The update process of the structure centers on the Football network when initialized by Algorithm 1. by Bing Guo (25387)

Path data for different algorithms in four different environments. by Tengfei Ma (597633)

Subjects:

Evaluation of model aggregation algorithms. by JiaMing Wang (334865)

“…To address these challenges, this paper proposes a federated learning-based intrusion detection algorithm (NIDS-FGPA) that utilizes gradient similarity model aggregation. …”

Comparison of homomorphic encryption algorithms. by JiaMing Wang (334865)

“…To address these challenges, this paper proposes a federated learning-based intrusion detection algorithm (NIDS-FGPA) that utilizes gradient similarity model aggregation. …”

ML algorithms in cyber security. by Abdullah Asım Yılmaz (20715311)

Comparative analysis of off-policy PPO algorithm and on-policy algorithm on the a) CSMAR and b) MorningStar datasets. by Cai Yuanqing (22513351)

Table1_Updating assembly parameters for spacecraft assembly process state changes: based on data fusion method.docx by Yue Liu (292931)

“…Therefore, to obtain assembly parameters accurately and efficiently under different assembly states, in this study, 3D point cloud data and fiber optic sensor data were fused to develop an assembly parameter update method for assembly process state changes. …”

The actual training effect of four algorithms on original photo data (All images are original images taken by the author). by Xiaojun Wang (50332)

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Two-step algorithm for updating the template. by Yuki Kimura (199693)

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

“…</p><p dir="ltr"><b>Antibioticos/Carbamazepina</b>: contains the main codes of the prediction models to classify the occurrence concentrations of some antibiotics and Carbamazepine, by tree boosting algorithms.</p><p dir="ltr"><b><u>Sensitivity Analysis</u></b></p><p dir="ltr"><b>cargas25_50_75_AS:</b> contains the pre processed updated dataset of pharmaceuticals sales data for the 3 scenarium conditions.…”

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. …”

Ablation comparison experimental data. by Tengfei Ma (597633)

Subjects:

Box plot of ablation experiment data. by Tengfei Ma (597633)

Subjects:

Comparative analysis of computational efficiency across various hyperparameter optimization algorithms on the CSMAR and MorningStar datasets. by Cai Yuanqing (22513351)

R project including metadata update. by Frederik Stein (22146203)

“…These problems appear to stem from both algorithmic limitations and deficiencies in submission and post-submission processes. …”

Minimal data set. by Peiwen Zhang (1863202)

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Solving process of gradient-based search. by Tarun Khajuria (12117309)

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Algorithm process. by Wei Cui (92129)

Bayesian network after updating using EM algorithm. by Wenjun Liao (307491)

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