Zobrazeno 1 - 10
of 1 261
pro vyhledávání: '"Abdulatif AS"'
Autor:
Alaa Eldin Eissa, Abdulatif Asheg, Abdulsalam Abu Mhara, Mahmoud Sharaf, Awad Abdelbaky, Amira Attia, Tarek Dakhil, Alkhateib Gaafar, Eman Ismail, Rasmia Abu Leila, Heba Abdel Hady, Emad Afify, Abdelbary Prince, Reham Ragab, Khalid Shahin
Publikováno v:
Journal of Applied Veterinary Sciences, Vol 9, Iss 2, Pp 31-41 (2024)
Streptococcosis is one of the septicaemic bacterial diseases of public health concern due to its zoonotic potential. Its luxurious existence in wild marine fish from an open water body strongly suggests presence of massive sewage pollution. The aim o
Externí odkaz:
https://doaj.org/article/46def50aa1734ae0affdf594e0c5140a
The rapid evolution of deep learning and its integration with autonomous driving systems have led to substantial advancements in 3D perception using multimodal sensors. Notably, radar sensors show greater robustness compared to cameras and lidar unde
Externí odkaz:
http://arxiv.org/abs/2408.06772
Publikováno v:
Open Veterinary Journal, Vol 8, Iss 4, Pp 401-405 (2018)
Avian paramyxovirus-1 (APMV-1) is the causative agent of Newcastle Disease which affects many species of birds leading to high mortality and heavy economic losses among poultry industry worldwide. Newcastle disease is endemic in Libya with frequent o
Externí odkaz:
https://doaj.org/article/d111cb97478546029e7f16984f45b260
Autor:
Chauhan, Nidhika, Kaur, Navneet, Saini, Kamaljit Singh, Verma, Sahil, Alabdulatif, Abdulatif, Khurma, Ruba Abu, Garcia-Arenas, Maribel, Castillo, Pedro A.
As cloud computing usage grows, cloud data centers play an increasingly important role. To maximize resource utilization, ensure service quality, and enhance system performance, it is crucial to allocate tasks and manage performance effectively. The
Externí odkaz:
http://arxiv.org/abs/2402.13135
Publikováno v:
IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 32, pp. 2477-2493, 2024
In this work, we further develop the conformer-based metric generative adversarial network (CMGAN) model for speech enhancement (SE) in the time-frequency (TF) domain. This paper builds on our previous work but takes a more in-depth look by conductin
Externí odkaz:
http://arxiv.org/abs/2209.11112
Publikováno v:
Proceedings of INTERSPEECH, 2022, pp. 936--940
Recently, convolution-augmented transformer (Conformer) has achieved promising performance in automatic speech recognition (ASR) and time-domain speech enhancement (SE), as it can capture both local and global dependencies in the speech signal. In th
Externí odkaz:
http://arxiv.org/abs/2203.15149
Autor:
Rathod, Tejal, Jadav, Nilesh Kumar, Tanwar, Sudeep, Alabdulatif, Abdulatif, Garg, Deepak, Singh, Anupam
Publikováno v:
In Information Processing and Management January 2025 62(1)
Radar for deep learning-based human identification has become a research area of increasing interest. It has been shown that micro-Doppler ($\mu$-D) can reflect the walking behavior through capturing the periodic limbs' micro-motions. One of the main
Externí odkaz:
http://arxiv.org/abs/2110.08595
Autor:
Khan, Habib Ullah, Abbas, Muhammad, Khan, Faheem, Nazir, Shah, Binbusayyis, Adel, Alabdultif, Abdulatif, Taegkeun, Whangbo
Publikováno v:
In Computers in Human Behavior August 2024 157
Autor:
Al-Shabib, Nasser Abdulatif, Khan, Javed Masood, Malik, Ajamaluddin, Alamri, Abdulaziz, Rehman, Md Tabish, AlAjmi, Mohamed F., Husain, Fohad Mabood
Publikováno v:
In International Journal of Biological Macromolecules April 2024 265 Part 1