Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code by Goutami Sooda (20714729)

Results of multi-view combined experiments. by Tao Yu (176965)

Data and code resources. by Sam Hall-McMaster (10343795)

(A) Model 1: Crossover of genes screened by SVM-RFE and Degree algorithms. (B) Model 2: Crossover of genes screened by SVM-RFE and Betweenness algorithms. (C-D) Model 1 and Model 2... by Qingcong Zheng (11169094)

Classification performances of Ensemble (Subspace KNN), SVM, and KNN algorithms when trained with time domain HbO features. by Ayşenur Eser (21713911)

The parameter setting of the evolutionary neural network. by Wenbing Shi (5806160)

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The genome coding scheme. by Wenbing Shi (5806160)

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Flowchart of DQN algorithm. by Jiandong Qiu (20389944)

Comparison of different algorithms. by Jiandong Qiu (20389944)

The optimal number of clusters identified using the GMM clustering algorithm. by Dinh K. Tang (20469082)

Optimal number of clusters identified using the GMM clustering algorithm. by Dinh K. Tang (20469082)

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

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Codes for "<b>A coherent power-load optimization algorithm for wind-farm-level yaw control considering wake effects via deep neural network</b>" by Yize Wang (19535173)

“…<p dir="ltr">Codes for "<b>A coherent power-load optimization algorithm for wind-farm-level yaw control considering wake effects via deep neural network</b>"</p>…”

Classification performances of Ensemble, SVM, and kNN algorithms. For each performance metric, the mean value across all runs and standard deviation of the mean value is reported i... by Ayşenur Eser (21713911)

code_4 by Olga Ovtsarenko (20432033)

Flowchart of faults identification and location algorithms. by Mohammed Youssef (8691402)

The genetic algorithm. by Viktoria Zemliak (19500335)

Comparison of methods for balancing data in SVM. by Xinyi Wei (2973381)

“…To address the data imbalance issue, SMOTE-ENN is utilized, and five machine learning algorithms—Decision Trees, KNN, SVM, XGBoost, and Random Forest—are applied for classification tasks. …”

Risk element category diagram. by Yao Hu (3479972)

Temporal response patterns determined by Dirichlet Process-based clustering algorithm across amplitudes and stimuli. by Dinh K. Tang (20469082)