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… (few-shot learning, FSL) 被用于解决面向小样本的恶意软件检测(few-shot for malware detection,
… A survey of machine and deep learning methods for Internet of Things (IoT) security. IEEE …

… applications based on WiFi sensing and acoustic sensing from … and tracking of the Internet
of Things. Especially in recent … , such as the transfer learning[124], few-shot learning[125], and …

… Cross-domain few-shot learning with task-specific adapters[C]//Proceedings of 2022 …
learning models for anomaly-based intelligent intrusion detection systems for the Internet of things…

… Metric learning-based fault diagnosis and anomaly detection … -learning as a promising
approach for few-shot cross-domain … interests include industrial internet of things, edge computing…

… as cross-domain resource management issues that 6G wireless communication systems …
服务器,而边是指与用户 接近的边缘设备,如手机和IoT设备[38];可以整合 云端-边缘更强大的计算,…

… Few-shot image gen⁃ eration via cross-domain correspondence [C]∥ 2021 IEEE/CVF
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… new technologies such as big data and Internet of Things, for which situational awareness is
… Gotcha-Sly malware!: scorpion a metagraph2vec based malware detection system. Proc 24 …

… MsmcNet: A modular few-shot learning framework for signal … wireless technique classification
in internet of things [J]. IEEE … on cross-domain big data[J]. IEEE Journal on Selected Areas …

… virtual and real-world integration and percep⁃ tual pathways,which are divided into
primary perception types:visual-based,sensor-based,and wireless non-contact. Object-based …