Results 31 to 40 of about 483,582 (250)

Single and Multi-Sequence Deep Learning Models for Short and Medium Term Electric Load Forecasting

open access: yesEnergies, 2019
Time series analysis using long short term memory (LSTM) deep learning is a very attractive strategy to achieve accurate electric load forecasting. Although it outperforms most machine learning approaches, the LSTM forecasting model still reveals a lack ...
Salah Bouktif   +3 more
doaj   +1 more source

A nuclear ribosomal DNA phylogeny of Acer inferred with maximum likelihood, splits graphs, and motif analysis of 606 sequences [PDF]

open access: yes, 2006
The multi-copy internal transcribed spacer (ITS) region of nuclear ribosomal DNA is widely used to infer phylogenetic relationships among closely related taxa.
Guido W. Grimm   +7 more
core   +1 more source

Prediction Mechanism Based on Multi-dimensional Hidden States for Non-stationary Time Series [PDF]

open access: yesJisuanji gongcheng
Time series predicting is widely applicable in industrial production, financial decision-making, and early disaster warning. However, most existing methods primarily target stationary time series, failing to accurately capture the evolutionary ...
ZHANG Xiao, LI Deshi
doaj   +1 more source

A General Framework for Flight Maneuvers Automatic Recognition

open access: yesMathematics, 2022
Flight Maneuver Recognition (FMR) refers to the automatic recognition of a series of aircraft flight patterns and is a key technology in many fields. The chaotic nature of its input data and the professional complexity of the identification process make ...
Jing Lu, Hongjun Chai, Ruchun Jia
doaj   +1 more source

(Multiscale) Cross-Entropy Methods: A Review

open access: yesEntropy, 2019
Cross-entropy was introduced in 1996 to quantify the degree of asynchronism between two time series. In 2009, a multiscale cross-entropy measure was proposed to analyze the dynamical characteristics of the coupling behavior between two sequences on ...
Antoine Jamin, Anne Humeau-Heurtier
doaj   +1 more source

A method for predicting the time series of microseismic events in coal mines based on modal decomposition and deep learning

open access: yesMeitan xuebao
Microseismic monitoring data plays a crucial role in predicting and warning dynamic hazards such as coal mine rockburst. Utilizing historical microseismic monitoring data to forecast the evolution characteristics of future microseismic events is an ...
Changkun QIN   +7 more
doaj   +1 more source

Fine-tuning structural RNA alignments in the twilight zone [PDF]

open access: yes, 2010
Bremges A, Schirmer S, Giegerich R. Fine-tuning structural RNA alignments in the twilight zone. BMC Bioinformatics. 2010;11(1): 222.Background A widely used method to find conserved secondary structure in RNA is to first construct a multiple sequence ...
Bremges Andreas   +8 more
core   +1 more source

OrthoSelect: a protocol for selecting orthologous groups in phylogenomics [PDF]

open access: yes, 2009
Background: Phylogenetic studies using expressed sequence tags (EST) are becoming a standard approach to answer evolutionary questions. Such studies are usually based on large sets of newly generated, unannotated, and error-prone EST sequences from ...
Schreiber Fabian   +16 more
core   +1 more source

MCALIGN2: Faster, accurate global pairwise alignment of non-coding DNA sequences based on explicit models of indel evolution [PDF]

open access: yes, 2006
Background Non-coding DNA sequences comprise a very large proportion of the total genomic content of mammals, most other vertebrates, many invertebrates, and most plants. Unraveling the functional significance of non-coding DNA depends on how well we are
Johnson Toby   +8 more
core   +1 more source

Decomposition-Aware Framework for Probabilistic and Flexible Time Series Forecasting in Aerospace Electronic Systems

open access: yesMathematics
Degradation prediction for aerospace electronic systems plays a crucial role in maintenance work. This paper proposes a concise and efficient framework for multivariate time series forecasting that is capable of handling diverse sequence representations ...
Yuanhong Mao   +6 more
doaj   +1 more source

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