Prior-Knowledge-Guided Graph Attention Network for Fault Diagnosis of Engine Valve Clearance. [PDF]
Li M, Wen J, Yang X, Hu Y, Li X, Shi Z.
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Targeting cancer‐associated fibroblasts (CAFs) with fibroblast activation protein (FAP)‐directed nanoprobes for multimodal imaging and photothermal remodeling of the immunosuppressive microenvironment to enhance immunotherapy in triple‐negative breast cancer (TNBC).
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Small-Satellite System Fault Diagnosis via a Temporal-Spatial 3D-CNN with Imbalanced-Aware Training. [PDF]
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From Pixel Understanding to Semantic Insight: Intelligent Detection in Sensor-Driven Perception Systems. [PDF]
Xie Q, Wu T, Yang F.
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An evolutionary weighted feature influence factor feature selection method for fault detection in the Tennessee Eastman complex chemical process. [PDF]
Li D, Xue Y, Fu J, Tan T, Yang Y, Nie J.
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Integrating Frequency Guidance into Multi-Source Domain Generalization for Acoustic-Based Fault Diagnosis in Industrial Systems. [PDF]
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Low-sample supervised fault diagnosis for fixed-wing UAVs based on multi-scale adaptive state-aware sequence learning. [PDF]
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Online Fault Detection and Diagnosis in RRAM
2023 IEEE European Test Symposium (ETS), 2023Resistive Random Access Memory (RRAM, or ReRAM) is a promising memory technology to replace Flash because of its low power consumption, high storage density, and simple integration in existing IC production processes. This has motivated many companies to invest in this technology. However, RRAM manufacturing introduces new failure mechanisms and faults
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