Zobrazeno 1 - 10
of 57 080
pro vyhledávání: '"A. Jaya"'
Publikováno v:
Geoenvironmental Disasters, Vol 11, Iss 1, Pp 1-15 (2024)
Abstract Background Operational large-scale flood monitoring using publicly available satellite data is possible with the advent of Sentinel-1 microwave data, which enables near-real-time (at 6-day intervals) flood mapping day and night, even in clou
Externí odkaz:
https://doaj.org/article/bc298fca3eb7401d98feb0f762d5a196
Neural network assisted electrostatic global gyrokinetic toroidal code using cylindrical coordinates
Gyrokinetic simulation codes are used to understand the microturbulence in the linear and nonlinear regimes of the tokamak and stellarator core. The codes that use flux coordinates to reduce computational complexities introduced by the anisotropy due
Externí odkaz:
http://arxiv.org/abs/2408.12851
Autor:
Kudyba, Paul, Mandapaka, Jaya Sravani, Wang, Weijie, McCorkendale, Logan, McCorkendale, Zachary, Kidane, Mathias, Sun, Haijian, Adams, Eric, Namuduri, Kamesh, Fund, Fraida, Sichitiu, Mihail, Ozdemir, Ozgur
As wireless researchers are tasked to enable wireless communication as infrastructure in more dynamic aerial settings, there is a growing need for large-scale experimental platforms that provide realistic, reproducible, and reliable experimental vali
Externí odkaz:
http://arxiv.org/abs/2407.12180
Autor:
Díaz-Aranda, Sergio, Ramírez, Juan Marcos, Daga, Mohit, Champati, Jaya Prakash, Aguilar, José, Lillo, Rosa Elvira, Anta, Antonio Fernández
Epidemiologists and social scientists have used the Network Scale-Up Method (NSUM) for over thirty years to estimate the size of a hidden sub-population within a social network. This method involves querying a subset of network nodes about the number
Externí odkaz:
http://arxiv.org/abs/2407.10640
Autor:
Clink, Dena J., Kim, Jinsung, Cross-Jaya, Hope, Ahmad, Abdul Hamid, Hong, Moeurk, Sala, Roeun, Birot, Hélène, Agger, Cain, Vu, Thinh Tien, Thi, Hoa Nguyen, Chi, Thanh Nguyen, Klinck, Holger
Automated detection of acoustic signals is crucial for effective monitoring of vocal animals and their habitats across ecologically-relevant spatial and temporal scales. Recent advances in deep learning have made these approaches more accessible. How
Externí odkaz:
http://arxiv.org/abs/2407.09976
Autor:
Behera, Adarsh Prasad, Daubaris, Paulius, Bravo, Iñaki, Gallego, José, Morabito, Roberto, Widmer, Joerg, Champati, Jaya Prakash Varma
On-device inference holds great potential for increased energy efficiency, responsiveness, and privacy in edge ML systems. However, due to less capable ML models that can be embedded in resource-limited devices, use cases are limited to simple infere
Externí odkaz:
http://arxiv.org/abs/2407.11061
Autor:
M. Ankush Kumar, A. Jaya Laxmi
Publikováno v:
IEEE Access, Vol 9, Pp 85300-85309 (2021)
Currently, research work is primarily dependent on the collection of large sets of data from systems and making predictions based on the knowledge obtained from the data, which is generally termed as ‘data mining’. These data mining algorithms ar
Externí odkaz:
https://doaj.org/article/386081941a904c4fb81abcd846bf0c2f
Autor:
A. Jaya Mabel Rani, A. Pravin
Publikováno v:
Advances in Fuzzy Systems, Vol 2022 (2022)
Currently, medical data clustering is a very active and effective part of the research area to take proper decisions at the medical field from medical data sets. But medical data clustering is a very challenging issue due to limitless receiving data,
Externí odkaz:
https://doaj.org/article/a93c9436b1ac4d71bd10adfe58006522
Autor:
Lovenia, Holy, Mahendra, Rahmad, Akbar, Salsabil Maulana, Miranda, Lester James V., Santoso, Jennifer, Aco, Elyanah, Fadhilah, Akhdan, Mansurov, Jonibek, Imperial, Joseph Marvin, Kampman, Onno P., Moniz, Joel Ruben Antony, Habibi, Muhammad Ravi Shulthan, Hudi, Frederikus, Montalan, Railey, Ignatius, Ryan, Lopo, Joanito Agili, Nixon, William, Karlsson, Börje F., Jaya, James, Diandaru, Ryandito, Gao, Yuze, Amadeus, Patrick, Wang, Bin, Cruz, Jan Christian Blaise, Whitehouse, Chenxi, Parmonangan, Ivan Halim, Khelli, Maria, Zhang, Wenyu, Susanto, Lucky, Ryanda, Reynard Adha, Hermawan, Sonny Lazuardi, Velasco, Dan John, Kautsar, Muhammad Dehan Al, Hendria, Willy Fitra, Moslem, Yasmin, Flynn, Noah, Adilazuarda, Muhammad Farid, Li, Haochen, Lee, Johanes, Damanhuri, R., Sun, Shuo, Qorib, Muhammad Reza, Djanibekov, Amirbek, Leong, Wei Qi, Do, Quyet V., Muennighoff, Niklas, Pansuwan, Tanrada, Putra, Ilham Firdausi, Xu, Yan, Tai, Ngee Chia, Purwarianti, Ayu, Ruder, Sebastian, Tjhi, William, Limkonchotiwat, Peerat, Aji, Alham Fikri, Keh, Sedrick, Winata, Genta Indra, Zhang, Ruochen, Koto, Fajri, Yong, Zheng-Xin, Cahyawijaya, Samuel
Southeast Asia (SEA) is a region rich in linguistic diversity and cultural variety, with over 1,300 indigenous languages and a population of 671 million people. However, prevailing AI models suffer from a significant lack of representation of texts,
Externí odkaz:
http://arxiv.org/abs/2406.10118
Autor:
Chen, Shan, Gallifant, Jack, Gao, Mingye, Moreira, Pedro, Munch, Nikolaj, Muthukkumar, Ajay, Rajan, Arvind, Kolluri, Jaya, Fiske, Amelia, Hastings, Janna, Aerts, Hugo, Anthony, Brian, Celi, Leo Anthony, La Cava, William G., Bitterman, Danielle S.
Large language models (LLMs) are increasingly essential in processing natural languages, yet their application is frequently compromised by biases and inaccuracies originating in their training data. In this study, we introduce Cross-Care, the first
Externí odkaz:
http://arxiv.org/abs/2405.05506