Results 131 to 140 of about 40,844,823 (304)
Time series data multi-scale missing value imputation
大数据Due to the widely available missing data in data, missing value imputation has become an extremely important issue in data processing. Equipment health management, such as fault diagnosis, life prediction, and early detection of weak faults, relies on ...
Wang Zhijie +6 more
doaj
BarekengThe Fuzzy Time Series (FTS) was first studied by Song and Chissom based on the theory of fuzzy sets and the concept of linguistic variables and their applications discovered by Zadeh. FTS has several models, namely FTS Lee, FTS Tsaur, and so on.
Septri Damayanti +4 more
doaj +1 more source
FEBS Open Bio, EarlyView.RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz +6 more
wiley +1 more source
Multiple imputation of time series: an application to the construction of historical price indexes [PDF]
Time series in many areas of application, and notably in the social sciences, are frequently incomplete. This is particularly annoying when we need to have complete data, for instance to compute indexes as a weighted average of values from a number of ...
Tusell Palmer, Fernando Jorge
core
Analysis and fault detection in internet traffic data with time series analysis and NLP approches.
, 2023 reservedTelecommunication companies have several transmission systems scattered over the territories that use Internet services. These transmission systems are subject to malfunctions that must be recognized in order to be resolved as quickly as possible.
SCANU, ANDREA
core
Adaptive Diversified Visual Exploration for Time Series Data
IEEE AccessExploring time series data to visually extract interesting insights is an essential yet challenging task due to the high dimensionality and complexity of such data. We focus on cross-dissimilarities among time series subsequence pairs.
Heba Helal +2 more
doaj +1 more source
Versatile vector tools for efficient protein screening across multiple expression systems
FEBS Open Bio, EarlyView.A unified vector toolkit enables rapid protein expression screening across E. coli, insect, and mammalian cells. A single primer pair amplifies the target gene, which is inserted into any vector via a standardized interface. This streamlined workflow eliminates repeated cloning steps, accelerating the identification of optimal expression conditions for
Zhimin Zhu +5 more
wiley +1 more source
Robust exponential smoothing of multivariate time series. [PDF]
Multivariate time series may contain outliers of different types. In presence of such outliers, applying standard multivariate time series techniques becomes unreliable. A robust version of multivariate exponential smoothing is proposed.
Croux, Christophe +2 more
core
Detecting ‘Lifestates’ From Digital Footprint Time Series Data
International Journal of Population Data ScienceIntroduction & Background As digital footprints data continue to grow in complexity and volume, understanding and summarising large, high-dimensional time series is becoming increasingly important for analysing behavioural patterns.
Sam Smith, Gavin Smith, John Harvey
doaj +1 more source
Molecular characterization of covRS mutations in M1UK Streptococcus pyogenes
FEBS Open Bio, EarlyView.Group A Streptococcus (GAS) acquires covRS mutations driving a hypervirulent bacterial state, frequently associated with invasive disease‐like necrotizing fasciitis. We demonstrate that the newly emerged M1UK GAS lineage can also acquire these mutations.
Jarrad Pritchard +12 more
wiley +1 more source