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

Security algorithm framework. by Ali Shahzad (15251641)

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Assignment of Hungarian Algorithm. by Yibin Zhang (1426579)

“…In this paper, a new tracking mechanism is proposed for real-time tracking, which is based on the 2D LiDAR data structure with the Simple Online and Real-Time Tracking (SORT) algorithm. …”

Algorithmic experimental parameter design. by Chuanxi Xing (20141665)

“…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …”

In this example the MPC algorithm perfectly tracks the noisy signal , which results in many false spikes. by Nicholas A. Rondoni (21573261)

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Algorithm detection steps. by José M. Rivera-Arbeláez (12418512)

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

“…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …”

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

Flowchart of DQN algorithm. by Jiandong Qiu (20389944)

Visual representation of how Cell-TRACTR uses track queries to track cells and detect divisions. by Owen M. O’Connor (11965460)

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Data Sheet 1_Algorithmic esthetics meets human intuition: the synergy of innovation and relevance shapes sustained attention.pdf by Wen Guan (5612195)

The data used for fitting the magnetic levitation ball experiment. by Ziwei Wu (11386352)

Risk element category diagram. by Yao Hu (3479972)

“…This article extracted features related to risk assessment, such as weather factors, airport facility inspections, and security check results, and conducted qualitative and quantitative analysis on these features to generate a datable risk warning weight table. This article used these data to establish an LSTM model, which trained LSTM to identify potential risks and provide early warning by learning patterns and trends in historical data. …”

Data for "Machine Learning-based Prediction of Passive Gears from Vessel Tracking Data in Small-Scale Multi-gear Fisheries" by Pamela Lattanzi (16454871)

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Example measurement and analysis units for landscape elements. by Jaewon Han (8660295)

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Comparison of clustering algorithms (K-Means, MeanShift, etc.) based on the average Silhouette Score. by Manju M. S. (22793350)

Introducing TRECEY: An algorithm for tremor compensation using eye-tracking during multimedia remote controller operation in Parkinson’s disease (PD) by Ritam Ghosh (17122404)

“…In this paper, we introduce TRECEY (TREmor Compensation using EYe-tracking), an algorithm to use eye-tracking data to stabilize the cursor movement of a multimedia remote controller. …”

A sinogram of the test sample before and after the dejitter algorithm. by Hannes Benecke (17409369)

“…(a): The uncorrected raw data, acquired with the tracking algorithm. The sinusoidal lines appear jittery due to the irregular wobble movements of the rotation stage. …”

Training data is a mix of straightforward and challenging cases. by Weheliye H. Weheliye (22022140)

Skeleton accuracy for test data subgroups and types of errors. by Weheliye H. Weheliye (22022140)