Energy consumption in the PPO process. by Yunhu Huang (21402795)

Running time in the PPO process. by Yunhu Huang (21402795)

The losses of the training process before and after the optimization of loss function. by Peihan Wen (6324315)

Boxplots illustrating key metrics of the model optimization process for infection periods ranging from 8 to 20 days. by Hélder Seixas Lima (18840636)

Structure diagram of the optimized YOLOv8s model. by Xinwei Wang (352488)

Algorithm parameter settings. by Panfei Li (22379086)

“…Key algorithmic accelerators comprise a Heuristic Infeasibility Proof (HIP) for rapid solution screening and Enhanced Benders Cuts (EBC) derived from infeasibility analysis, both integrated with integrated with Local Branching. …”

Integrated algorithmic framework. by Panfei Li (22379086)

“…Key algorithmic accelerators comprise a Heuristic Infeasibility Proof (HIP) for rapid solution screening and Enhanced Benders Cuts (EBC) derived from infeasibility analysis, both integrated with integrated with Local Branching. …”

mAP@0.5 line charts for different models. by Meiling Shi (13148944)

The pseudo code of HIP algorithm. by Panfei Li (22379086)

“…Key algorithmic accelerators comprise a Heuristic Infeasibility Proof (HIP) for rapid solution screening and Enhanced Benders Cuts (EBC) derived from infeasibility analysis, both integrated with integrated with Local Branching. …”

The pseudo code of local branching algorithm. by Panfei Li (22379086)

“…Key algorithmic accelerators comprise a Heuristic Infeasibility Proof (HIP) for rapid solution screening and Enhanced Benders Cuts (EBC) derived from infeasibility analysis, both integrated with integrated with Local Branching. …”

A* Path-Finding Algorithm to Determine Cell Connections by Max Weng (22327159)

“…</p><p dir="ltr">Astrocytes were dissociated from E18 mouse cortical tissue, and image data were processed using a Cellpose 2.0 model to mask nuclei. Pixel paths were classified using a z-score brightness threshold of 1.21, optimized for noise reduction and accuracy. …”

The visualization of the CFDRP. by Jingxian Zhang (83932)

Graphical illustration of sample size estimation for the study protocol. by Müge Yalçin (16486563)

Flowchart scheme of the ML-based model. by Noshaba Qasmi (20405009)

“…<b>I)</b> Testing data consisting of 20% of the entire dataset. <b>J)</b> Optimization of hyperparameter tuning. <b>K)</b> Algorithm selection from all models. …”

Variation of adult mosquito quantity with increasing temperature in Yangjiang. by Yan Liu (25061)

Algoritmo de clasificación de expresiones de odio por tipos en español (Algorithm for classifying hate expressions by type in Spanish) by Daniel Pérez Palau (11097348)

“…</li></ul><p dir="ltr"><b>File Structure</b></p><p dir="ltr">The code generates and saves:</p><ul><li>Weights of the trained model (.h5)</li><li>Configured tokenizer</li><li>Training history in CSV</li><li>Requirements file</li></ul><p dir="ltr"><b>Important Notes</b></p><ul><li>The model excludes category 2 during training</li><li>Implements transfer learning from a pre-trained model for binary hate detection</li><li>Includes early stopping callbacks to prevent overfitting</li><li>Uses class weighting to handle category imbalances</li></ul><p dir="ltr">The process of creating this algorithm is explained in the technical report located at: Blanco-Valencia, X., De Gregorio-Vicente, O., Ruiz Iniesta, A., & Said-Hung, E. (2025). …”

Pareto boundary diagram. by Youmiao Wang (18778137)

“…The results show that the model solution with the introduction of the key processes at work zones produces more time-efficient and less time-consuming route planning results, and that the results obtained using the <i>ε</i> − constraint method are more reliable than the traditional methods for solving multi-objective planning problems and are more in line with the decision maker’s needs.…”

<i>ε</i> − constraint method. by Youmiao Wang (18778137)

“…The results show that the model solution with the introduction of the key processes at work zones produces more time-efficient and less time-consuming route planning results, and that the results obtained using the <i>ε</i> − constraint method are more reliable than the traditional methods for solving multi-objective planning problems and are more in line with the decision maker’s needs.…”

Supporting information-data. by Youmiao Wang (18778137)

“…The results show that the model solution with the introduction of the key processes at work zones produces more time-efficient and less time-consuming route planning results, and that the results obtained using the <i>ε</i> − constraint method are more reliable than the traditional methods for solving multi-objective planning problems and are more in line with the decision maker’s needs.…”

The calculation result. by Youmiao Wang (18778137)

“…The results show that the model solution with the introduction of the key processes at work zones produces more time-efficient and less time-consuming route planning results, and that the results obtained using the <i>ε</i> − constraint method are more reliable than the traditional methods for solving multi-objective planning problems and are more in line with the decision maker’s needs.…”