Data Sheet 1_Hybrid machine learning algorithms accurately predict marine ecological communities.pdf by Luciana Erika Yaginuma (10477013)

“…Data was analyzed by means of a hybrid machine learning (ML) approach, which combines unsupervised and supervised methods. …”

Optimal hyperparameters of the model-agnostic meta-learning algorithm with few-shot tasks. by Soraya Khanmohmmadi (21539953)

Coprime array with interpolated array elements. by Chuanxi Xing (20141665)

“…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …”

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

Federated averaging algorithm pseudocode. by Hadi Mohammadian KhalafAnsar (22783784)

IbM code graphical description by Irina Ofiteru (14716360)

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

The algorithm of the applied models. by Elif Tuçe Bal (21367965)

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Analysis of elements of emergency resource scheduling model in chemical industry park. by Yuhang Wang (332111)

Federated Mixture of experts Correction Algorithm. by Ruizhi Yuan (16864629)

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Federated Maximum Diversity Clustering Algorithm. by Ruizhi Yuan (16864629)

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Source Code for Comparative Study of Search Trees Implemented in Java by Mohammed Alaa Ala'anzy (21711464)

Comparison of machine learning algorithm results for N-gram + grayscale value frequency features. by Daowei Chen (9077770)

Comparison between Deep and Machine Learning algorithms (MAE and MSE lower the better) [25]. by Marco Alderighi (7195721)

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Comparison of machine learning algorithm results for N-gram + grayscale value frequency features. by Daowei Chen (9077770)

Multi-material topology optimization using scaled boundary finite element method by Mohammed Saif Zamiruddin Siddiqui (22384884)

“…<p>This work introduces the use of Scaled Boundary Finite Element Method (SBFEM) in Multi-Material Topology Optimization (MMTO) problems, which is new in the literature. …”

Statistic results between the proposed algorithm and other metaheuristic algorithms. by ZeSheng Lin (20501356)

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Data Sheet 2_Mitochondrial non-coding RNAs as novel biomarkers and therapeutic targets in lung cancer integration of traditional bioinformatics and machine learning approaches.csv by Liu Haoming (22524473)

“…Machine learning algorithms (SVM, Random Forest, Logistic Regression) classified samples using differentially expressed mtRNAs (P < 0.01, |log2FC| > 1). …”

Data Sheet 1_Mitochondrial non-coding RNAs as novel biomarkers and therapeutic targets in lung cancer integration of traditional bioinformatics and machine learning approaches.csv by Liu Haoming (22524473)

“…Machine learning algorithms (SVM, Random Forest, Logistic Regression) classified samples using differentially expressed mtRNAs (P < 0.01, |log2FC| > 1). …”

The proposed algorithm of the outlier detection method. by Sunil Kumar (102321)

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