Results 1 to 10 of about 171,757 (316)

SAX J1808.4-3658, an accreting millisecond pulsar shining in gamma rays? [PDF]

open access: yes, 2015
We report the detection of a possible gamma-ray counterpart of the accreting millisecond pulsar SAX J1808.4-3658. The analysis of ~6 years of data from the Large Area Telescope on board the Fermi Gamma-ray Space Telescope (Fermi-LAT) within a region of ...
Burderi, L.   +9 more
core   +6 more sources

The mass and the radius of the neutron star in the transient low mass X-ray binary SAX J1748.9−2021 [PDF]

open access: yes, 2012
We use time resolved spectroscopy of thermonuclear X-ray bursts observed from SAX J1748.9−2021 to infer the mass and the radius of the neutron star in the binary.
Guver, Tolga   +3 more
core   +5 more sources

Recent activity of the Be/X-ray binary system SAX J2103.5+4545 [PDF]

open access: yes, 2014
Aims. We present a multiwavelength study of the Be/X-ray binary system SAX J2103.5+4545 with the goal of better characterizing the transient behaviour of this source. Methods.
Arabaci, M. Ozbey   +8 more
core   +3 more sources

Is SAX J1808.4-3658 a Strange Star ? [PDF]

open access: yes, 1999
One of the most important questions in the study of compact objects is the nature of pulsars, including whether they are composed of $\beta$-stable nuclear matter or strange quark matter. Observations of the newly discovered millisecond X-ray pulsar \sax
A. Olinto   +50 more
core   +15 more sources

Similarity Measurement and Classification of Temporal Data Based on Double Mean Representation

open access: yesAlgorithms, 2023
Time series data typically exhibit high dimensionality and complexity, necessitating the use of specific approximation methods to perform computations on the data.
Zhenwen He, Chi Zhang, Yunhui Cheng
doaj   +1 more source

Distance- and Momentum-Based Symbolic Aggregate Approximation for Highly Imbalanced Classification

open access: yesSensors, 2022
Time-series representation is the most important task in time-series analysis. One of the most widely employed time-series representation method is symbolic aggregate approximation (SAX), which converts the results from piecewise aggregate approximation ...
Dong-Hyuk Yang, Yong-Shin Kang
doaj   +1 more source

Establishing an enduring co-production platform in Aboriginal health

open access: yesPublic Health Research & Practice, 2022
Co‑production in Aboriginal health research builds on participatory, strength-based approaches where Aboriginal knowledge, expertise and priorities are valued and used to generate evidence to drive improvements in Aboriginal health and healthcare.
Sandra Bailey   +7 more
doaj   +1 more source

A NICER Thermonuclear Burst from the Millisecond X-Ray Pulsar SAX J1808.4–3658 [PDF]

open access: yesAstrophysical Journal, 2019
The Neutron Star Interior Composition Explorer (NICER) has extensively monitored the 2019 August outburst of the 401 Hz millisecond X-ray pulsar SAX J1808.4–3658.
P. Bult   +11 more
semanticscholar   +1 more source

SAX Navigator: Time Series Exploration through Hierarchical Clustering [PDF]

open access: yesVisual .., 2019
Comparing many long time series is challenging to do by hand. Clustering time series enables data analysts to discover relevance between and anomalies among multiple time series.
N. Ruta   +4 more
semanticscholar   +1 more source

A Boundary Distance-Based Symbolic Aggregate Approximation Method for Time Series Data

open access: yesAlgorithms, 2020
A large amount of time series data is being generated every day in a wide range of sensor application domains. The symbolic aggregate approximation (SAX) is a well-known time series representation method, which has a lower bound to Euclidean distance and
Zhenwen He   +3 more
doaj   +1 more source

Home - About - Disclaimer - Privacy