Zobrazeno 1 - 10
of 38 514
pro vyhledávání: '"Waheed SO"'
Autor:
Waheed, Yunus, Shit, Sumitra, Surendran, Jithin T, Prasad, Indrajeet D, Watanabe, Kenji, Taniguchi, Takashi, Kumar, Santosh
Transition metal dichalcogenides and related layered materials in their monolayer and a few layers thicknesses regime provide a promising optoelectronic platform for exploring the excitonic- and many-body physics. Strain engineering has emerged as a
Externí odkaz:
http://arxiv.org/abs/2412.10114
Autor:
Prasad, Indrajeet Dhananjay, Shit, Sumitra, Waheed, Yunus, Surendran, Jithin Thoppil, Watanabe, Kenji, Taniguchi, Takashi, Kumar, Santosh
Bilayers of transition-metal dichalcogenides show many exciting features, including long-lived interlayer excitons and wide bandgap tunability using strain. Not many investigations on experimental determinations of deformation potentials relating cha
Externí odkaz:
http://arxiv.org/abs/2412.00453
Autor:
Rehman, Waheed
The field of steganography has long been focused on developing methods to securely embed information within various digital media while ensuring imperceptibility and robustness. However, the growing sophistication of detection tools and the demand fo
Externí odkaz:
http://arxiv.org/abs/2412.00094
Publikováno v:
Geophysics (2021): 1-102
Seismic data inevitably suffers from random noise and missing traces in field acquisition. This limits the utilization of seismic data for subsequent imaging or inversion applications. Recently, dictionary learning has gained remarkable success in se
Externí odkaz:
http://arxiv.org/abs/2411.05956
Autor:
Hossain, Soaad, Rasalingam, James, Waheed, Arhum, Awil, Fatah, Kandiah, Rachel, Ahmed, Syed Ishtiaque
With the growing interest in using AI and machine learning (ML) in medicine, there is an increasing number of literature covering the application and ethics of using AI and ML in areas of medicine such as clinical psychiatry. The problem is that ther
Externí odkaz:
http://arxiv.org/abs/2411.05856
Autor:
Afiq-Rosli, Lutfi, Wainwright, Benjamin J., Lee, Jen Nie, Waheed, Zarinah, Chou, Loke Ming, Huang, Danwei
Publikováno v:
Diversity and Distributions, 2024 Dec 01. 30(12), 1-14.
Externí odkaz:
https://www.jstor.org/stable/48798759
The global demand for unconventional energy sources such as geothermal energy and white hydrogen requires new exploration techniques for precise subsurface structure characterization and potential reservoir identification. Magnetotelluric (MT) invers
Externí odkaz:
http://arxiv.org/abs/2410.15274
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
Large Language Models (LLMs) have demonstrated significant capabilities across numerous application domains. A key challenge is to keep these models updated with latest available information, which limits the true potential of these models for the en
Externí odkaz:
http://arxiv.org/abs/2409.12257