… malicious relays pose a serious threat to user privacy. Therefore, identifying malicious relays
is … We propose a malicious relay detection model called hybrid multi-scale CNNLSTM with …

… relay consists of three main functions, ie, detection, classification, and fault localization in
transmission lines [5]. Quick detection … -LSTM in this paper, an LSTM layer is added to the CNN …

… to detect, classify, and localize the faults in a three-phase 11 kV underground cable by using
CNN-LSTM-… We propose a dual output CNN-LSTM network capable of classifying the faults …

… CNN and LSTM neural networks for fault detection and classification in smart grids has shown
significant promise. LSTM … the relay do not respond to the fault because it cannot detect it, …

… network is proposed for network intrusion detection. Although the mixture of CNN and LSTM
… multi-channel CNN-LSTM (MCCNN-LSTM) network for ICO fault detection and classification…

… and cost-effective than 2D CNN. In this paper, for the first time, the 1D CNN and the
combination of 1D CNN-LSTM are proposed for islanding detection to better exploit the global …

… Accurate detection of these faults is essential for maintaining … for fault detection using a hybrid
model (1D-CNN-LSTM) in … of the hybrid model in detecting faults. The model achieved 100…

… For this Setup, it was not possible to evaluate the mAP or the conventional object detection
AP as MULTICAST relays on a lower confidence threshold, that is 0.1 for the first stage …

… RFI of this type can be generated by devices like mechanical relays, … a pre-trained CNN
followed by a bidirectional LSTM layer. … Such monitoring stations render it easy to detect nearby …

… This paper presents a spectrum sensing model of CNNLSTM, detecting the state of PU … a
higher detection probability than CNN and LSTM algorithms at the low SNR, and the detection …