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Robust Estimation of VANET Performance-Based Robust Neural Networks Learning
Abdellah A.R., Muthanna A., Koucheryavy A.
performance in terms of packet loss rate and throughput using robust neural networks learning based
Energy Estimation for VANET Performance Based Robust Neural Networks Learning
Abdellah A.R., Muthanna A., Koucheryavy A.
of VANET in terms of energy consumption and the throughput; we propose the robust neural networks learning
Convolutional Neural Network Based Deep Neural Network Model for Electrocardiogram Records Classification
Khudhur A.M., Alwan M.H., Al Omairi Q., Mahmood O.A., Hammadi Y.I., Muthanna M.S.A., Aziz A., Muthanna A.
neural network, which exhibits both robustness and efficiency in its classification performance. Thus
Dynamical systems approach to outlier robust deep neural networks for regression
Gurevich P., Stuke H.
We study the dynamics and equilibria induced by training an artificial neural network
Edge-guided and hierarchical aggregation network for robust medical image segmentation
Yi Tang, Di Zhao, Pertsau, D., Gourinovitch, A., Kupryianav, D.
Medical image segmentation with the convolutional neural networks (CNNs), significantly enhances
Comparison of hybrid approaches in classification using decision trees and neural networks
Fomchenko, A.
Approaches combining methods based on decision trees and neural networks are an important examples
Аналитический обзор алгоритмов матирования на изображении
Исмаил, А. Х., Перцев, Д. Ю.
deep neural networks
Design of order statistics filters using feedforward neural networks
Maslennikova Y., Bochkarev V.
of order statistics filters using artificial neural networks. Optimal Lloyd's statistics are used
Non-linear FM demodulation with neural networks in through-the-earth mine communications
Kudinov, M S, Kudinov, D S, Kokhonkova, E A
technique based on convolutional neural network which is robust to possible non-linear effects. Our field
ARTIFICIAL NEURAL NETWORKS, SUPPORT VECTOR MACHINES AND DECISION TREES FOR ANTI HIV ACTIVITY PREDICTION OF ORGANIC COMPOUNDS
Hdoufane I., Bjij I., Cherqaoui D.
ARTIFICIAL NEURAL NETWORKS, SUPPORT VECTOR MACHINES AND DECISION TREES FOR ANTI HIV ACTIVITY

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