Zobrazeno 1 - 10
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pro vyhledávání: '"Arsh A"'
Autor:
Shashank Gupta, Iteash Agarwal, Vijayalaxmi Mogiligidda, Rajesh Kumar Krishnan, Sruthi Chennuri, Deepika Aggarwal, Anwesha Hoodati, Sheroy Cooper, Ranjan, Mohammad Bilal Sheik, K. M. Bhavya, Manasa Hegde, M. Naveen Krishna, Amit Kumar Chauhan, Mallikarjun Korrapati, Sumit Singh, J. B. Singh, Sunil Sud, Sunil Gupta, Sidhartha Pant, Sankar, Neha Agrawal, Ashish Ranjan, Piyush Mohapatra, T. Roopak, Arsh Ahmad, M. Nanjunda, Dilip Singh
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Major research interests on quantum key distribution (QKD) are primarily focused on increasing 1. Point-to-point transmission distance (1000 km). 2. Secure key rate (Mbps). 3. Security of quantum layer (device-independence). It is great to p
Externí odkaz:
https://doaj.org/article/e821c27b9d254d549a2f829cb9aefc78
We continue our study of exponent semigroups of rational matrices. Our main result is that the matricial dimension of a numerical semigroup is at most its multiplicity (the least generator), greatly improving upon the previous upper bound (the conduc
Externí odkaz:
http://arxiv.org/abs/2407.15571
Numerical semigroups from rational matrices I: power-integral matrices and nilpotent representations
Our aim in this paper is to initiate the study of exponent semigroups for rational matrices. We prove that every numerical semigroup is the exponent semigroup of some rational matrix. We also obtain lower bounds on the size of such matrices and discu
Externí odkaz:
http://arxiv.org/abs/2407.03560
Recently, we have seen growing interest among patients with chronic conditions to track their health-related data. There are many wearable devices available to track different health data. However, tracking pain is mostly done by using pen and paper
Externí odkaz:
http://arxiv.org/abs/2407.02697
Sample efficiency is critical when applying learning-based methods to robotic manipulation due to the high cost of collecting expert demonstrations and the challenges of on-robot policy learning through online Reinforcement Learning (RL). Offline RL
Externí odkaz:
http://arxiv.org/abs/2406.13961
The creation of a Software Requirements Specification (SRS) document is important for any software development project. Given the recent prowess of Large Language Models (LLMs) in answering natural language queries and generating sophisticated textua
Externí odkaz:
http://arxiv.org/abs/2404.17842
Autor:
Karamveer Singh Sidhu, Armanveer Singh Gill, Arsh Arora, Ramandeep Singh, Gunjot Singh, Manish Kumar Verma, Bavneet Kaur
Publikováno v:
Environment Conservation Journal, Vol 22, Iss SE (2021)
The demands of population are gradually increasing rapidly. Most manufacturing and processing industries face obstacles or problems to fulfil this daily increase in demand. Even if the demand can be managed, the transmission of diseases through these
Externí odkaz:
https://doaj.org/article/2ae95caf621447c6b5177b7ce52c9d81
Autor:
Holste, Gregory, Zhou, Yiliang, Wang, Song, Jaiswal, Ajay, Lin, Mingquan, Zhuge, Sherry, Yang, Yuzhe, Kim, Dongkyun, Nguyen-Mau, Trong-Hieu, Tran, Minh-Triet, Jeong, Jaehyup, Park, Wongi, Ryu, Jongbin, Hong, Feng, Verma, Arsh, Yamagishi, Yosuke, Kim, Changhyun, Seo, Hyeryeong, Kang, Myungjoo, Celi, Leo Anthony, Lu, Zhiyong, Summers, Ronald M., Shih, George, Wang, Zhangyang, Peng, Yifan
Many real-world image recognition problems, such as diagnostic medical imaging exams, are "long-tailed" $\unicode{x2013}$ there are a few common findings followed by many more relatively rare conditions. In chest radiography, diagnosis is both a long
Externí odkaz:
http://arxiv.org/abs/2310.16112
Publikováno v:
The Emerald Handbook of Tourism Economics and Sustainable Development
Autor:
Zhang, Arthur, Eranki, Chaitanya, Zhang, Christina, Park, Ji-Hwan, Hong, Raymond, Kalyani, Pranav, Kalyanaraman, Lochana, Gamare, Arsh, Bagad, Arnav, Esteva, Maria, Biswas, Joydeep
We introduce the UT Campus Object Dataset (CODa), a mobile robot egocentric perception dataset collected on the University of Texas Austin Campus. Our dataset contains 8.5 hours of multimodal sensor data: synchronized 3D point clouds and stereo RGB v
Externí odkaz:
http://arxiv.org/abs/2309.13549