Zobrazeno 1 - 10
of 17 656
pro vyhledávání: '"P. Yogesh"'
Autor:
P. Yogesh, D. Chandramohan
Publikováno v:
Journal of Applied Science and Engineering, Vol 25, Iss 6, Pp 971-977 (2022)
The increased consumption of fuel has an impact on the global economy, necessitating the need for alternative fuels. Various studies have been conducted involving the mixing of higher alcohol with biodiesel in various proportions in order to improve
Externí odkaz:
https://doaj.org/article/bbacc8a5a0f7427a948190b63c9b006b
Autor:
Newlin, Nancy R., Schilling, Kurt, Koudoro, Serge, Chandio, Bramsh Qamar, Kanakaraj, Praitayini, Moyer, Daniel, Kelly, Claire E., Genc, Sila, Chen, Jian, Yang, Joseph Yuan-Mou, Wu, Ye, He, Yifei, Zhang, Jiawei, Zeng, Qingrun, Zhang, Fan, Adluru, Nagesh, Nath, Vishwesh, Pathak, Sudhir, Schneider, Walter, Gade, Anurag, Rathi, Yogesh, Hendriks, Tom, Vilanova, Anna, Chamberland, Maxime, Pieciak, Tomasz, Ciupek, Dominika, Vega, Antonio Tristán, Aja-Fernández, Santiago, Malawski, Maciej, Ouedraogo, Gani, Machnio, Julia, Ewert, Christian, Thompson, Paul M., Jahanshad, Neda, Garyfallidis, Eleftherios, Landman, Bennett A.
Publikováno v:
Machine.Learning.for.Biomedical.Imaging. 2 (2024)
White matter alterations are increasingly implicated in neurological diseases and their progression. International-scale studies use diffusion-weighted magnetic resonance imaging (DW-MRI) to qualitatively identify changes in white matter microstructu
Externí odkaz:
http://arxiv.org/abs/2411.09618
Autor:
NVIDIA, Atzmon, Yuval, Bala, Maciej, Balaji, Yogesh, Cai, Tiffany, Cui, Yin, Fan, Jiaojiao, Ge, Yunhao, Gururani, Siddharth, Huffman, Jacob, Isaac, Ronald, Jannaty, Pooya, Karras, Tero, Lam, Grace, Lewis, J. P., Licata, Aaron, Lin, Yen-Chen, Liu, Ming-Yu, Ma, Qianli, Mallya, Arun, Martino-Tarr, Ashlee, Mendez, Doug, Nah, Seungjun, Pruett, Chris, Reda, Fitsum, Song, Jiaming, Wang, Ting-Chun, Wei, Fangyin, Zeng, Xiaohui, Zeng, Yu, Zhang, Qinsheng
We introduce Edify Image, a family of diffusion models capable of generating photorealistic image content with pixel-perfect accuracy. Edify Image utilizes cascaded pixel-space diffusion models trained using a novel Laplacian diffusion process, in wh
Externí odkaz:
http://arxiv.org/abs/2411.07126
Autor:
S, Vatchala, C, Yogesh, Govindarajan, Yeshwanth, M, Krithik Raja, Ganesan, Vishal Pramav Amirtha, A, Aashish Vinod, Ramesh, Dharun
In this study, we introduce a novel multi-modal biometric authentication system that integrates facial, vocal, and signature data to enhance security measures. Utilizing a combination of Convolutional Neural Networks (CNNs) and Recurrent Neural Netwo
Externí odkaz:
http://arxiv.org/abs/2411.02112
Autor:
Wang, Jin, Guo, Bocheng, Li, Yijie, Wang, Junyi, Chen, Yuqian, Rushmore, Jarrett, Makris, Nikos, Rathi, Yogesh, O'Donnell, Lauren J, Zhang, Fan
Tractography fiber clustering using diffusion MRI (dMRI) is a crucial strategy for white matter (WM) parcellation. Current methods primarily use the geometric information of fibers (i.e., the spatial trajectories) to group similar fibers into cluster
Externí odkaz:
http://arxiv.org/abs/2411.01859
We introduce a novel score-based diffusion framework named Twigs that incorporates multiple co-evolving flows for enriching conditional generation tasks. Specifically, a central or trunk diffusion process is associated with a primary variable (e.g.,
Externí odkaz:
http://arxiv.org/abs/2410.24012
Autor:
Lo, Yui, Chen, Yuqian, Liu, Dongnan, Legarreta, Jon Haitz, Zekelman, Leo, Zhang, Fan, Rushmore, Jarrett, Rathi, Yogesh, Makris, Nikos, Golby, Alexandra J., Cai, Weidong, O'Donnell, Lauren J.
Brain imaging studies have demonstrated that diffusion MRI tractography geometric shape descriptors can inform the study of the brain's white matter pathways and their relationship to brain function. In this work, we investigate the possibility of ut
Externí odkaz:
http://arxiv.org/abs/2410.22099
Resting-state EEG data in neuroscience research serve as reliable markers for user identification and reveal individual-specific traits. Despite this, the use of resting-state data in EEG classification models is limited. In this work, we propose a f
Externí odkaz:
http://arxiv.org/abs/2411.09789
Autor:
Wang, Zhendong, Li, Zhaoshuo, Mandlekar, Ajay, Xu, Zhenjia, Fan, Jiaojiao, Narang, Yashraj, Fan, Linxi, Zhu, Yuke, Balaji, Yogesh, Zhou, Mingyuan, Liu, Ming-Yu, Zeng, Yu
Diffusion models, praised for their success in generative tasks, are increasingly being applied to robotics, demonstrating exceptional performance in behavior cloning. However, their slow generation process stemming from iterative denoising steps pos
Externí odkaz:
http://arxiv.org/abs/2410.21257
Autor:
Modi, Rajat, Rawat, Yogesh Singh
In this work, we propose Asynchronous Perception Machine (APM), a computationally-efficient architecture for test-time-training (TTT). APM can process patches of an image one at a time in any order asymmetrically and still encode semantic-awareness i
Externí odkaz:
http://arxiv.org/abs/2410.20535