Average objectives and optimality gaps of algorithms on problem instances of varying scales. by Panfei Li (22379086)

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

Fuzzy scale value. by Rongrong Guo (1847989)

Summary of data processing. by Hojun Lee (655617)

Human expert versus automated processing: Running dataset. by Keenon Werling (17512156)

Optimal <i>Q</i> analysis for chromosome 10. by Dolores Bernenko (16528426)

Optimization of tracking parameters based on <i>P</i>_<i>swap</i>. by Benjamin Gallois (10131683)

DataSheet1_A safety check method to maximize the effective reserve by optimizing the power of the tie-line in the power market.docx by Yang Wu (66682)

Framework for identifying essential anticancer genes. by Chao-Ting Cheng (15675292)

An indicative example of states with a very strong (>0.80) popularity-mortality similarity (CA 0.86, IL 0.86, MD 0.87, RI 0.86). by Panayiotis D. Ziakas (9510346)

Popularity-incidence similarity for the same four states (CA 0.70, IL 0.76, MD 0.73, RI 0.71) after time-warping for pattern recognition. by Panayiotis D. Ziakas (9510346)

An indicative example of states with a very strong (>0.80) popularity-mortality similarity (CA 0.86, IL 0.86, MD 0.87, RI 0.86) after time-warping for pattern recognition. by Panayiotis D. Ziakas (9510346)

Time lapse imaging of gastruloids reveals hallmarks of CE. by Martijn A. de Jong (17896732)

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

Effect of state weights on RfaH pMPNN-AD sequence decoding. by Lu Hong (399882)

Flowchart of software workflow. by Gavrielle R. Untracht (11820311)

Pareto boundary diagram. by Youmiao Wang (18778137)

“…The model by using the <i>ε</i> − constraint method that transforms the objective function of minimizing total transportation cost into a constraint, resulting in obtaining pareto optimal solutions. This method makes up for the lack of existing research on the combination of both engineering logistics and multimodal transportation, after which the feasibility of the model and algorithm is verified by examples. …”

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

“…The model by using the <i>ε</i> − constraint method that transforms the objective function of minimizing total transportation cost into a constraint, resulting in obtaining pareto optimal solutions. This method makes up for the lack of existing research on the combination of both engineering logistics and multimodal transportation, after which the feasibility of the model and algorithm is verified by examples. …”

Supporting information-data. by Youmiao Wang (18778137)

“…The model by using the <i>ε</i> − constraint method that transforms the objective function of minimizing total transportation cost into a constraint, resulting in obtaining pareto optimal solutions. This method makes up for the lack of existing research on the combination of both engineering logistics and multimodal transportation, after which the feasibility of the model and algorithm is verified by examples. …”

The calculation result. by Youmiao Wang (18778137)

“…The model by using the <i>ε</i> − constraint method that transforms the objective function of minimizing total transportation cost into a constraint, resulting in obtaining pareto optimal solutions. This method makes up for the lack of existing research on the combination of both engineering logistics and multimodal transportation, after which the feasibility of the model and algorithm is verified by examples. …”