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Shanghai Jiao Tong University
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Achieving 96.06% accuracy in laser welding penetration prediction with only 200 labeled images could revolutionize quality assurance in industrial applications.
Achieving over 80% accuracy in cross-process welding penetration prediction could revolutionize intelligent monitoring across diverse welding systems.
WeldMamba achieves a remarkable 74.63% mIoU in predicting weld pool dynamics, setting a new benchmark for real-time welding applications.
