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Improved Particle Swarm Optimization for Sea Surface Temperature Prediction

Energies, 2020
The Sea Surface Temperature (SST) is one of the key factors affecting ocean climate change. Hence, Sea Surface Temperature Prediction (SSTP) is of great significance to the study of navigation and meteorology.
Qi He +6 more
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MIDAS: Computer application for the identification of exact and inaccurate microsatellites in genomic sequences

Revista Cubana de Informática Médica, 2019
Microsatellites are tandem repeat, frequent and diverse short sequences in the genomes of all species, constituting important markers in multiple areas of genomics-based research.
Carlos M. Martínez Ortiz
doaj

NSPLformer: exploration of non-stationary progressively learning model for time series prediction

Scientific Reports
Although Transformers perform well in time series prediction, they struggle when dealing with real-world data where the joint distribution changes over time.
Sun Jiaxing, Li Yanhui, Zhao Yuying
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BiLSTM-MLAM: A Multi-Scale Time Series Prediction Model for Sensor Data Based on Bi-LSTM and Local Attention Mechanisms

Sensors
This paper introduces BiLSTM-MLAM, a novel multi-scale time series prediction model. Initially, the approach utilizes bidirectional long short-term memory to capture information from both forward and backward directions in time series data. Subsequently,
Yongxin Fan, Qian Tang, Yangming Guo, Yifei Wei +3 more
doaj +1 more source

MDC-Analyzer: A novel degenerate primer design tool for the construction of intelligent mutagenesis libraries with contiguous sites

BioTechniques, 2014
Recent computational and bioinformatics advances have enabled the efficient creation of novel biocatalysts by reducing amino acid variability at hot spot regions.
Lixia Tang +5 more
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A flying ad-hoc network dataset for early time series classification of grey hole attacks

Scientific Data
Flying ad-hoc networks (FANETs) consist of multiple unmanned aerial vehicles (UAVs) that rely on multi-hop routes for communication. These routes are particularly susceptible to grey hole attacks, necessitating swift and accurate defence to preserve the ...
Charles Hutchins +3 more
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Evaluating the specificity of flavivirus proteases in Aedes aegypti cells for dengue virus 2-derived cleavage sites.

PLoS ONE
Flaviviruses are a diverse group of RNA viruses known for their significant impact on human health worldwide. We generated a series of reporters that included cleavage sequences from the dengue virus type 2 polyprotein and co-transfected with plasmids ...
Alexius O Dingle, Zach N Adelman
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Decoupling dipolar interactions in dense spin ensembles

Physical Review Research
Dense spin ensembles in solids present a natural platform for studying quantum many-body dynamics. Multiple-pulse coherent control can be used to manipulate the magnetic dipolar interaction between the spins to engineer their dynamics.
Linta Joseph +2 more
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The impact of spike timing precision and spike emission reliability on decoding accuracy

Scientific Reports
Precisely timed and reliably emitted spikes are hypothesized to serve multiple functions, including improving the accuracy and reproducibility of encoding stimuli, memories, or behaviours across trials.
Wilten Nicola, Thomas Robert Newton, Claudia Clopath +2 more
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Short Term Steel Plant Load Forecasting Based on Multi Sequence LSTM Recurrent Neural Network and Self‐Organizing Neural Network

The Journal of Engineering
Due to the complex patterns, numerous influencing factors, strong temporal characteristics, and mostly nonlinear relationships of power load in steel enterprises, it has become a hot research topic in recent years.
Zhiwei Wang +4 more
doaj +1 more source

medicine
deep learning
time series