Block diagram of the Kalman filter algorithm with uncorrelated measurement noise. by Shu WU (20721527)

Excerpts from the raw acquired data set with the tracking algorithm. by Hannes Benecke (17409369)

Prediction of pharmaceuticals occurrence based on sales data and Machine learning algorithms. by Júlia Bijos (14489543)

“…</p><p dir="ltr"><b>Antibioticos/Carbamazepina</b>: contains the main codes of the prediction models to classify the occurrence concentrations of some antibiotics and Carbamazepine, by tree boosting algorithms.</p><p dir="ltr"><b><u>Sensitivity Analysis</u></b></p><p dir="ltr"><b>cargas25_50_75_AS:</b> contains the pre processed updated dataset of pharmaceuticals sales data for the 3 scenarium conditions.…”

Confusion Matrix for Subspace algorithm (3000 Learning Cycles) providing insight into the performance evaluation of Subspace algorithm. by Sadia Nazim (21440115)

Filtered Labels after applying the data preparation algorithms. by Tanjim Taharat Aurpa (11250554)

Flowchart of the general algorithm for one trial. by Junying Wang (509009)

Optimization process of the DGN method. by Shangyang Jin (21772466)

Subjects:

The process of the optimization (NSGA-Ⅱ). by Shangyang Jin (21772466)

Subjects:

The process of the optimization (NSGA-Ⅱ). by Shangyang Jin (21772466)

Subjects:

Performance comparison of different adoption algorithms in XGBoost model. by Wenguang Li (6528113)

Subjects:

GenSearch algorithm. by Tarun Khajuria (12117309)

Subjects:

Comparison of segmentation accuracy of different segmentation algorithms. by Shinan Ding (20783580)

Subjects:

Data after data processing. by Jiaqi Wang (369548)

Illustration of the training algorithm for the sPHMM. by Tianshu Li (1527088)

Summary of the metrics of the different trained algorithms that performed best in the Testing process for each dataset. by Jaime B. Matas-Bustos (21772430)

Dynamic window based median filtering algorithm. by Li Yuan (102305)

“…Therefore, the study proposes a signal automatic modulation classification model based on fixed K-mean algorithm and denoising autoencoder. …”

Flow chart of the EDR estimation algorithm. by Hongping Wei (196994)

“…This process generates feature fusion weights, which are mapped onto the three-dimensional wind matrix and used to convert the three-dimensional wind data into one-dimensional wind data, thereby achieving the fusion of three-dimensional wind features. …”

Schematic of the directed network flow entropy (DNFE) algorithm. by Xueqing Peng (10678527)

The process of the optimization (NSGA-Ⅱ+ NLPQL). by Shangyang Jin (21772466)

Subjects:

Comparison of average fitting errors for the three algorithms. by Xiaobing Chen (572034)

Subjects: