Line charts of the elbow method and the k-value selection algorithm: (A) elbow method; (B) k-value selection algorithm. حسب Jingnan Yan (20727331)

Example of subsampling process. حسب Sofia P. Miranda (11418930)

Random forest classification method process. حسب Yawen Zhong (2342206)

Effects of the augmentation algorithm on cell-based data. حسب Philipp Fey (14660139)

Line chart plotted using the k-value selection algorithm: (A) system 1; (B) system 2; (C) system 3. حسب Jingnan Yan (20727331)

Line chart plotted using the elbow method: (A) system 1; (B) system 2; (C) system 3. حسب Jingnan Yan (20727331)

All augmented cell line data that was generated for this manuscript (part 4). حسب Philipp Fey (14660139)

All augmented cell line data that was generated for this manuscript (part 7). حسب Philipp Fey (14660139)

All augmented cell line data that was generated for this manuscript (part 5). حسب Philipp Fey (14660139)

All augmented cell line data that was generated for this manuscript (part 1). حسب Philipp Fey (14660139)

All augmented cell line data that was generated for this manuscript (part 2). حسب Philipp Fey (14660139)

All augmented cell line data that was generated for this manuscript (part 6). حسب Philipp Fey (14660139)

All augmented cell line data that was generated for this manuscript (part 3). حسب Philipp Fey (14660139)

Process of calculating the wear probability (). حسب Natsumi Nishiyama (19928990)

Inspection of Line Defects in Transition Metal Dichalcogenides Using a Microscopic Hyperspectral Imaging Technique حسب Xiangmin Hu (1612399)

"…A light selection method was proposed to optimize the optical contrast of line defects. Via application of an image processing algorithm, an automatic detection of the line defects with a classification accuracy of 95% was achieved for WS₂, MoS₂, and MoSe₂. …"

Comparison between S8 and LC_Pro signal detection algorithms of the maximal area of signals embedded in random noise with signal to noise ratios (SNR) from 2–10. حسب Jennifer M. Knighten (15453354)

The ROC curve for the classification of normal and abnormal images by mean Amb-I of each layer of the retina, classified by AUC = 0.92. حسب Hideki Shiihara (10803160)

Material parameters. حسب Dapeng Wang (250459)

"…The impact of detection probability and maintenance measures on the service life of tunnel lining and the cost of detection and maintenance of cracked lining in the whole life cycle was analyzed; the optimization calculation model of tunnel lining crack detection and maintenance strategy based on genetic algorithm was established with the multi-objective optimization function of maximizing the service life of detection and maintenance and minimizing the total cost of detection and maintenance of fatigue cracks. …"

S1 File - حسب Dapeng Wang (250459)

"…The impact of detection probability and maintenance measures on the service life of tunnel lining and the cost of detection and maintenance of cracked lining in the whole life cycle was analyzed; the optimization calculation model of tunnel lining crack detection and maintenance strategy based on genetic algorithm was established with the multi-objective optimization function of maximizing the service life of detection and maintenance and minimizing the total cost of detection and maintenance of fatigue cracks. …"

Parameter values. حسب Dapeng Wang (250459)

"…The impact of detection probability and maintenance measures on the service life of tunnel lining and the cost of detection and maintenance of cracked lining in the whole life cycle was analyzed; the optimization calculation model of tunnel lining crack detection and maintenance strategy based on genetic algorithm was established with the multi-objective optimization function of maximizing the service life of detection and maintenance and minimizing the total cost of detection and maintenance of fatigue cracks. …"