Workflow of the developed simulation algorithm. by Arnab Mutsuddy (22146227)

Overall framework of our proposed tracking algorithm. by Yi Tao (178829)

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

Visualization of tracking results of SiamFC_TDA algorithm and comparison algorithm on challenging sequences. by Yi Tao (178829)

Performance of the proposed tracking algorithm and comparison algorithms in three datasets. The higher the metrics, the better. by Yi Tao (178829)

Results of different algorithms for ship detection and tracking. by Guoqing Zhang (151441)

Subjects:

Figures of NEXT STEPS IN THE DEVELOPMENT OF PCA-NN MODEL FOR THE IONOSPHERE: DIFFERENT PARAMETERS, REGIONS, NN ALGORITHMS AND IMPUT PARAMETERS by Sara Garcia (22419613)

Plot comparing the circular tracking errors of the three algorithms. by Xiaosong Liu (66661)

The structure of FasterNext. by Junjie Lu (160350)

“…<div><p>The rapid development of Internet of Things (IoT) technology and deep learning has propelled the deployment of vision-based fire detection algorithms on edge devices, significantly exacerbating the trade-off between accuracy and inference speed under hardware resource constraints. …”

Plot comparing the circular angle tracking performances of the three algorithms. by Xiaosong Liu (66661)

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

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. …”

Performance of SiamFC_TDA algorithm and comparison algorithm on UAV123. by Yi Tao (178829)

Performance of SiamFC_TDA algorithm and comparison algorithm on TC-128. by Yi Tao (178829)

Parameters of the FasterNext and C3. by Junjie Lu (160350)

“…<div><p>The rapid development of Internet of Things (IoT) technology and deep learning has propelled the deployment of vision-based fire detection algorithms on edge devices, significantly exacerbating the trade-off between accuracy and inference speed under hardware resource constraints. …”

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

Performance of SiamFC_TDA algorithm and comparison algorithm on UAV20L. by Yi Tao (178829)

Security algorithm framework. by Ali Shahzad (15251641)

Subjects:

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

Precision plots of SiamFC_TDA algorithm and comparison algorithm on UAV123 for each challenge attribute. by Yi Tao (178829)