… of deep learning methods. This article also introduces the application of the … Internet of things
architecture … about four kinds of cloud systems in GMS images based on neural network. J …

… Finally,the deep learning methods with different architectures … traditional anomaly detection
method,the anomaly detection … Anomaly detection,analysis and prediction techniques in IoT …

… the security of the Internet of things. With the continuous … detection based on anomaly
detection and misuse detection[C]//… Recurrent neural networks and deep neural networks based …

… 但上述 2 种模型均需手动提取流量特征,IoT 设备类型众 多,特征构造复杂,不适用于… Malware
traffic classification using convolutional neural network … learning[C]. International Conference …

… [6] DESHMUKH MMK, KAPSE AA survey on outlier detection technique in streaming data
using data clustering approach[J].International Journal of Engineering and Computer Science, …

… on the classification and discussion of the deep neural network model of RFF using raw I/Q, …
Zero-bias deep learning for accurate identification of internet-of-things (IoT) devices[J]. IEEE …

… using deep learning and its applications via large-scale pretrained deep neural network …
to the high complexity of the neural network architecture, substantial storage overhead, and …

… Convolutional Neural Network(CNN) online preearthquake electromagnetic anomaly detection
… spectrum, the pre-earthquake electromagnetic anomaly detection is performed in multi-…

… a novel zeroshot anomaly detection method. By synthesizing random … Keywords:anomaly
detection; deep learning; zero-shot learning; few-… 1 Architecture of zero-shot anomaly detector …

… patterns, a power consumption anomaly identification method considering industry relevance
is … Review of load data analytics using deep learning in smart grids: Open load datasets, …