Results 31 to 40 of about 779 (142)

Knowledge Discovery and Diagnosis Using Temporal-Association-Rule-Mining-Based Approach for Threshing Cylinder Blockage

Agriculture, 2023
Accurately diagnosing blockages in a threshing cylinder is crucial for ensuring efficiency and quality in combine harvester operations. However, in terms of blockage diagnostic methods, the current state of affairs is characterized by model-based ...
Yehong Liu, Xin Wang, Dong Dai, Can Tang, Xu Mao, Du Chen, Yawei Zhang, Shumao Wang   +7 more
doaj   +1 more source

Side-Length-Independent Motif (SLIM): Motif Discovery and Volatility Analysis in Time Series—SAX, MDL and the Matrix Profile

Forecasting, 2022
As the availability of big data-sets becomes more widespread so the importance of motif (or repeated pattern) identification and analysis increases. To date, the majority of motif identification algorithms that permit flexibility of sub-sequence length ...
Eoin Cartwright, Martin Crane, Heather J. Ruskin   +2 more
doaj   +1 more source

Performance examination of symbolic aggregate approximation in IoT applications

CoRR
Symbolic Aggregate approXimation (SAX) is a common dimensionality reduction approach for time-series data which has been employed in a variety of domains, including classification and anomaly detection in time-series data. Domains also include shape recognition where the shape outline is converted into time-series data forinstance epoch classification ...
Suzana Veljanovska, Hans Dermot Doran
openaire   +2 more sources

Digital Surveillance Through an Online Decision Support Tool for COVID-19 Over One Year of the Pandemic in Italy: Observational Study

Journal of Medical Internet Research, 2021
BackgroundItaly has experienced severe consequences (ie, hospitalizations and deaths) during the COVID-19 pandemic. Online decision support systems (DSS) and self-triage applications have been used in several settings to ...
Alberto Eugenio Tozzi, Francesco Gesualdo, Emanuele Urbani, Alessandro Sbenaglia, Roberto Ascione, Nicola Procopio, Ileana Croci, Caterina Rizzo   +7 more
doaj   +1 more source

A Stock Trading Recommender System Based on Temporal Association Rule Mining

SAGE Open, 2015
Recommender systems capable of discovering patterns in stock price movements and generating stock recommendations based on the patterns thus discovered can significantly supplement the decision-making process of a stock trader.
Binoy B. Nair, V. P. Mohandas, Nikhil Nayanar, E. S. R. Teja, S. Vigneshwari, K. V. N. S. Teja   +5 more
doaj   +1 more source

A Real-Time Partitioning Method Considering the Spatial and Temporal Distribution Characteristics of Renewable Power System Frequency Response [PDF]

Dianli jianshe
The integration of renewable energy into the grid significantly influences the spatial and temporal distribution characteristics of system frequency response.
XU Yanchun, REN Jianxin, SONG Wenyu, XI Lei, MI Lu
doaj   +1 more source

Advanced UAV–WSN System for Intelligent Monitoring in Precision Agriculture

Sensors, 2020
The growing need for food worldwide requires the development of a high-performance, high-productivity, and sustainable agriculture, which implies the introduction of new technologies into monitoring activities related to control and decision-making.
Dan Popescu, Florin Stoican, Grigore Stamatescu, Loretta Ichim, Cristian Dragana   +4 more
doaj   +1 more source

Fast, Interpretable, and Deterministic Time Series Classification With a Bag-of-Receptive-Fields

IEEE Access
The current trend in the literature on Time Series Classification is to develop increasingly accurate algorithms by combining multiple models in ensemble hybrids, representing time series in complex and expressive feature spaces, and extracting features ...
Francesco Spinnato, Riccardo Guidotti, Anna Monreale, Mirco Nanni   +3 more
doaj   +1 more source

The Average Coding Length of Huffman Coding Based Signal Processing and Its Application in Fault Severity Recognition

Applied Sciences, 2019
The transient impact components in vibration signal, which are the major information for bearing fault severity recognition, are often interfered with by ambient noise.
Jiancheng Yin, Mingjia Lei, Huailiang Zheng, Yuantao Yang, Yuqing Li, Minqiang Xu   +5 more
doaj   +1 more source

Two-Phase Multivariate Time Series Clustering to Classify Urban Rail Transit Stations

IEEE Access, 2020
Consider the problem of clustering objects with temporally changing multivariate variables, for instance, in the classification of cities with several changing socioeconomic indices in geographical research.
Liying Zhang, Tao Pei, Bin Meng, Yuanfeng Lian, Zhou Jin   +4 more
doaj   +1 more source