that
Externí odkaz:
http://arxiv.org/abs/2403.17177
Autor:
Yousif, Yasin, Müller, Jörg
Developing accurate models for traffic trajectory predictions is crucial for achieving fully autonomous driving. Various deep neural network models have been employed to address this challenge, but their black-box nature hinders transparency and debu
Externí odkaz:
http://arxiv.org/abs/2402.03457
Autor:
Harik, Ramy, Kalach, Fadi El, Samaha, Jad, Clark, Devon, Sander, Drew, Samaha, Philip, Burns, Liam, Yousif, Ibrahim, Gadow, Victor, Tarekegne, Theodros, Saha, Nitol
Two industry-grade datasets are presented in this paper that were collected at the Future Factories Lab at the University of South Carolina on December 11th and 12th of 2023. These datasets are generated by a manufacturing assembly line that utilizes
Externí odkaz:
http://arxiv.org/abs/2401.15544
Human papillomavirus (HPV) is a significant public health concern, as it is a leading cause of cervical cancer in women. However, data on the prevalence of HPV infection among Iraqi women is scarce. This study aimed to estimate the prevalence of HPV
Externí odkaz:
http://arxiv.org/abs/2307.14806