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

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

Fuzzy scale value. حسب Rongrong Guo (1847989)

Summary of data processing. حسب Hojun Lee (655617)

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

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

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

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

Framework for identifying essential anticancer genes. حسب 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). حسب 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. حسب 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. حسب Panayiotis D. Ziakas (9510346)

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

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

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

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

Rendered image volumes in the MIPAV GUI. حسب Andrew Lauziere (14192836)

Posture identification allows the tracking of other cells during late-stage embryogenesis. حسب Andrew Lauziere (14192836)

Pareto boundary diagram. حسب 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. حسب 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. …"