Results 181 to 190 of about 13,592 (226)

Electrocardiogram generation with a bidirectional LSTM-CNN generative adversarial network. [PDF]

Sci Rep, 2019
Zhu F, Ye F, Fu Y, Liu Q, Shen B.
europepmc   +1 more source

Classification of Drowsiness Levels Based on a Deep Spatio-Temporal Convolutional Bidirectional LSTM Network Using Electroencephalography Signals. [PDF]

Brain Sci, 2019
Jeong JH, Yu BW, Lee DH, Lee SW.
europepmc   +1 more source

DeepDom: Predicting protein domain boundary from sequence alone using stacked bidirectional LSTM. [PDF]

Pac Symp Biocomput, 2019
Jiang Y, Wang D, Xu D.
europepmc   +1 more source

Recurrently exploring class-wise attention in a hybrid convolutional and bidirectional LSTM network for multi-label aerial image classification.

ISPRS J Photogramm Remote Sens, 2019
Hua Y, Mou L, Zhu XX.
europepmc   +1 more source

A hybrid transformer-BiLSTM model optimized with Firefly Algorithm for network traffic anomaly detection. [PDF]

PLoS One
Luo D, Wang W, Liu X, Yang W, Hu K, Zhang J.   +5 more
europepmc   +1 more source

Air quality prediction via hybrid BiGRU-MLP using binary ant colony optimization and firefly algorithm for hyperparameter tuning. [PDF]

Sci Rep
Mahmoud AA, Alhammad SM, Fouad Y, Osman AM, El-Bakry HM, Elshewey AM.   +5 more
europepmc   +1 more source

A hybrid architecture with bidirectional gating mechanism for spatiotemporal air quality prediction. [PDF]

Sci Rep
Li S, Tang B, Deng X, Mi C.
europepmc   +1 more source

A Motion Intention Recognition Method for Lower-Limb Exoskeleton Assistance in Ultra-High-Voltage Transmission Tower Climbing. [PDF]

Sensors (Basel)
Chen H, Liu Y, Li M, Yang Z, Hu H, Wu X, Wang X, Shi H, Guo Z.   +8 more
europepmc   +1 more source

Machine learning-driven time series analysis for SOH prediction of lithium-ion batteries. [PDF]

Sci Rep
Zhang Y, Bi X, Wang S, Tao B.
europepmc   +1 more source

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Bidirectional LSTM Models for DGA Classification

Communications in Computer and Information Science, 2019
The paper describes our submission to the shared task on DGA classification at DMD 2018. The approach is based on a Deep Learning architecture using bidirectional LSTM neural networks. Similar models are used in both the tasks, the first one is to identify the DGA generated domain name and the second one is to detect and categorize the DGA generated ...
Giuseppe Attardi, Attardi Giuseppe
exaly   +3 more sources