Results 41 to 50 of about 27,804 (170)

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

Finding the Minimum-Weight k-Path [PDF]

, 2013
Given a weighted $n$-vertex graph $G$ with integer edge-weights taken from a range $[-M,M]$, we show that the minimum-weight simple path visiting $k$ vertices can be found in time $\tilde{O}(2^k \poly(k) M n^\omega) = O^*(2^k M)$.
B. Monien, F. Ergün, H. Abasi, I. Koutis, I. Koutis, J. Kneis, N. Alon, R. Williams, U. Zwick   +8 more
core   +1 more source

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

One-Step or Two-Step Optimization and the Overfitting Phenomenon: A Case Study on Time Series Classification [PDF]

, 2014
For the last few decades, optimization has been developing at a fast rate. Bio-inspired optimization algorithms are metaheuristics inspired by nature.
Fuad, Muhammad Marwan Muhammad
core   +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

Symbolic models for nonlinear control systems affected by disturbances

, 2012
In the last few years there has been a growing interest in the use of symbolic models for the formal verification and control design of purely continuous or hybrid systems.
Borri, Alessandro, Di Benedetto, Maria Domenica, Pola, Giordano   +2 more
core   +1 more source

Symbolic Models for Stochastic Switched Systems: A Discretization and a Discretization-Free Approach [PDF]

, 2014
Stochastic switched systems are a relevant class of stochastic hybrid systems with probabilistic evolution over a continuous domain and control-dependent discrete dynamics over a finite set of modes.
Abate, Alessandro, Girard, Antoine, Zamani, Majid   +2 more
core   +3 more sources

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