A novel deep learning approach for deepfake image detection
Deepfake is utilized in synthetic media to generate fake visual and audio content based on a
person's existing media. The deepfake replaces a person's face and voice with fake media …
person's existing media. The deepfake replaces a person's face and voice with fake media …
Automatic digital modulation recognition based on genetic-algorithm-optimized machine learning models
Recognition of the modulation scheme is the intermediate step between signal detection
and demodulation of the received signal in communication networks. Automatic modulation …
and demodulation of the received signal in communication networks. Automatic modulation …
ANFIS-Based Dual Band Circular MIMO Antenna Design with Pretty-Small Size and Large Bandwidth for 5 G Millimeter-Wave Applications at 28/38 GHz
The MIMO antenna is one of the essential elements for the implementation of the new fifth-
generation (5 G) technologies. The design of the MIMO antenna goes through several steps; …
generation (5 G) technologies. The design of the MIMO antenna goes through several steps; …
Blind source separation based on genetic algorithm-optimized multiuser kurtosis
Blind source separation is a challenging problem in signal processing, involving the
separation of mixed signals into their individual sources. This paper introduces a novel …
separation of mixed signals into their individual sources. This paper introduces a novel …
Radial basis function neural networks for optimal control with model reduction and transfer learning
This paper proposes a method to compute the solutions of linear optimal control expressed
in terms of the radial basis function neural networks with Gaussian activation functions for …
in terms of the radial basis function neural networks with Gaussian activation functions for …
Can machine learning predict friction from third body morphology?
This work proposes to lay the foundations for building an efficient database that is
representative of the morphology of the third body, with the aim of understanding whether it …
representative of the morphology of the third body, with the aim of understanding whether it …
ANN-based design of miniaturized circular dual-band 4× 4 MIMO antenna for 28/38 GHz 5G mmWave applications
This paper introduces an innovative approach to design an extremely compact circular dual-
band antenna suitable for 28/38 GHz 5G mmWave communications. Leveraging artificial …
band antenna suitable for 28/38 GHz 5G mmWave communications. Leveraging artificial …
A novel model for optimizing multilayer perceptron neural network architecture based on genetic algorithm method
FZ El-Hassani, Y Ghanou, K Haddouch - International conference on …, 2023 - Springer
Multilayer perceptron (MLP) have been widely used in a variety of applications and fields.
The hyper-parameters of such a machine learning (ML) models must be tuned to fit it into …
The hyper-parameters of such a machine learning (ML) models must be tuned to fit it into …
Optimizing Spectrum Prediction in Cognitive Radio: Genetic Algorithm-Enhanced Neural Networks and Radial Basis Functions
Throughout recent years, the field of wireless communication has experienced exponential
growth. This expansion has been propelled by the continual innovation of diverse wireless …
growth. This expansion has been propelled by the continual innovation of diverse wireless …
Modeling of nonlinear characteristics of switched reluctance motor based on optimized RBF neuron network
Y Li, Q Ma, P Xu - Journal of Physics: Conference Series, 2023 - iopscience.iop.org
The strong nonlinearity of switched reluctance motor (SRM) makes it difficult to establish an
accurate mathematical model of its electromagnetic characteristics. In this paper, an artificial …
accurate mathematical model of its electromagnetic characteristics. In this paper, an artificial …