Top-rated mode of transport based on the SEU algorithm (SEU scores from 0 to 40). حسب Johannes Weyer (13392175)

Comparison of grayscale conversion algorithms. حسب Tianke Fang (22648035)

Comparison of noise reduction algorithms. حسب Tianke Fang (22648035)

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

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

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

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

Ranking of ML algorithms. حسب Yasemin Ayaz Atalan (21989402)

"…In obtaining forecast data, 15 variables were considered under the oil resources, environmental parameters, and economic factors which are the main parameters affecting renewable energy usage rates. The RF algorithm performed best with the lowest mean absolute percentage error (MAPE, 0.084%), mean absolute error (MAE, 0.035), root mean square error (RMSE, 0.063), and mean squared error (MSE, 0.004) values in the test dataset. …"

The overview of the ML algorithms’ flowchart. حسب Yasemin Ayaz Atalan (21989402)

"…In obtaining forecast data, 15 variables were considered under the oil resources, environmental parameters, and economic factors which are the main parameters affecting renewable energy usage rates. The RF algorithm performed best with the lowest mean absolute percentage error (MAPE, 0.084%), mean absolute error (MAE, 0.035), root mean square error (RMSE, 0.063), and mean squared error (MSE, 0.004) values in the test dataset. …"

Ranks of the algorithms for Friedman test of G-set dataset. حسب Md. Rafiqul Islam (403453)

الموضوعات:

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

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

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

الموضوعات:

The genome coding scheme. حسب Wenbing Shi (5806160)

الموضوعات:

Research data for paper: Efficient Event-based Delay Learning in Spiking Neural Networks حسب Balázs Mészáros (16890225)

"…Our method supports multiple spikes per neuron and introduces a delay learning algorithm that can, in contrast to previous methods, also be applied to recurrent Spiking Neural Networks. …"

Data on the prediction performances of ML algorithms. حسب Yasemin Ayaz Atalan (21989402)

Algorithmic experimental parameter design. حسب Chuanxi Xing (20141665)

"…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…"

Element model generation method with geometric distribution errors حسب 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. …"

Pseudo code. حسب Xuwei Liu (6034592)

"…In addition, the determination coefficients on the training and testing sets were 95.1% and 92.8%, and the accuracy was 92.3% and 91.4%. …"

Spatial spectrum estimation for three algorithms. حسب Chuanxi Xing (20141665)

"…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…"