Algorithm: MAML with CL-selector. by Zhejun Sun (9873500)

Algorithm: Pre-fine-tuning. by Zhejun Sun (9873500)

Algorithm: CL-selector initialization. by Zhejun Sun (9873500)

Ten test sets of data. by Hao Cao (2248066)

“…The robust capability of the VMD-BILSTM-AEAM algorithm to accurately process and analyze time-series data, even in the presence of noise, highlights its potential for broader applications in predictive maintenance and fault detection across various domains.…”

Data Sheet 1_Exploring immune-inflammation markers in psoriasis prediction using advanced machine learning algorithms.pdf by Li Yang (6520)

“…</p>Conclusions<p>Among all the tested algorithms, the gradient boosting model achieved the best performance. …”

Data and code used in this article. by Feng Shen (151470)

Subjects:

The effect of test set size and number of nodes on the values of confusion matrix using SVM combined with the uniform window. by Abeer Aljohani (18497914)

Data used in this study. by Qinghua Li (398885)

“…To overcome these shortcomings, this paper cites an improved SSA search algorithm that incorporates the ingestion strategy of the FA algorithm to increase the diversity of solutions and global search capability, the Firefly Algorithm-based Sparrow Search Optimization Algorithm (FA-SSA algorithm) is introduced. …”

Solar irradiance dataset. Weather dataset used in this study. by Muhammad Sadiq (9449915)

Proposed hybrid GA- ML algorithms. by Ankur Kumar (1357440)

Subjects:

Proposed GA-ML algorithms pseudocode. by Ankur Kumar (1357440)

Subjects:

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. …”

Proposed pipeline for the training and testing using the four datasets. by Yubraj Gupta (7465394)

Subjects:

Comparison of the selected predictive models’ performance using the training test set. by Fatima Zahra Rhmari Tlemçani (22319928)

Subjects:

Evaluation of classification models using ROC curves, for testing and cross-validation. by Aline Xavier Ferraz (19544919)

Convergence curve of sparrow search algorithm. by Yue Guo (695495)

Flowchart data balancing algorithm (SMOTE). by Xiangting Shi (21439579)

“…This article presents the Regularised Memory Graph Attention Capsule Network (RMGACNet), an original architecture aiming at improving fraud detection using Bidirectional Long Short-Term Memory (BiLSTM) networks combined with advanced feature extraction and classification algorithms. …”

Test MCAR vs. MAR. by Jürgen Kampf (21354027)

Subjects:

TreeMap 2016 Forest Type Algorithm (Image Service) by U.S. Forest Service (17476914)

“…We used a random forests machine-learning algorithm to impute the forest plot data to a set of target rasters provided by Landscape Fire and Resource Management Planning Tools (LANDFIRE: https://landfire.gov). …”

Algorithm for the proposed work. by Shuvo Biswas (21728782)

“…All models were then tested in an FL platform to maintain data privacy. …”