Comparison of inference speed and model size for different tracking algorithms. by Yinghong Xie (22319875)

“…<p>Comparison of inference speed and model size for different tracking algorithms.</p>…”

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

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

Folder with all data and algorithms by Jorge Servert Lerdo de Tejada (22290001)

Flow chart for the proposed airship trajectory tracking control algorithm. by Muhammad Wasim (8319120)

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

Linear single-track dynamics model. by Tuan Anh Nguyen (121944)

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

Local search diagram based on crow tracking and anti-tracking behavior. by Lihong Han (7280045)

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)

Comparison of tracking performance of different methods. by Guofeng Qin (11025170)

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Yaw angle tracking performance comparison, showing similar tracking performance. by Nardos Belay Abera (19832190)

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Algorithm flowchart of OFEO. by Wenshun Sheng (21485393)

“…Again, addressing the limitations of traditional Kalman filtering in nonlinear motion trajectory prediction, a novel adaptive forgetting Kalman filter algorithm (FSA) is devised to enhance the precision of model prediction and the effectiveness of parameter updates to adjust to the uncertain movement speed and trajectory of pedestrians in real scenarios. …”

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

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

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The genome coding scheme. by Wenbing Shi (5806160)

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The iterative curves of the algorithms. by Qinghe Guo (21519322)

“…To address these challenges, a fractional-order PID (FOPID) controller optimization method based on the Multi-Strategy Improved Beluga Whale Optimization (MSIBWO) algorithm is proposed. Simulation results in MATLAB/Simulink demonstrate that the MSIBWO-FOPID controller significantly outperforms traditional PID and BWO-FOPID controllers in force tracking and robustness. …”

Block diagram representation of proposed USMC algorithm. by Muhammad Wasim (8319120)

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Pitch angle tracking performance, highlighting the tracking response of the proposed controller compared to other controllers. by Nardos Belay Abera (19832190)

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