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pro vyhledávání: '"Shaik, Mohammed"'
Pre-trained Transformer-based speech models have shown striking performance when fine-tuned on various downstream tasks such as automatic speech recognition and spoken language identification (SLID). However, the problem of domain mismatch remains a
Externí odkaz:
http://arxiv.org/abs/2312.07338
Self-supervised representation learning for speech often involves a quantization step that transforms the acoustic input into discrete units. However, it remains unclear how to characterize the relationship between these discrete units and abstract p
Externí odkaz:
http://arxiv.org/abs/2306.02405
Autor:
Amer, Ahmed, Bhuvaneshwara, Chirag, Addluri, Gowtham K., Shaik, Mohammed M., Bonde, Vedant, Müller, Philipp
Listeners use short interjections, so-called backchannels, to signify attention or express agreement. The automatic analysis of this behavior is of key importance for human conversation analysis and interactive conversational agents. Current state-of
Externí odkaz:
http://arxiv.org/abs/2306.01656
Publikováno v:
Case Studies in Thermal Engineering, Vol 61, Iss , Pp 104906- (2024)
This study investigates the two-dimensional magnetohydrodynamic (MHD) boundary-layer flow over a stretching sheet embedded in a porous medium, focusing on the innovative use of hybrid nanofluids. The research has practical applications in heat exchan
Externí odkaz:
https://doaj.org/article/771140a0f101458ba85724dca99d2a74
Autor:
Yonghao Xiao, Khokan Choudhuri, Adisak Thanetchaiyakup, Wei Xin Chan, Xinwen Hu, Mansour Sadek, Ying Hern Tam, Ryan Guanying Loh, Sharifah Nadhirah Binte Shaik Mohammed, Kendric Jian Ying Lim, Ju Zheng Ten, Felipe Garcia, Vijila Chellappan, Tej S. Choksi, Yee‐Fun Lim, Han Sen Soo
Publikováno v:
Advanced Science, Vol 11, Iss 29, Pp n/a-n/a (2024)
Abstract Lead‐free metal halide perovskites can potentially be air‐ and water‐stable photocatalysts for organic synthesis, but there are limited studies on them for this application. Separately, machine learning (ML), a critical subfield of art
Externí odkaz:
https://doaj.org/article/060bff8f6bca4f3aaaa29d37700f403a
Autor:
Parakapali Roja, Thummala Sankar Reddy, Shaik Mohammed Ibrahim, Meruva Parvathi, Gurram Dharmaiah, Giulio Lorenzini
Publikováno v:
Journal of Applied and Computational Mechanics, Vol 10, Iss 2, Pp 369-382 (2024)
The researchers have reported numerous numerical and analytical efforts in recent years to understand technological and industrial processes. Microelectronics, heat exchangers, solar systems, energy generators are just a few numbers of recent applica
Externí odkaz:
https://doaj.org/article/45ebca1cc760464b99f8f7fde45c205c
Backdoor attack intends to embed hidden backdoor into deep neural networks (DNNs), such that the attacked model performs well on benign samples, whereas its prediction will be maliciously changed if the hidden backdoor is activated by the attacker de
Externí odkaz:
http://arxiv.org/abs/2204.05758
Autor:
Kandaswamy, Karthikeyan, Prasad Panda, Siva, Subramanian, Raghunandhakumar, Khan, Haroon, Rafi Shaik, Mohammed, Althaf Hussain, Shaik, Guru, Ajay, Arockiaraj, Jesu
Publikováno v:
In International Immunopharmacology 25 October 2024 140
Autor:
Viola, Khan, Ishaq N., Muhammad, Niaz, Shaik, Mohammed Rafi, Ahmad, Ashfaq, Tumanov, Nikolay, Wouters, Johan, Ilyas, Muhammad, Ibrahim, Mohammad
Publikováno v:
In Journal of Molecular Structure 5 October 2024 1313
Autor:
Shubha, J.P., Roopashree, B., Sushma, N.V., Kiran, K., Ravikumar, R., Kuniyil, Mufsir, Rafi Shaik, Mohammed, Khan, Mujeeb, Farooq Adil, Syed
Publikováno v:
In Journal of King Saud University - Science October 2024 36(9)