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significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
significant time » significant threat (Expand Search), significant gap (Expand Search)
time decrease » time increased (Expand Search), sizes decrease (Expand Search), teer decrease (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
significant time » significant threat (Expand Search), significant gap (Expand Search)
time decrease » time increased (Expand Search), sizes decrease (Expand Search), teer decrease (Expand Search)
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3021
Flexible Microfluidic Devices for Tunable Formation of Double Emulsion
Published 2025“…This innovative approach significantly advances the field of droplet-based microfluidics, providing on-site, real-time tunability for the generation of double-emulsion droplets with high precision and reproducibility.…”
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3022
Flexible Microfluidic Devices for Tunable Formation of Double Emulsion
Published 2025“…This innovative approach significantly advances the field of droplet-based microfluidics, providing on-site, real-time tunability for the generation of double-emulsion droplets with high precision and reproducibility.…”
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3023
Flexible Microfluidic Devices for Tunable Formation of Double Emulsion
Published 2025“…This innovative approach significantly advances the field of droplet-based microfluidics, providing on-site, real-time tunability for the generation of double-emulsion droplets with high precision and reproducibility.…”
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3024
Flexible Microfluidic Devices for Tunable Formation of Double Emulsion
Published 2025“…This innovative approach significantly advances the field of droplet-based microfluidics, providing on-site, real-time tunability for the generation of double-emulsion droplets with high precision and reproducibility.…”
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3025
Flexible Microfluidic Devices for Tunable Formation of Double Emulsion
Published 2025“…This innovative approach significantly advances the field of droplet-based microfluidics, providing on-site, real-time tunability for the generation of double-emulsion droplets with high precision and reproducibility.…”
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3026
Flexible Microfluidic Devices for Tunable Formation of Double Emulsion
Published 2025“…This innovative approach significantly advances the field of droplet-based microfluidics, providing on-site, real-time tunability for the generation of double-emulsion droplets with high precision and reproducibility.…”
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3027
Flexible Microfluidic Devices for Tunable Formation of Double Emulsion
Published 2025“…This innovative approach significantly advances the field of droplet-based microfluidics, providing on-site, real-time tunability for the generation of double-emulsion droplets with high precision and reproducibility.…”
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3028
Behavioral task performance.
Published 2025“…Asterisks indicate significance (<i>p</i> < 0.05; Wilcoxon signed-rank tests for paired samples). …”
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3029
Minimal test data set
Published 2025“…OSA is highly sensitive to information of different scales, and its one-time aggregation property substantially decreases the computational overhead of the model. …”
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3030
OSNet network structure.
Published 2025“…OSA is highly sensitive to information of different scales, and its one-time aggregation property substantially decreases the computational overhead of the model. …”
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3031
YOLOv8 overall framework.
Published 2025“…OSA is highly sensitive to information of different scales, and its one-time aggregation property substantially decreases the computational overhead of the model. …”
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3032
The performance of YOFGD model on MOT16.
Published 2025“…OSA is highly sensitive to information of different scales, and its one-time aggregation property substantially decreases the computational overhead of the model. …”
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3033
Network structure of OSA.
Published 2025“…OSA is highly sensitive to information of different scales, and its one-time aggregation property substantially decreases the computational overhead of the model. …”
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3034
The performance of S-YOFEO model on MOT17.
Published 2025“…OSA is highly sensitive to information of different scales, and its one-time aggregation property substantially decreases the computational overhead of the model. …”
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3035
Five multi-target tracking evaluation indexes.
Published 2025“…OSA is highly sensitive to information of different scales, and its one-time aggregation property substantially decreases the computational overhead of the model. …”
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3036
Algorithm flowchart of OFEO.
Published 2025“…OSA is highly sensitive to information of different scales, and its one-time aggregation property substantially decreases the computational overhead of the model. …”
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3037
Partial tracking results of MOT17 dataset.
Published 2025“…OSA is highly sensitive to information of different scales, and its one-time aggregation property substantially decreases the computational overhead of the model. …”
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3038
Improved detection layer.
Published 2025“…OSA is highly sensitive to information of different scales, and its one-time aggregation property substantially decreases the computational overhead of the model. …”
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3039
The performance of S-YOFEO model on MOT16.
Published 2025“…OSA is highly sensitive to information of different scales, and its one-time aggregation property substantially decreases the computational overhead of the model. …”
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3040
The matching process of EIOU.
Published 2025“…OSA is highly sensitive to information of different scales, and its one-time aggregation property substantially decreases the computational overhead of the model. …”