Zobrazeno 1 - 10
of 191 306
pro vyhledávání: '"Mahmood AS"'
Publikováno v:
Journal of Mazandaran University of Medical Sciences, Vol 34, Iss 237, Pp 238-239 (2024)
Seyedeh Azar Mousavifard1, Mozhgan Ardestani1, Fatemeh Zarei2, Mahmood Asgarianzadeh2 1 Lecturer, Department of Occupational Health Engineering, Faculty of Health, Alborz University of Medical Sciences, Karaj, Iran 2 BSc in Occupational Health, Fa
Externí odkaz:
https://doaj.org/article/d462563d54cd4f6f8fcdfae72fbeea87
Autor:
Mahmood Ashraf, Lihui Chen, Nisreen Innab, Muhammad Umer, Jamel Baili, Tai-Hoon Kim, Imran Ashraf
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 12649-12665 (2024)
Recent developments and the widespread adoption of remote sensing data (RSD) gave rise to various hyperspectral imaging (HSI) applications. With its detailed spectral information, HSI has been adopted for use in various agriculture-related applicatio
Externí odkaz:
https://doaj.org/article/c4ef72470ae5457aace7a128dc854d32
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 4331-4349 (2024)
Convolutional neural networks (CNNs) recently have achieved impressive performance for hyperspectral image denoising. However, current CNNs have limitations in exploring spectral correlations across various bands and the interactions among features w
Externí odkaz:
https://doaj.org/article/faf1ab765dd64273bbf6adce93d81092
Autor:
Mahmood Ashraf, Raed Alharthi, Lihui Chen, Muhammad Umer, Shtwai Alsubai, Ala Abdulmajid Eshmawi
Publikováno v:
PLoS ONE, Vol 19, Iss 4, p e0300013 (2024)
Hyperspectral Images (HSI) classification is a challenging task due to a large number of spatial-spectral bands of images with high inter-similarity, extra variability classes, and complex region relationships, including overlapping and nested region
Externí odkaz:
https://doaj.org/article/c94914f3382c43989c1851b90074d03d
Autor:
Furkh Zeshan, Adnan Ahmad, Muhammad Imran Babar, Muhammad Hamid, Fahima Hajjej, Mahmood Ashraf
Publikováno v:
IEEE Access, Vol 11, Pp 133947-133966 (2023)
The advancement in automation and medical care technologies in recent decade has changed the traditional medical treatment of patients. Although, these technologies have increased the treatment’s precision but the growing number and the complexity
Externí odkaz:
https://doaj.org/article/d01e05597b0746ada519f2812c117fd7
Publikováno v:
Remote Sensing, Vol 16, Iss 3, p 539 (2024)
Several deep learning and transformer models have been recommended in previous research to deal with the classification of hyperspectral images (HSIs). Among them, one of the most innovative is the bidirectional encoder representation from transforme
Externí odkaz:
https://doaj.org/article/4c3457c2504542a7aade996d212ab6a1
Voice authentication on IoT-enabled smart devices has gained prominence in recent years due to increasing concerns over user privacy and security. The current authentication systems are vulnerable to different voice-spoofing attacks (e.g., replay, vo
Externí odkaz:
http://arxiv.org/abs/2411.19841
Autor:
Ding, Tong, Wagner, Sophia J., Song, Andrew H., Chen, Richard J., Lu, Ming Y., Zhang, Andrew, Vaidya, Anurag J., Jaume, Guillaume, Shaban, Muhammad, Kim, Ahrong, Williamson, Drew F. K., Chen, Bowen, Almagro-Perez, Cristina, Doucet, Paul, Sahai, Sharifa, Chen, Chengkuan, Komura, Daisuke, Kawabe, Akihiro, Ishikawa, Shumpei, Gerber, Georg, Peng, Tingying, Le, Long Phi, Mahmood, Faisal
The field of computational pathology has been transformed with recent advances in foundation models that encode histopathology region-of-interests (ROIs) into versatile and transferable feature representations via self-supervised learning (SSL). Howe
Externí odkaz:
http://arxiv.org/abs/2411.19666
In this study, we present a novel analytical approach to solving large-scale Ising problems by reformulating the discrete Ising Hamiltonian into a continuous framework. This transformation enables us to derive exact solutions for a non-trivial class
Externí odkaz:
http://arxiv.org/abs/2411.19604
Autor:
Liu, Zuhao, Yanev, Aleksandar, Mahmood, Ahmad, Nikolov, Ivan, Motamed, Saman, Zheng, Wei-Shi, Wang, Xi, Van Gool, Luc, Paudel, Danda Pani
Advances in video generation have significantly improved the realism and quality of created scenes. This has fueled interest in developing intuitive tools that let users leverage video generation as world simulators. Text-to-video (T2V) generation is
Externí odkaz:
http://arxiv.org/abs/2411.16804