Algorithm stages for the clustering phase. by Julien Roche (611898)

“…We developed such a method for genotype calling from SNP arrays, and we implemented it in the R package named GenoTriplo. Our method requires no prior information on cluster positions and remains unaffected by shifted luminescence signals. …”

Plant parameter [40]. by Nardos Belay Abera (19832190)

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Alignment of quadcopter reference frames, showing the alignment between body and inertial frames. by Nardos Belay Abera (19832190)

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Design parameter for ASTSMC. by Nardos Belay Abera (19832190)

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

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Design parameter of adaptation law. by Nardos Belay Abera (19832190)

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ITAE table for tracking performance for t = 15 seconds. by Nardos Belay Abera (19832190)

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Design parameter for PSO SMC. by Nardos Belay Abera (19832190)

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Control error comparison. by Hongjun Meng (5031806)

“…Furthermore, a data-driven modeling method for the soft actuator was introduced, alongside an Improved Particle Swarm Optimization algorithm for fine-tuning PID control parameters. Finally, the prototype of the quadruped soft robot was constructed, and the control system was implemented. …”

Control process flowchart. by Hongjun Meng (5031806)

“…Furthermore, a data-driven modeling method for the soft actuator was introduced, alongside an Improved Particle Swarm Optimization algorithm for fine-tuning PID control parameters. Finally, the prototype of the quadruped soft robot was constructed, and the control system was implemented. …”

<b>Codes for "Fatigue analysis of wind turbine and load reduction through wind-farm-level yaw control"</b> by Yize Wang (19535173)

“…<p dir="ltr">The farm-level yaw control optimization algorithm Codes for "Fatigue analysis of wind turbine and load reduction through wind-farm-level yaw control"</p>…”

Accuracy of different electrical and optical neural networks for various input noise levels. by Reyhane Ahmadi (14857363)

Optimal control for realistic simulated epidemics with uncertainty in the estimated reproduction number. by Sandor Beregi (22177739)

Code by Baoqiang Chen (21099509)

Panel (a): Schematic diagram of model predictive control for optimising epidemic interventions. by Sandor Beregi (22177739)

M3C2 algorithm diagram. by Xiaowei Li (620087)

“…The results indicate that: (1)Following the implementation of a correction algorithm that integrated GPS monitoring data with the LiDAR monitoring results, a substantial enhancement in the accuracy of the measurement results was observed. …”

DMTD algorithm. by Yunhu Huang (21402795)

“…In this paper, expert knowledge is combined with deep reinforcement learning algorithm (Proximal Policy Optimization, PPO) and two enhanced intelligent train operation algorithms (EITO) are proposed. …”

Diagram algorithme. by Yunsuk Choi (754270)

Post scan feature estimates and confidence ratings. by Sam Hall-McMaster (10343795)

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Reward outcomes for each combination of task cue and policy in the experiment. by Sam Hall-McMaster (10343795)

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