LSTM auto encoder algorithm illustration. by Hao Zhang (15339)

“…To address these challenges, this paper proposes a method called LADSVM(Long Short-Term Memory + Autoencoder-Decoder + SVM). Firstly, the log parsing algorithm is used to parse the logs. …”

RF classification algorithm comparison before and after dataset expansion. by Chao Tang (10925)

Comparison of resnet classification algorithm before and after dataset expansion. by Chao Tang (10925)

Algorithmic experimental parameter design. by Chuanxi Xing (20141665)

“…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…”

Comparison of ResNet Classification Algorithm Expansion Experiments with Similar Data Enhancement Models. by Chao Tang (10925)

Spatial spectrum estimation for three algorithms. by Chuanxi Xing (20141665)

“…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…”

Normalized Load and Price Data (First Week of October 2024). by Nasir Nauman (22272299)

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Search algorithm performance comparison. by Zhaohui Du (414105)

Flowchart of algorithm principles. by Wenjuan Zhou (115285)

“…First, the Lasso algorithm and Pearson correlation coefficient method are applied to screen key multi-source features from wind turbine operation and maintenance data, quantifying their dynamic correlations with power output. …”

Decompression algorithm for the proposed HSCRC encoding. by R. Sakthivel (2589547)

The run time for each algorithm in seconds. by Edward Antonian (21453161)

“…The goal of this paper is to examine several extensions to KGR/GPoG, with the aim of generalising them a wider variety of data scenarios. The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. …”

Impact of multiunit merging on neural information encoding. by Daniel Suárez-Barrera (22676654)

Scatter diagram of different principal elements. by Jizhong Wang (7441697)

“…<div><p>A fault diagnosis method for oil immersed transformers based on principal component analysis and SSA LightGBM is proposed to address the problem of low diagnostic accuracy caused by the complexity of current oil immersed transformer faults. Firstly, data on dissolved gases in oil is collected, and a 17 dimensional fault feature matrix is constructed using the uncoded ratio method. …”

Optimal Channel Encoding/Decoding Algorithm Design with MATLAB by Saraf Mohaimen Chowdhury (21977243)

“…<p dir="ltr">An optimal channel encoding and decoding algorithm has been designed and implemented in MATLAB to improve data transmission efficiency and adaptability in communication systems.…”

The method for determining the chemical constituents of unknown materials in the algorithm. by Dong Hyeok Choi (12562048)

ISO-NE Load Data (January 2024–October 2024). by Nasir Nauman (22272299)

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Model Performance Comparison on European and Asian Electricity Market Data. by Nasir Nauman (22272299)

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ISO-NE Price Data (January 2024–October 2024). by Nasir Nauman (22272299)

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Raw performance data for the first algorithm shown in Fig 9. by Weilun Wang (21559389)

“…<p>Raw performance data for the first algorithm shown in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0328223#pone.0328223.g009" target="_blank">Fig 9</a>.…”

Data Sheet 1_A novel lossless encoding algorithm for data compression–genomics data as an exemplar.pdf by Anas Al-okaily (20601458)

“…In this study, a novel encoding algorithm is proposed, motivated by the compression of DNA data and associated characteristics. …”