Zobrazeno 1 - 10
of 2 650
pro vyhledávání: '"Atri P"'
Autor:
Dwi Ariyani, Anjani Kirana Balqis, Dehas Abdaa, Resti Nur Arini, Atri Prautama Dewi, Saniscara Phratama KT
Publikováno v:
Journal of Natural Resources and Environmental Management, Vol 13, Iss 3 (2023)
Flooding is a natural occurrence hazardous to people and properties and produces environmental and economic losses, especially in flood-prone areas. This study will be used to assess flood risk in the Bangko and Masjid watersheds. To analyze it, floo
Externí odkaz:
https://doaj.org/article/9ccd413a36ec441c86b2ea1973ea7cdc
Autor:
Atie Tri Juniati, Dwi Ariyani, Nuryani Tinumbia, Fadli Kurnia, Atri Prautama Dewi, Gatut Bayuaji, Hera Hera, Nono Carsono
Publikováno v:
Jurnal Pengabdian Kepada Masyarakat (Indonesian Journal of Community Engagement), Vol 7, Iss 4, Pp 247-252 (2021)
River restoration is an activity to restore the river's condition to its original state. River restoration is one of the SDGs targets, namely target 6.6, Aquatic Ecosystems.The target of 6.6 SDGs is to conserve and restore water-related ecosystems su
Externí odkaz:
https://doaj.org/article/5c19dfa60f094312be06e8a6e3c8351d
Compared to electronic phase transitions, structural phase transitions of crystals are challenging to control due to the energy cost of breaking dense solid bonds. Recently, however, electric field switching of stacking configuration between honeycom
Externí odkaz:
http://arxiv.org/abs/2408.06088
Autor:
Deb, Biswajit, Deshamukhya, Atri
Over the last four decades, a number of modified gravity theories have been proposed to study cosmological phenomena as they can provide solutions for some of the shortcomings of Einstein's gravity in explaining early and late time accelerations of t
Externí odkaz:
http://arxiv.org/abs/2408.01863
Autor:
Yeasmin, Sabina, Deshamukhya, Atri
We study warm inflation in the framework of $f(\phi)T$ gravity, where $\phi$ is the inflaton and $T$ is the trace of the energy-momentum tensor. The inflaton field is assumed to roll on the natural potential and the result is analyzed in light of Pla
Externí odkaz:
http://arxiv.org/abs/2408.00595
Autor:
Arora, Simran, Timalsina, Aman, Singhal, Aaryan, Spector, Benjamin, Eyuboglu, Sabri, Zhao, Xinyi, Rao, Ashish, Rudra, Atri, Ré, Christopher
Recurrent large language models that compete with Transformers in language modeling perplexity are emerging at a rapid rate (e.g., Mamba, RWKV). Excitingly, these architectures use a constant amount of memory during inference. However, due to the lim
Externí odkaz:
http://arxiv.org/abs/2407.05483
We report improved wave function for mesons in QCD potential model approach using multiplicative method for solution of Schr\"{o}dinger equation for the extreme cases of inter-quark separations ($r\rightarrow0$ and $r\rightarrow\infty$). Using the wa
Externí odkaz:
http://arxiv.org/abs/2406.17293
Autor:
Wood, Callan M., Miller-Jones, James C. A., Bahramian, Arash, Tingay, Steven J., Prabu, Steve, Russell, Thomas D., Atri, Pikky, Carotenuto, Francesco, Altamirano, Diego, Motta, Sara E., Hyland, Lucas, Reynolds, Cormac, Weston, Stuart, Fender, Rob, Körding, Elmar, Maitra, Dipankar, Markoff, Sera, Migliari, Simone, Russell, David M., Sarazin, Craig L., Sivakoff, Gregory R., Soria, Roberto, Tetarenko, Alexandra J., Tudose, Valeriu
Multi-wavelength polarimetry and radio observations of Swift J1727.8-1613 at the beginning of its recent 2023 outburst suggested the presence of a bright compact jet aligned in the north-south direction, which could not be confirmed without high angu
Externí odkaz:
http://arxiv.org/abs/2405.12370
Deep learning models have achieved remarkable success across diverse domains. However, the intricate nature of these models often impedes a clear understanding of their decision-making processes. This is where Explainable AI (XAI) becomes indispensab
Externí odkaz:
http://arxiv.org/abs/2404.19341
Autor:
Arora, Simran, Eyuboglu, Sabri, Zhang, Michael, Timalsina, Aman, Alberti, Silas, Zinsley, Dylan, Zou, James, Rudra, Atri, Ré, Christopher
Recent work has shown that attention-based language models excel at recall, the ability to ground generations in tokens previously seen in context. However, the efficiency of attention-based models is bottle-necked during inference by the KV-cache's
Externí odkaz:
http://arxiv.org/abs/2402.18668