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

Local Means Thresholding Algorithm shows high robustness. by Araven Tiroumalechetty (17827252)

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

Training and Testing Set for HRDsig Algorithm Development. by Wenshu Li (762627)

BER comparison among PSM-based feedback algorithm, SBF algorithm, and perfect CSI using Monte-Carlo simulation. by Sarmad Sohaib (21273402)

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The robustness test results of the model. by Xini Fang (20861990)

Risk element category diagram. by Yao Hu (3479972)

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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Folder with all data and algorithms by Jorge Servert Lerdo de Tejada (22290001)

Evaluating the robustness of GNNs compared to benchmarks (A) and their required training time (B). by Daniel Walke (21680915)

A robust privacy-preserving online monitoring algorithm for disease surveillance by Miaomiao Yu (519470)

“…To achieve disease surveillance in a timely and privacy-preserving manner, we develop an online monitoring algorithm based on differential privacy. …”

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)

Additional file 1 of Development of robust machine learning models to estimate hydrochar higher heating value and yield based upon biomass proximate analysis by Guoliang Hou (4016513)

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

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

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>…”

Robust control scheme. by Tuan Anh Nguyen (121944)

“…This article presents the design of a hybrid self-learning algorithm to address the above challenges. The proposed approach is developed by integrating fuzzy logic and neural network structures into an Adaptive Network-Based Fuzzy Inference System (ANFIS), which leverages the strengths of both components. …”

code_4 by Olga Ovtsarenko (20432033)