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Neural network behavior analysis based on transfer functions MLP & RB in face recognition
(Assoc Computing Machinery, 2018)
We performed multi-layer perceptron neural networks MLPNN and Radial Basis neural networks RBNN. In the MLPNN, we applied three layers (input, Hidden, and output) with sigmoid transfer function. Similarly, we used RBNN. ...
Provide a new framework for blockchain‑based integrated and resource classifcation for the cloud
(Applied Nanoscience, 2022)
The internet of things paradigm is growing rapidly. In fact, controlling this massive growth of Cloud globally raises new
security and privacy issues. The traditional resource classifcation mechanisms provide security to ...
A bidirectional LSTM-RNN and GRU method to exon prediction using splice-site mapping
(2022)
Deep Learning techniques (DL) significantly improved the accuracy of predictions and classifications of deoxyribonucleic acid (DNA). On the other hand, identifying and predicting splice sites in eukaryotes is difficult due ...
Classification of brain tumors using MRI images based on convolutional neural network and supervised machine learning algorithms
(Institute of Electrical and Electronics Engineers Inc., 2022)
Brain tumor is abnormal cells that originate from cranial tissue and is considered one of the most destructive diseases, and lead to the cause of death, where the early diagnosis is crucial for accelerating the therapy of ...
