Zobrazeno 1 - 10
of 2 485
pro vyhledávání: '"Waheed Abdul"'
Autor:
Rabbani Ameer Hamza, Ullah Qudrat, Naseer Omer, Gardezi Faizan Haider, Shahid Muhammad, Hussain Kashif, Saleem Taimoor, Ali Ahmad, Khan Yasir Razzaq, Waheed Abdul
Publikováno v:
Acta Veterinaria, Vol 71, Iss 4, Pp 417-434 (2021)
The analgesic efficacy of the gabapentin-tramadol combination was compared with meloxicam-tramadol and tramadol perioperative analgesic regimens in cats brought to the clinic for ovariohysterectomy. Thirty adult cats belonging to comparable demograph
Externí odkaz:
https://doaj.org/article/3d99f32691d14398ab501070979704bc
Autor:
Chen, Hao, Waheed, Abdul, Li, Xiang, Wang, Yidong, Wang, Jindong, Raj, Bhiksha, Abdin, Marah I.
The rise of Large Language Models (LLMs) has accentuated the need for diverse, high-quality pre-training data. Synthetic data emerges as a viable solution to the challenges of data scarcity and inaccessibility. While previous literature has focused p
Externí odkaz:
http://arxiv.org/abs/2410.15226
Understanding how speech foundation models capture non-verbal cues is crucial for improving their interpretability and adaptability across diverse tasks. In our work, we analyze several prominent models such as Whisper, Seamless, Wav2Vec, HuBERT, and
Externí odkaz:
http://arxiv.org/abs/2410.12948
Publikováno v:
Energies, Vol 16, Iss 7, p 3170 (2023)
Accurately obtaining the working status of the sucker rod pumping wells is a challenging problem for oil production. Sensors at the polished rod collect working data to form surface dynamometer cards for fault diagnosis. A prevalent method for recogn
Externí odkaz:
https://doaj.org/article/d4f639da89ba442e9572e55852f048cc
Autor:
Abbas Shujaat, Waheed Abdul
Publikováno v:
Panoeconomicus, Vol 68, Iss 5, Pp 745-763 (2021)
This study is an attempt to explore the short-term and long-term effects of the fiscal deficit along with other macroeconomic variables on the deteriorating trade deficit of Pakistan from 1980 to 2018 by using time series estimation techniques. Th
Externí odkaz:
https://doaj.org/article/9fcf4f1e239f4a1bb9405711296f259a
Recent work on distilling Whisper's knowledge into small models using pseudo-labels shows promising performance while reducing the size by up to 50\%. This results in small, efficient, and dedicated models. However, a critical step of distillation fr
Externí odkaz:
http://arxiv.org/abs/2407.01257
Zero-shot multi-speaker text-to-speech (ZS-TTS) systems have advanced for English, however, it still lags behind due to insufficient resources. We address this gap for Arabic, a language of more than 450 million native speakers, by first adapting a s
Externí odkaz:
http://arxiv.org/abs/2406.16751
Arabic is known to present unique challenges for Automatic Speech Recognition (ASR). On one hand, its rich linguistic diversity and wide range of dialects complicate the development of robust, inclusive models. On the other, current multilingual ASR
Externí odkaz:
http://arxiv.org/abs/2406.04512
Autor:
Waheed Abdul Khan, Shahbaz Khan Ali, Swetanka Prasad, Aruna Deshpande, Shagufta Khanam, D S Ray
Publikováno v:
Industrial Psychiatry Journal, Vol 28, Iss 1, Pp 63-67 (2019)
Background: Depressive illness in chronic kidney disease (CKD) is an independent risk factor for morbidity and mortality. The relation between depressive illness and quality of life (QoL) in this vulnerable group is complex. We attempted to study the
Externí odkaz:
https://doaj.org/article/8a35bf55e991497db3e9a27b8fa5c82e
Autor:
Waheed, Abdul, Talafha, Bashar, Sullivan, Peter, Elmadany, AbdelRahim, Abdul-Mageed, Muhammad
Arabic is a complex language with many varieties and dialects spoken by over 450 millions all around the world. Due to the linguistic diversity and variations, it is challenging to build a robust and generalized ASR system for Arabic. In this work, w
Externí odkaz:
http://arxiv.org/abs/2310.11069