Zobrazeno 1 - 10
of 1 079
pro vyhledávání: '"Nandyala, A."'
Autor:
Gulick, Hannah C., Neights, Eliza, Nussirat, Samer Al, Chen, Claire Tianyi, Ching, Kaylie, Dove, Cassandra, Joens, Alyson, Kierans, Carolyn, Liu, Hubert, Martinez, Israel, Mician, Tomas, Nagasawa, Shunsaku, Nandyala, Shreya, Schmidtke, Isabel, Shah, Derek, Zoglauer, Andreas, Nakasawa, Kazuhiro, Takahashi, Tadayuki, Oliveros, Juan-Carlos Martinez, Tomsick, John A.
Publikováno v:
SPIE, 2024
The Compton Spectrometer and Imager (COSI) is a NASA funded Small Explorer (SMEX) mission slated to launch in 2027. COSI will house a wide-field gamma-ray telescope designed to survey the entire sky in the 0.2--5 MeV range. Using germanium detectors,
Externí odkaz:
http://arxiv.org/abs/2407.07155
Inventory control typically considers controlling the price and the production rate. However, such systems have rigidity towards altering the physical storage capacity -- one can not easily alter the physical size after the initial design. The paper
Externí odkaz:
http://arxiv.org/abs/2406.05526
README: Bridging Medical Jargon and Lay Understanding for Patient Education through Data-Centric NLP
Autor:
Yao, Zonghai, Kantu, Nandyala Siddharth, Wei, Guanghao, Tran, Hieu, Duan, Zhangqi, Kwon, Sunjae, Yang, Zhichao, team, README annotation, Yu, Hong
The advancement in healthcare has shifted focus toward patient-centric approaches, particularly in self-care and patient education, facilitated by access to Electronic Health Records (EHR). However, medical jargon in EHRs poses significant challenges
Externí odkaz:
http://arxiv.org/abs/2312.15561
Autor:
Palaskar, Santosh, Ekambaram, Vijay, Jati, Arindam, Gantayat, Neelamadhav, Saha, Avirup, Nagar, Seema, Nguyen, Nam H., Dayama, Pankaj, Sindhgatta, Renuka, Mohapatra, Prateeti, Kumar, Harshit, Kalagnanam, Jayant, Hemachandra, Nandyala, Rangaraj, Narayan
The efficiency of business processes relies on business key performance indicators (Biz-KPIs), that can be negatively impacted by IT failures. Business and IT Observability (BizITObs) data fuses both Biz-KPIs and IT event channels together as multiva
Externí odkaz:
http://arxiv.org/abs/2310.20280
This paper considers the problem of finding a solution to the finite horizon constrained Markov decision processes (CMDP) where the objective as well as constraints are sum of additive and multiplicative utilities. Towards solving this, we construct
Externí odkaz:
http://arxiv.org/abs/2303.07834
This work considers multiple agents traversing a network from a source node to the goal node. The cost to an agent for traveling a link has a private as well as a congestion component. The agent's objective is to find a path to the goal node with min
Externí odkaz:
http://arxiv.org/abs/2301.10993
Autor:
Arumugom Archana, Chandra Kumar Natarajan, Vaanathi Hementha Kumar, Gnanasambandam Subramaniyam, Bala Ramachandran, Komarakshi Balakrishnan, KG Suresh Rao, Abhishek Berwal, Vishwanath Nandyala, Swati Iyer
Publikováno v:
Annals of Pediatric Cardiology, Vol 17, Iss 1, Pp 81-84 (2024)
A neonate born of third-degree consanguineous marriage presented on day 12 of life with congestive cardiac failure. A male sibling died at 3 months of age, cause of which was not known. He was treated with decongestive measures and multiple inotropes
Externí odkaz:
https://doaj.org/article/ea8a63f7b9734e58bfd5b70c972ff6fd
This paper considers the problem of finding near-optimal Markovian randomized (MR) policies for finite-state-action, infinite-horizon, constrained risk-sensitive Markov decision processes (CRSMDPs). Constraints are in the form of standard expected di
Externí odkaz:
http://arxiv.org/abs/2209.14963
Autor:
Song-Kyoo Kim, Xiaomei Feng, Hussam Al Hamadi, Ernesto Damiani, Chan Yeob Yeun, Sivaprasad Nandyala
Publikováno v:
IEEE Access, Vol 12, Pp 115296-115305 (2024)
In the area of machine learning (ML) training data optimization through the construction of compact data, the focus of this paper is presented. The concept of compact data design, aimed at creating an optimized dataset that maximizes benefits without
Externí odkaz:
https://doaj.org/article/2419f89ddae04656bf3448a2833fcae4
Anomaly detection is an essential problem in machine learning. Application areas include network security, health care, fraud detection, etc., involving high-dimensional datasets. A typical anomaly detection system always faces the class-imbalance pr
Externí odkaz:
http://arxiv.org/abs/2112.13514