Search Results - "Deng, Kailun"
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A cyclic self-enhancement technique for complex defect profile reconstruction based on thermographic evaluation
Published in Acta mechanica Sinica (01-05-2025)“…Although machine Learning has demonstrated exceptional applicability in thermographic inspection, precise defect reconstruction is still challenging,…”
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Surface Damage in Woven Carbon Composite Panels under Orthogonal and Inclined High-Velocity Impacts
Published in Journal of composites science (01-10-2022)“…The present research is aimed at the study of the failure analysis of composite panels impacted orthogonally at a high velocity and with an angle. Woven…”
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A turn-on fluorescent chemosensor based on aggregation-induced emission for cyanide detection and its bioimaging applications
Published in Sensors and actuators. B, Chemical (01-10-2019)“…[Display omitted] •A red AIE fluorescent sensor TCNT with D-A-D structure is designed.•TCNT displays high selectivity and sensitivity to CN− with turn-on…”
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A nucleic acid-specific fluorescent probe for nucleolus imaging in living cells
Published in Talanta (Oxford) (15-01-2019)“…Nucleus imaging is of great importance for understanding cellular processes of genetic expression, proliferation and growth, etc. Although many nucleic-acid…”
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A Fiber-guided Motorised Rotation Laser Scanning Thermography Technique for Impact Damage Crack Inspection in Composites
Published in IEEE transactions on industrial electronics (1982) (01-03-2024)“…Laser Thermography manifests superior sensitivity and compatibility to detect cracks and small subsurface defects. However, the existing related systems have…”
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Classification of barely visible impact damage in composite laminates using deep learning and pulsed thermographic inspection
Published in Neural computing & applications (01-05-2023)“…With the increasingly comprehensive utilisation of Carbon Fibre-Reinforced Polymers (CFRP) in modern industry, defects detection and characterisation of these…”
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Attention mechanism enhanced spatiotemporal-based deep learning approach for classifying barely visible impact damages in CFRP materials
Published in Composite structures (01-06-2024)“…•Damage characters are embedded in spatiotemporal information in thermal sequences.•Spatiotemporal based deep learning model performs better than image-based…”
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Automatic reconstruction of irregular shape defects in pulsed thermography using deep learning neural network
Published in Neural computing & applications (01-12-2022)“…Quantitative defect and damage reconstruction play a critical role in industrial quality management. Accurate defect characterisation in Infrared Thermography…”
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Pattern Recognition of Barely Visible Impact Damage in Carbon Composites Using Pulsed Thermography
Published in IEEE transactions on industrial informatics (01-10-2022)“…This article proposes a novel framework to characterize the morphological pattern of barely visible impact damage using machine learning. Initially, a sequence…”
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