A deep learning method with wrapper based feature extraction for wireless intrusion detection system
In the past decade, wired and wireless computer networks have substantially evolved
because of the rapid development of technologies such as the Internet of Things (IoT) …
because of the rapid development of technologies such as the Internet of Things (IoT) …
ReLTanh: An activation function with vanishing gradient resistance for SAE-based DNNs and its application to rotating machinery fault diagnosis
Tanh is a sigmoidal activation function that suffers from vanishing gradient problem, so
researchers have proposed some alternative functions including rectified linear unit (ReLU) …
researchers have proposed some alternative functions including rectified linear unit (ReLU) …
Models for battery health assessment: a comparative evaluation
Considering the importance of lithium-ion (Li-ion) batteries and the attention that the study of
their degradation deserves, this work provides a review of the most important battery state of …
their degradation deserves, this work provides a review of the most important battery state of …
Bitcoin technical trading with artificial neural network
This paper explores Bitcoin intraday technical trading based on artificial neural networks for
the return prediction. In particular, our deep learning method successfully discovers trading …
the return prediction. In particular, our deep learning method successfully discovers trading …
A survey on activation functions and their relation with xavier and he normal initialization
L Datta - arxiv preprint arxiv:2004.06632, 2020 - arxiv.org
In artificial neural network, the activation function and the weight initialization method play
important roles in training and performance of a neural network. The question arises is what …
important roles in training and performance of a neural network. The question arises is what …
A comparative analysis of machine/deep learning models for parking space availability prediction
Machine/Deep Learning (ML/DL) techniques have been applied to large data sets in order
to extract relevant information and for making predictions. The performance and the …
to extract relevant information and for making predictions. The performance and the …
Blockchain-enabled Internet of Vehicles with cooperative positioning: A deep neural network approach
Although vehicular global positioning system (GPS) has been widely applied in many traffic
scenarios, it is far from achieving lane-level positioning due to its low accuracy. Existing …
scenarios, it is far from achieving lane-level positioning due to its low accuracy. Existing …
Detecting quantum attacks: A machine learning based defense strategy for practical continuous-variable quantum key distribution
Y Mao, W Huang, H Zhong, Y Wang, H Qin… - New Journal of …, 2020 - iopscience.iop.org
The practical security of a continuous-variable quantum key distribution (CVQKD) system is
compromised by various attack strategies. The existing countermeasures against these …
compromised by various attack strategies. The existing countermeasures against these …
Effective activation functions for homomorphic evaluation of deep neural networks
CryptoNets and subsequent work have demonstrated the capability of homomorphic
encryption (HE) in the applications of private artificial intelligence (AI). In convolutional …
encryption (HE) in the applications of private artificial intelligence (AI). In convolutional …
Deep learning for classification of the chemical composition of particle defects on semiconductor wafers
Manual classification of particle defects on semiconductor wafers is labor-intensive, which
leads to slow solutions and longer learning curves on product failures while being prone to …
leads to slow solutions and longer learning curves on product failures while being prone to …