Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Sirin Nitinawarat"'
Autor:
Sipat Triukose, Sirin Nitinawarat, Ponlapat Satian, Anupap Somboonsavatdee, Ponlachart Chotikarn, Thunchanok Thammasanya, Nasamon Wanlapakorn, Natthinee Sudhinaraset, Pitakpol Boonyamalik, Bancha Kakhong, Yong Poovorawan
Publikováno v:
PLoS ONE, Vol 16, Iss 2, p e0246274 (2021)
A novel infectious respiratory disease was recognized in Wuhan (Hubei Province, China) in December 2019. In February 2020, the disease was named "coronavirus disease 2019" (COVID-19). COVID-19 became a pandemic in March 2020, and, since then, differe
Externí odkaz:
https://doaj.org/article/fb5f77bb46664c8c9abf59817a63b2ff
Autor:
Anupap Somboonsavatdee, Thunchanok Thammasanya, Natthinee Sudhinaraset, Ponlachart Chotikarn, Sipat Triukose, Pitakpol Boonyamalik, Sirin Nitinawarat, Bancha Kakhong, Yong Poovorawan, Ponlapat Satian, Nasamon Wanlapakorn
Publikováno v:
PLoS ONE
PLoS ONE, Vol 16, Iss 2, p e0246274 (2021)
PLoS ONE, Vol 16, Iss 2, p e0246274 (2021)
A novel infectious respiratory disease was recognized in Wuhan (Hubei Province, China) in December 2019. In February 2020, the disease was named “coronavirus disease 2019” (COVID-19). COVID-19 became a pandemic in March 2020, and, since then, dif
Publikováno v:
2021 3rd Asia Pacific Information Technology Conference.
In the context of healthcare, volunteers play an important role in improving the patient's experience and lowering the operational cost. However, the process which facilitate their management is reported to be problematic. In this research, we have e
Autor:
Sirin Nitinawarat, Marisa Pongprutthipan, Kuladech Rashataprucksa, Krerk Piromsopa, Sipat Triukose, Chavalit Chuangchaichatchavarn
Publikováno v:
2020 2nd International Conference on Image Processing and Machine Vision.
In this paper, a baseline for automated acne detection with deep neural networks is presented. The goal is to overcome the poor performance of traditional acne detection methods. Acne vulgaris is a disease of sebaceous gland usually presented on the
Publikováno v:
Sequential Analysis. 34:1-24
A new model for controlled sensing for multihypothesis testing is proposed and studied in the sequential setting. This new model, termed {\em controlled Markovian observation} model, exhibits a more complicated memory structure in the controlled obse
Autor:
Sirin Nitinawarat
Publikováno v:
ISIT
We study the capacity region $C_L$ of an arbitrarily varying multiple-access channel (AVMAC) for deterministic codes with decoding into a list of a fixed size $L$ and for the average error probability criterion. Motivated by known results in the stud
Autor:
Sirin Nitinawarat, Prakash Narayan
Publikováno v:
IEEE Transactions on Information Theory. 58:3373-3391
Secret key generation by multiple terminals is considered based on their observations of jointly distributed Gaussian signals, followed by public communication among themselves. Exploiting an inherent connection between secrecy generation and lossy d
Publikováno v:
ISIT
We consider secret key generation for a "pairwise independent network" model in which every pair of terminals observes correlated sources that are independent of sources observed by all other pairs of terminals. The terminals are then allowed to comm
Publikováno v:
ISIT
Quickest outlier detection and isolation is studied in universal settings. Initially, multiple data streams are commonly distributed according to a “typical” distribution. At the change time, an outlier stream emerges and starts to be distributed
Publikováno v:
ICASSP
In outlier hypothesis testing, multiple observation sequences are collected, a small subset of which are outliers. Observations in an outlier sequence are generated by a mechanism different from that generating the observations in the majority of seq