Results 61 to 70 of about 20,272,779 (202)

Modeling the Dynamics of Forest Fires: A Vector Autoregressive Approach Across Three Fire Classifications

JTAM (Jurnal Teori dan Aplikasi Matematika)
The problem of forest fires is one that, with each passing year, gets more difficult to mitigate. A significant number of people will be affected by this case, particularly in terms of their health.
Nur'ainul Miftahul Huda, Nurfitri Imro'ah   +1 more
doaj   +1 more source

GMT: Gzip-based Memory-efficient Time-series classification

ICT Express
The deployment of embedded time-series sensing devices enabled better understanding of user environments and contexts. However, classifying them solely on extremely limited devices under data-scarce conditions is still a remaining challenge. We introduce
Sungmin Lee, Kichang Lee, JaeYeon Park, JeongGil Ko   +3 more
doaj   +1 more source

Multivariate Time Series Classification with Temporal Abstractions

, 2020
The increase in the number of complex temporal datasets collected today has prompted the development of methods that extend classical machine learning and data mining methods to time-series data.

core  

Timage – A Robust Time Series Classification Pipeline

, 2019
Time series are series of values ordered by time. This kind of data can be found in many real world settings. Classifying time series is a difficult task and an active area of research.
Riedhammer, Korbinian, Bayerl, Sebastian P., Schmidt, Jochen, Wenninger, Marc   +3 more
core   +1 more source

Anomaly Detection Algorithm Using a Hybrid Modelling Approach for Energy Consumption Time Series

, 2023
1930Many energy time series captured by real-time systems contain errors or anomalies that prevent accurate forecasts of time series evolution. However, accurate forecasting of load time series and fluctuating renewable energy feed-in as well as ...
Lenk, Steve, Richter, Lucas, Klaiber, Stefan, Bretschneider, Peter, Rippstein, Florian, Kummerow, Andre   +5 more
core   +1 more source

Estimation of missing data in a geophysical series of precipitation

, 2021
The analysis of dynamic systems is a topic of great interest in the basic sciences since it allows direct inference of the behavior of different systems. The study of physical phenomena provides large databases that, if recorded at regular time intervals,
GALLARDO PÉREZ, HENRY DE JESÚS, Vergel Ortega, Mawency, Rojas Suárez, Jhan Piero, H J Gallardo Pérez, J P Rojas Suárez, M Vergel Ortega   +5 more
core   +1 more source

Methodology for processing time series using machine learning [PDF]

, 2020
There are currently countless applications that can be cited in different areas of research and industry, where the data are represented in the form of time series.
Ospino, Cesar, Pineda Lezama, Omar Bonerge, Varela, Noel   +2 more
core   +1 more source

Z-Time: efficient and effective interpretable multivariate time series classification

, 2023
Multivariate time series classification has become popular due to its prevalence in many real-world applications. However, most state-of-the-art focuses on improving classification performance, with the best-performing models typically opaque ...
Panagiotis Papapetrou, Papapetrou, Panagiotis,, Lee, Zed,, Lindgren, Tony,, Tony Lindgren, Zed Lee   +5 more
core   +1 more source

Temporal–Variable Transformer With Adaptive Cross-Stream Gated Fusion for Multivariate Time Series Classification

IEEE Access
Multivariate time series classification (MTSC) is a fundamental yet challenging task in data mining, attracting increasing attention due to its wide range of real-world applications.
Lijuan Yan, Jiaqing Xiao
doaj   +1 more source

Discriminant analysis of multivariate time series using wavelets [PDF]

In analyzing ECG data, the main aim is to differentiate between the signal patterns of those of healthy subjects and those of individuals with specific heart conditions.
M. Andrés Alonso, Ann Elizabeth Maharaj
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