ECG lead-based algorithm diagram. by Pauline Guyot (8566470)

Subjects:

The speed of anchor-based algorithms. by Olarewaju Mubashiru Lawal (14710251)

Data Sheet 2_Research on optimization of emergency supplies customs clearance strategy from the perspective of public health security based on Chinese trade data.zip by Xia Zheng (384416)

Data Sheet 1_Research on optimization of emergency supplies customs clearance strategy from the perspective of public health security based on Chinese trade data.zip by Xia Zheng (384416)

Computational cost of anchor-based algorithms. by Olarewaju Mubashiru Lawal (14710251)

Performance values of ECG-based detection algorithm at an AHI threshold of 15/h compared to gold standard polysomnography. by Pauline Guyot (8566470)

Subjects:

S1 Data - An improved YOLOv8s-based UAV target detection algorithm by Xinwei Wang (352488)

Improve algorithm settings. by Hui Zhao (7395)

Subjects:

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

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

The speed of anchor-free algorithms. by Olarewaju Mubashiru Lawal (14710251)

Performance of machine learning algorithms. by Wenxue Liu (6877754)

Bias value of TST between polysomnography and the ECG-based detection algorithm for different classes of: (i) severity of AHI, (ii) reliability index. by Pauline Guyot (8566470)

Subjects:

Bias value of AHI between polysomnography and the ECG-based detection algorithm for different classes of: (i) severity of AHI, (ii) reliability index. by Pauline Guyot (8566470)

Subjects:

Ranking of ML algorithms. by 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 flowchart of QLDE algorithm. by Guanqun Wang (705958)

“…This paper proposes a customer segmentation framework within the realm of digital marketing, which integrates a reinforcement learning-based differential evolution algorithm with <i>K</i>-means clustering using dimensionality reduction techniques to address challenges in the customer segmentation process. …”

Computational cost of anchor-free algorithms. by Olarewaju Mubashiru Lawal (14710251)

The overview of the ML algorithms’ flowchart. by 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. …”

Schematic diagram of <i>K</i>-means algorithm. by Guanqun Wang (705958)

“…This paper proposes a customer segmentation framework within the realm of digital marketing, which integrates a reinforcement learning-based differential evolution algorithm with <i>K</i>-means clustering using dimensionality reduction techniques to address challenges in the customer segmentation process. …”

Abbreviations used in the algorithm. by Richa Jain (6550391)