Drift-Aware System Assurance for Wind-Turbine SCADA Condition Monitoring
cn (code pays fourni par la source)
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cn (code pays fourni par la source)
Zi Wang, Fengling Li, Tianshi Wang, Guohua Dong et autres
cn, au (code pays fourni par la source)
Xin Tang, Tianshi Wang, Guolang Zhou, Chong Zhao et autres
ABSTRACT The performance of aqueous zinc‐ion batteries is limited by the coupled transport of protons (H + ) and Zn 2+ due to extensive hydrogen‐bond (H‐bond) networks in conventional electrolytes. To achieve the decoupling of this detrimental interplay, we establish a spatiotemporal …
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Tianshi Wang, Yiran Zhang, Zhang Yiao, Qiyang Zhang et autres
cn (code pays fourni par la source)
Yishan Zou, Chris Nugent, Matthew Burns, Shengli Wu et autres
Mistake detection aims to identify deviations from expected action sequences during task execution, a process particularly crucial in egocentric procedural videos to enable reliable task monitoring and the development of intelligent assistive systems. However, existing approaches often depend on preconceived mistake scenarios …
cn, gb (code pays fourni par la source)
Ruifan Zuo, C. Zheng, Fengling Li, Tianshi Wang et autres
cn, au (code pays fourni par la source)
Wenhao Liu, Tianshi Wang, Fengling Li, Jingjing Li et autres
Although cross-modal hashing enables efficient large-scale retrieval by encoding multimodal data into compact binary representations, its fixed code length and binary nature impose a fundamental capacity constraint that hinders continual adaptation to growing data streams and emerging semantic concepts. Existing continual cross-modal …
cn, ae (code pays fourni par la source)
Tianshi Wang, Fengling Li, Jingjing Li, Lei Zhu
Continual cross-modal hashing is critical for efficient retrieval across heterogeneous modalities in dynamic environments. Yet, existing approaches primarily focus on mitigating catastrophic forgetting, while overlooking two key challenges: 1) the hash collision arising from the excessive utilization of the Hamming space across …
cn, au (code pays fourni par la source)
Tianshi Wang, Fengling Li, Jingjing Li, Lei Zhu
Deep hashing has proven remarkable effectiveness for large-scale cross-modal retrieval, yet its performance is highly vulnerable to supervisory noise, such as mismatched cross-modal correspondences and incorrect category labels. Such noise is prevalent in real-world scenarios, where correspondence mismatches and label inaccuracies often …
cn, au (code pays fourni par la source)
Guolang Zhou, Chao Tang, Xin Tang, Tianshi Wang et autres
Abstract The commercialization of aqueous zinc‐ion batteries is impeded by the dynamic interfacial instability of zinc anodes, stemming from the intertwined issues of dendritic growth, hydrogen evolution corrosion, and sluggish ion transport. Conventional homogeneous interfacial layers fail to decouple these conflicting requirements. …
cn (code pays fourni par la source)
Hao Zhao, Tianshi Wang, Chen Yang, Fei Teng
The deployment of Deep Neural Networks (DNNs) for onboard satellite applications, such as raw data processing and Earth observation, is rapidly expanding. However, Single Event Upsets (SEUs) caused by high-energy particles induce bit flips in memory-stored model parameters, compromising system reliability. Hardware …
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Qian Xiu, Xiaoru Yin, Yuanyuan Chen, Z. Zhang et autres
cn (code pays fourni par la source)
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