Zobrazeno 1 - 10
of 99 548
pro vyhledávání: '"A. Bhatia"'
Autor:
SHRAVANI SANYAL, BIDISHA CHAKRABARTI, A. BHATIA, S. NARESH KUMAR, T.J. PURAKAYASTHA, DINESH KUMAR, PRAGATI PRAMANIK, S. KANNOJIYA, A. SHARMA, V. KUMAR
Publikováno v:
Journal of Agrometeorology, Vol 25, Iss 4 (2023)
An experiment was undertaken during rabi season of 2020-2021 and 2021-2022 at experimental field of Division of Environmental Science, ICAR-Indian Agriculture Research Institute (IARI), New Delhi inside Open Top Chambers (OTCs) to study the growth an
Externí odkaz:
https://doaj.org/article/b772c6dc2c1945989787eb3e1f7ea42a
Autor:
PRIYA BHATTACHARYA, K.K. BANDYOPADHYAY, P. KRISHNAN, P.P. MAITY, T.J. PURAKAYASTHA, A. BHATIA, B. CHAKRABORTY, S.N. KUMAR, SUJAN ADAK, RITU TOMER, MEENAKSHI
Publikováno v:
Journal of Agrometeorology, Vol 25, Iss 4 (2023)
A two-year field study was carried out at the Indian Agricultural Research Institute New Delhi, from rabi 2020-21 to 2021-22, with the aim of examining the impacts of tillage and residue management on yield, greenhouse gases (GHGs) emissions, global
Externí odkaz:
https://doaj.org/article/90b43b37210e44f2b159385cac89a588
Autor:
Gusdorff, Jordan A., Bhatia, Pia, Shin, Trey T., Uy-Tioco, Alexandra Sofia, Sailors, Benjamin N., Keneipp, Rachael N., Drndić, Marija, Bassett, Lee C.
Hexagonal boron nitride (hBN) hosts quantum emitters that exhibit single-photon emission and spin-dependent fluorescence at room temperature. These features make hBN a promising platform for quantum sensing and photonics. Despite many investigations
Externí odkaz:
http://arxiv.org/abs/2411.14408
Autor:
Smitha, H. N., Shapiro, Alexander I., Witzke, Veronika, Kostogryz, Nadiia M., Unruh, Yvonne C., Bhatia, Tanayveer S., Cameron, Robert, Seager, Sara, Solanki, Sami K.
Accurate calculations of starspot spectra are essential for multiple applications in astronomy. The current standard is to represent starspot spectra by spectra of stars that are cooler than the quiet star regions. This implies approximating a starsp
Externí odkaz:
http://arxiv.org/abs/2411.14056
Autor:
Varadhan, Praveen Srinivasa, Gulati, Amogh, Sankar, Ashwin, Anand, Srija, Gupta, Anirudh, Mukherjee, Anirudh, Marepally, Shiva Kumar, Bhatia, Ankur, Jaju, Saloni, Bhooshan, Suvrat, Khapra, Mitesh M.
Despite rapid advancements in TTS models, a consistent and robust human evaluation framework is still lacking. For example, MOS tests fail to differentiate between similar models, and CMOS's pairwise comparisons are time-intensive. The MUSHRA test is
Externí odkaz:
http://arxiv.org/abs/2411.12719
Autor:
Frost, Hunter J., Bhatia, Ekta, Xiao, Zhihao, Olson, Stephen, Johnson, Corbet, Musick, Kevin, Murray, Thomas, Borst, Christopher, Rao, Satyavolu Papa
The integration of superconducting niobium and tantalum into superconducting quantum devices has been increasingly explored over the past few years. Recent developments have shown that two-level-systems (TLS) in the surface oxides of these supercondu
Externí odkaz:
http://arxiv.org/abs/2411.10410
We present the first set of high-resolution, hydrodynamical cosmological simulations of galaxy formation in a Fuzzy Dark Matter (FDM) framework. These simulations were performed with a new version of the GASOLINE2 code, known as FUZZY-GASOLINE, which
Externí odkaz:
http://arxiv.org/abs/2411.09733
We introduce a novel Graph Attention Autoencoder (GAE) with spatial regularization to address the challenge of scalable anomaly detection in spatiotemporal rainfall data across India from 1990 to 2015. Our model leverages a Graph Attention Network (G
Externí odkaz:
http://arxiv.org/abs/2411.07753
The quest to build a generalist robotic system is impeded by the scarcity of diverse and high-quality data. While real-world data collection effort exist, requirements for robot hardware, physical environment setups, and frequent resets significantly
Externí odkaz:
http://arxiv.org/abs/2411.02214
Autor:
Bhatia, Gagan, Nagoudi, El Moatez Billah, Mekki, Abdellah El, Alwajih, Fakhraddin, Abdul-Mageed, Muhammad
We introduce {\bf Swan}, a family of embedding models centred around the Arabic language, addressing both small-scale and large-scale use cases. Swan includes two variants: Swan-Small, based on ARBERTv2, and Swan-Large, built on ArMistral, a pretrain
Externí odkaz:
http://arxiv.org/abs/2411.01192