Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Taposh, Banerjee"'
Publikováno v:
IEEE Access, Vol 12, Pp 117691-117700 (2024)
Score-based statistical models play an important role in modern machine learning, statistics, and signal processing. For hypothesis testing, a score-based hypothesis test is proposed in Wu et al., (2022). We analyze the performance of this score-base
Externí odkaz:
https://doaj.org/article/ebf57b6e4cf043e98c46ec37e15a91f3
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:13026-13039
This paper investigates the practical engineering problem of traffic sensors placement on stretched highways with ramps. Since it is virtually impossible to install bulky traffic sensors on each highway segment, it is crucial to find placements that
Publikováno v:
2022 IEEE 13th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON).
Publikováno v:
2022 58th Annual Allerton Conference on Communication, Control, and Computing (Allerton).
Publikováno v:
2022 IEEE 65th International Midwest Symposium on Circuits and Systems (MWSCAS).
Publikováno v:
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).
Automatic classification of cardiac abnormalities is becoming increasingly popular with the prevalence of ECG recordings. Many signal processing and machine learning algorithms have shown the potential to identify cardiac ab-normalities accurately. H
Publikováno v:
MWSCAS
Cardiovascular diseases are one of the major causes of all human deaths. Irregular heartbeat or arrhythmia is one among many reasons for cardiovascular diseases. Arrhythmia detection and classification is critical in the treatment of irregular heartb
Publikováno v:
ISIT
The problem of detecting a change in the distribution of a statistically periodic process is investigated. The problem is posed in the framework of independent and periodically identically distributed (i.p.i.d.) processes, a recently introduced class
Publikováno v:
ICASSP
An algorithm is proposed to detect and classify a change in the distribution of a stochastic process that has periodic statistical behavior. The problem is posed in the framework of independent and periodically identically distributed (i.p.i.d.) proc