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Generative adversarial networks in time series: A systematic literature review
Generative adversarial network (GAN) studies have grown exponentially in the past few
years. Their impact has been seen mainly in the computer vision field with realistic image …
years. Their impact has been seen mainly in the computer vision field with realistic image …
Deep learning in neural networks: An overview
In recent years, deep artificial neural networks (including recurrent ones) have won
numerous contests in pattern recognition and machine learning. This historical survey …
numerous contests in pattern recognition and machine learning. This historical survey …
Artificial neural network model to predict the compressive strength of eco-friendly geopolymer concrete incorporating silica fume and natural zeolite
The growing concern about global climate change and its adverse impacts on societies is
putting severe pressure on the construction industry as one of the largest producers of …
putting severe pressure on the construction industry as one of the largest producers of …
[ספר][B] Neural networks and deep learning
CC Aggarwal - 2018 - Springer
“Any AI smart enough to pass a Turing test is smart enough to know to fail it.”–*** Ian
McDonald Neural networks were developed to simulate the human nervous system for …
McDonald Neural networks were developed to simulate the human nervous system for …
Wave physics as an analog recurrent neural network
Analog machine learning hardware platforms promise to be faster and more energy efficient
than their digital counterparts. Wave physics, as found in acoustics and optics, is a natural …
than their digital counterparts. Wave physics, as found in acoustics and optics, is a natural …
[HTML][HTML] Deep LSTM model for diabetes prediction with class balancing by SMOTE
Diabetes is an acute disease that happens when the pancreas cannot produce enough
insulin. It can be fatal if undiagnosed and untreated. If diabetes is revealed early enough, it …
insulin. It can be fatal if undiagnosed and untreated. If diabetes is revealed early enough, it …
[HTML][HTML] Electricity price forecasting using recurrent neural networks
Accurate electricity price forecasting has become a substantial requirement since the
liberalization of the electricity markets. Due to the challenging nature of electricity prices …
liberalization of the electricity markets. Due to the challenging nature of electricity prices …
How effective is the Grey Wolf optimizer in training multi-layer perceptrons
This paper employs the recently proposed Grey Wolf Optimizer (GWO) for training Multi-
Layer Perceptron (MLP) for the first time. Eight standard datasets including five classification …
Layer Perceptron (MLP) for the first time. Eight standard datasets including five classification …
[ספר][B] Optical wireless communications: system and channel modelling with Matlab®
Z Ghassemlooy, W Popoola, S Rajbhandari - 2019 - taylorfrancis.com
The 2nd Edition of Optical Wireless Communications: System and Channel Modelling with
MATLAB® with additional new materials, is a self-contained volume that provides a concise …
MATLAB® with additional new materials, is a self-contained volume that provides a concise …
Crop yield prediction integrating genotype and weather variables using deep learning
Accurate prediction of crop yield supported by scientific and domain-relevant insights, is
useful to improve agricultural breeding, provide monitoring across diverse climatic …
useful to improve agricultural breeding, provide monitoring across diverse climatic …