Zobrazeno 1 - 10
of 7 972
pro vyhledávání: '"P, Niraj"'
Autor:
Inamdar, Niraj K.
The time difference of arrival (TDOA) problem admits exact, purely algebraic solutions for the situation in which there are 4 and 5 sensors and a single source whose position is to be determined in 3 dimensions. The solutions are exact in the sense t
Externí odkaz:
http://arxiv.org/abs/2501.01076
There has been a recent surge in development of accurate machine learning (ML) weather prediction models, but evaluation of these models has mainly been focused on medium-range forecasts, not their performance in cycling data assimilation (DA) system
Externí odkaz:
http://arxiv.org/abs/2412.18016
Autor:
Wang, Hongjie, Ma, Chih-Yao, Liu, Yen-Cheng, Hou, Ji, Xu, Tao, Wang, Jialiang, Juefei-Xu, Felix, Luo, Yaqiao, Zhang, Peizhao, Hou, Tingbo, Vajda, Peter, Jha, Niraj K., Dai, Xiaoliang
Text-to-video generation enhances content creation but is highly computationally intensive: The computational cost of Diffusion Transformers (DiTs) scales quadratically in the number of pixels. This makes minute-length video generation extremely expe
Externí odkaz:
http://arxiv.org/abs/2412.09856
Freezing of Gait Detection Using Gramian Angular Fields and Federated Learning from Wearable Sensors
Autor:
Soumma, Shovito Barua, Alam, S M Raihanul, Rahman, Rudmila, Mahi, Umme Niraj, Mamun, Abdullah, Mostafavi, Sayyed Mostafa, Ghasemzadeh, Hassan
Freezing of gait (FOG) is a debilitating symptom of Parkinson's disease (PD) that impairs mobility and safety. Traditional detection methods face challenges due to intra and inter-patient variability, and most systems are tested in controlled setting
Externí odkaz:
http://arxiv.org/abs/2411.11764
Autor:
Wyder, Philippe Martin, Bakhda, Riyaan, Zhao, Meiqi, Booth, Quinn A., Modi, Matthew E., Song, Andrew, Kang, Simon, Wu, Jiahao, Patel, Priya, Kasumi, Robert T., Yi, David, Garg, Nihar Niraj, Jhunjhunwala, Pranav, Bhutoria, Siddharth, Tong, Evan H., Hu, Yuhang, Goldfeder, Judah, Mustel, Omer, Kim, Donghan, Lipson, Hod
Biological lifeforms can heal, grow, adapt, and reproduce -- abilities essential for sustained survival and development. In contrast, robots today are primarily monolithic machines with limited ability to self-repair, physically develop, or incorpora
Externí odkaz:
http://arxiv.org/abs/2411.11192
Autor:
Bhatta, Gopal, Chaudhary, Suvas C., Dhital, Niraj, Adhikari, Tek P., Mohorian, Maksym, Pánis, Radim, Neupane, Raghav, Maharjan, Yogesh Singh
Blazars, a class of active galactic nuclei (AGN) powered by supermassive black holes, are known for their remarkable variability across multiple timescales and wavelengths. With advancements in both ground- and space-based telescopes, our understandi
Externí odkaz:
http://arxiv.org/abs/2410.01278
Autor:
Nepal, Niraj K., Wang, Lin-Lin
We present a workflow that iteratively combines \textit{ab-initio} calculations with a machine-learning (ML) guided search for superconducting compounds with both dynamical stability and instability from imaginary phonon modes, the latter of which ha
Externí odkaz:
http://arxiv.org/abs/2409.18441
Optimizing Deep Learning-based Simultaneous Localization and Mapping (DL-SLAM) algorithms is essential for efficient implementation on resource-constrained embedded platforms, enabling real-time on-board computation in autonomous mobile robots. This
Externí odkaz:
http://arxiv.org/abs/2409.14515
Autor:
Li, Chia-Hao, Jha, Niraj K.
Wearable medical sensors (WMSs) are revolutionizing smart healthcare by enabling continuous, real-time monitoring of user physiological signals, especially in the field of consumer healthcare. The integration of WMSs and modern machine learning (ML)
Externí odkaz:
http://arxiv.org/abs/2409.09549
Accurate and efficient calculation of optical response properties of solid materials is still challenging. We present a meta-generalized gradient approximation (metaGGA) density functional based time-dependent and dielectric function dependent method
Externí odkaz:
http://arxiv.org/abs/2409.04904