Supporting data for "Interpreting complex ecological patterns and processes across differentscales using Artificial Intelligence" by Yifei Gu (9507104)

The process of FL. by Pan Wang (198097)

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Pseudo-code for the study design model. by Jianpeng Zhang (528185)

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Improved DAE based on LSTM. by Li Yuan (102305)

“…Therefore, the study proposes a signal automatic modulation classification model based on fixed K-mean algorithm and denoising autoencoder. …”

File includes code "Transfer learning.R" and "updatebeta.cpp" for implementing transfer learning methods. by Lulu Pan (8977979)

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Satellite laser ranging experiment results. by Jinyu Wang (381467)

“…To address these problems, we propose a new, efficient real-time SLR data processing method. This algorithm combines single-stage filtering with a histogram-based approach and incorporates polynomial fitting to establish a predictive model. …”

Flow of the experiments. by Rodrigo Gutiérrez Benítez (19746443)

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Groupwise comparison of formalin- and PBS-injected mice’s DRN activity using ROI algorithm and whole frame averages. by Virgil Christian Garcia Castillo (19688355)

Subjects: “…interest determination algorithm…”

Comparison of transfer model results of one flood process. by Qun Zhao (603175)

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Strong-noise pixel denoising process schematic. by Haiyan Zhang (176919)

“…This algorithm begins by evaluating the noise content of pixels to be denoised based on their temporal and spatial stability, classifying them into strong noise, weak noise, and noise-free pixels. …”

Weak-noise pixel denoising process schematic. by Haiyan Zhang (176919)

“…This algorithm begins by evaluating the noise content of pixels to be denoised based on their temporal and spatial stability, classifying them into strong noise, weak noise, and noise-free pixels. …”

Predictions from a Universal Value Function Approximator (UVFA) algorithm. by Sam Hall-McMaster (10343795)

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Hair removal preprocessing using the DullRazor algorithm before image generation. by Mujung Kim (22367223)

Prediction of pharmaceuticals occurrence based on sales data and Machine learning algorithms. by Júlia Bijos (14489543)

“…<p dir="ltr"><b>anvisa2014_2020</b>: This is a pre processed data from the sales data of industrial pharmaceuticals from SNGPC, Brazil's data.…”

Data process. by Maeva El Bouchikhi (20442436)

“…They highlighted an important number of ethical issues which could be grouped into five overarching categories: goal relevance, adverse side effects, role of employees, data process, and vagueness. Their inputs were remarkably coherent with the issues highlighted in the academic literature. …”

G R code algorithm. by R. Sakthivel (2589547)

“…The algorithm was developed and coded in Verilog and simulated using Modelsim. …”

S1 Code - by Jialiang Zhang (1574704)

“…After obtaining the fault features, a multi-fault classifier is designed based on the LSSVM. In order to improve the training speed and reduces storage, a simplified LSSVM model is used to construct the classifier, and the conjugate gradient algorithm is used for training. …”

QQESPM-GS - Codes and Data by Carlos Pontes (20835533)

“…<p dir="ltr">Codes and Data for the algorithms, methods and experiments presented in the paper titled "QQESPM-GS: an Efficient Solution for Geo-textual Search Parameterized by Graph-based Spatial Patterns".…”

Algorithm process. by Wei Cui (92129)

Pearson correlation for the DiSCo experiments: by Thomas Durantel (20933812)

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