Zobrazeno 1 - 10
of 340
pro vyhledávání: '"Singh, Jasdeep"'
Publikováno v:
Computer Methods in Applied Mechanics and Engineering, Volume 427, 2024, 117033
Hamiltonian Operator Inference has been introduced in [Sharma, H., Wang, Z., Kramer, B., Physica D: Nonlinear Phenomena, 431, p.133122, 2022] to learn structure-preserving reduced-order models (ROMs) for Hamiltonian systems. This approach constructs
Externí odkaz:
http://arxiv.org/abs/2401.12138
Autor:
Singh, Jasdeep Kaur Darsan, Mazumdar, Purabi, Othman, Rofina Yasmin, Harikrishna, Jennifer Ann
Publikováno v:
In Journal of Biotechnology 20 May 2024 387:69-78
Autor:
Thotakuri, Goutham, Chakraborty, Poulamee, Singh, Jasdeep, Xu, Sutie, Kovács, Péter, Iqbal, Javed, Kumar, Sandeep
Publikováno v:
In Catena 30 March 2024 237
Publikováno v:
In Geoderma December 2023 440
Development and evaluation of a decision support mobile application for cotton irrigation management
Autor:
Ale, Srinivasulu, Su, Qiong, Singh, Jasdeep, Himanshu, Sushil, Fan, Yubing, Stoker, Blake, Gonzalez, Eric, Sapkota, Bala Ram, Adams, Curtis, Biggers, Keith, Kimura, Emi, Wall, James
Publikováno v:
In Smart Agricultural Technology October 2023 5
Publikováno v:
In Soil & Tillage Research June 2023 230
While natural language processing systems often focus on a single language, multilingual transfer learning has the potential to improve performance, especially for low-resource languages. We introduce XLDA, cross-lingual data augmentation, a method t
Externí odkaz:
http://arxiv.org/abs/1905.11471
Autor:
Bawa, Arun, Samanta, Sayantan, Himanshu, Sushil Kumar, Singh, Jasdeep, Kim, JungJin, Zhang, Tian, Chang, Anjin, Jung, Jinha, DeLaune, Paul, Bordovsky, James, Barnes, Edward, Ale, Srinivasulu
Publikováno v:
In Smart Agricultural Technology February 2023 3
This paper discusses the deep learning architectures currently used for pixel-wise segmentation of primary and secondary glioblastomas and low-grade gliomas. We implement various models such as the popular UNet architecture and compare the performanc
Externí odkaz:
http://arxiv.org/abs/1806.03981
Visual Question Answering (VQA) is an increasingly popular topic in deep learning research, requiring coordination of natural language processing and computer vision modules into a single architecture. We build upon the model which placed first in th
Externí odkaz:
http://arxiv.org/abs/1803.07724