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17.203  Articles
1 of 1.721 pages  |  10  records  |  more records»
During the construction of the Jakarta-Bandung high-speed train, many Indonesian people gave their responses to the public. The answers were also varied, with some giving positive and negative reactions. The purpose of this study is to analyze the sentime... see more

Brain-Computer Interface (BCI) has an intermediate tool that is usually obtained from EEG signal information. This paper proposed the BCI to control a robot simulator based on three emotions for five seconds by extracting a wavelet function in advance wit... see more

Brain-Computer Interface (BCI) has an intermediate tool that is usually obtained from EEG signal information. This paper proposed the BCI to control a robot simulator based on three emotions for five seconds by extracting a wavelet function in advance wit... see more

Load shedding plays a key part in the avoidance of the power system outage. The frequency and voltage fluidity lead to spread of a power system into sub-systems and lead to the outage as well as the severe breakdown of the system utility.  in recent ... see more

Load shedding plays a key part in the avoidance of the power system outage. The frequency and voltage fluidity lead to spread of a power system into sub-systems and lead to the outage as well as the severe breakdown of the system utility.  in recent ... see more

We claim that modelling network traffic as a time series with a supervised learning approach, using known genuine and malicious behaviour, improves intrusion detection. To substantiate this, we trained long short-term memory (LSTM) recurrent neural networ... see more

In recent studies Recurrent Neural Networks were used for generative processes and their surprising performance can be explained by their ability to create good predictions. In addition, Data Compression is also based on prediction. What the problem comes... see more

In recent studies Recurrent Neural Networks were used for generative processes and their surprising performance can be explained by their ability to create good predictions. In addition, Data Compression is also based on prediction. What the problem comes... see more

Recurrent neural networks (RNNs) remain challenging, and there is still a lack of long-term memory or learning ability in sequential data classification and prediction. In this paper, we propose a flexible recurrent model, BIdirectional COnvolutional RaNd... see more

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