SE-Attention Augmented Hybrid CNN-BiLSTM Model for Leakage Current-Based Detection of Cracked and Broken High-Voltage Porcelain Insulators. [PDF]
Alçin ÖF +2 more
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A Multi-Sensor Fusion and CWT-CNN-BiLSTM-Based Approach for Small-Sample Fault Diagnosis in Rotating Machinery. [PDF]
Li Z, Zhou Z, Wang Z, Chen Q.
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Optimized feature selection and zero-parameter channel attention BiLSTM for RPL-attack classification in IoT networks. [PDF]
Unnam SR, Shaik K.
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The impact of artificial intelligence with multi-head self-attention based deep learning model for students' academic performance monitoring. [PDF]
Ragab M.
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Operational Status Assessment and Trend Prediction of Francis Turbine Generator Unit Shaft System Driven by Vibration and Swing Signals. [PDF]
Zhang L +7 more
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BiLSTM deep foundation pit deformation prediction method integrating attention mechanism. [PDF]
Pei Q, Guo Y, Yu Y.
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Arterial blood pressure waveform reconstruction estimation from PPG using TCN-BiLSTM. [PDF]
Loumissi H +3 more
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An effective BiLSTM-CNN model for predicting large-scale temporal-spatial dynamics of normalized difference vegetation index. [PDF]
Soula A, Zayas AD, Ksantini R, Gomez PM.
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NeuroMimicNet: A Multimodal Neuromorphic Framework for Early Screening and Cognitive Pattern Recognition in Children with Autism. [PDF]
S P, R E.
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