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

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

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

Calculation algorithm implementing the proposed model. by Landry Djopkop Kouanang (17131748)

Calculation algorithm implementing the proposed model. by Landry Djopkop Kouanang (17131748)

Metrics of the complex network algorithm. by Xumei Pan (21464351)

“…In this study, the travel diaries of 4,306 tourists were employed as the primary data source, and the Louvain algorithm was applied to identify tourist flow networks with different motives; moreover, the complex network method was utilized to analyze the hierarchical structure and heterogeneity of the organizational patterns of tourist flow networks with different motives. …”

Scatter diagram of different principal elements. by Jizhong Wang (7441697)

Computational complexity indicators of the four models. by Dayu Zhang (710629)

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

Subjects:

Structure diagram of elastic FA algorithm optimized filter adaptive PID control. by Guangwei Liu (181992)

The genome coding scheme. by Wenbing Shi (5806160)

Subjects:

Graph showing the tracking errors of the three control algorithms under noise. by Xiaosong Liu (66661)

Control parameters of the SOMA algorithm. by Quoc Bao Diep (18452207)

“…Our method enables UAVs to autonomously generate safe and efficient paths in real-time, adapt to dynamic changes, and scale to large swarms without relying on centralized control. Simulation results across three scenarios-including a complex environment with ten UAVs and multiple obstacles-demonstrate the effectiveness of our approach. …”

Datasets for "Optimising Complexity and Learning for Photonic Reservoir Computing with Gain-Controlled Multimode Fibres" by Giulia Marcucci (21709711)

Convergence curve of the DBO algorithm. by Ma Haohao (22177538)

“…The improved Dung Beetle Optimization algorithm, Back Propagation Neural Network, Finite Element Analysis, and Response Surface Methodology provide a strong guarantee for the selection of robot polishing process parameters. …”

Descriptive statistics of algorithms. by Fizza Shafique (19996292)

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Chart showing the target tracking performances of the three control algorithms under noise. by Xiaosong Liu (66661)

Element model generation method with geometric distribution errors by Yiqi Liu (21357815)

“…The product surface geometric distribution error is directly attached to the element nodes of the product ideal element model using the error surface reconstruction method and the replacement algorithm of the element node vector height based on the product’s point cloud data. …”

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)