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SEM-Net: Deep features selections with Binary Particle Swarm Optimization Method for classification of scanning electron microscope images
(Elsevier, 2021)
Materials Science is increasingly handling artificial intelligence methods to address the complexity in the field of everyday life necessities. Researchers in both academia and industry are interested in imaging techniques ...
Sequential Feature Maps with LSTM Recurrent Neural Networks for Robust Tumor Classification
(2021)
In the field of biomedicine, applications for the identification of biomarkers require a robust gene selection
mechanism. To identify the characteristic marker of an observed event, the selection of attributes becomes ...
A hybrid DNN–LSTM model for detecting phishing URLs
(Springer, 2021)
Phishing is an attack targeting to imitate the official websites of corporations such as banks, e-commerce, financial institutions, and governmental institutions. Phishing websites aim to access and retrieve users’ important ...