Ensemble learning combines several individual models to obtain better generalization
performance. Currently, deep learning architectures are showing better performance …

The growth of data volume has changed cybersecurity activities, demanding a higher level
of automation. In this new cybersecurity landscape, text mining emerged as an alternative to …

In this paper, we proposed Multi-model LSTM-based Pre-trained Convolutional Neural
Networks (MLP-CNNs) as an ensemble majority voting classifier for the detection of plant …

Sarcasm is a type of nonliteral language, where people may express their negative
sentiments with the use of words with positive literal meaning, and, conversely, negative …

Continues growth of social networking web users, people daily shared their ideas and
opinions in the form of texts, images, videos, and speech. Text categorization is still a crucial …

Sentiment analysis on social media platforms (ie, Twitter or Facebook) has become an
important tool to learn about users' opinions and preferences. However, the accuracy of …

The opacity of deep learning makes its application challenging in the medical field.
Therefore, there is a need to enable explainable artificial intelligence (XAI) in the medical …

Electromagnetic resonance is the most important distinguishing property of metamaterials to
examine many unusual phenomena. The resonant response of metamaterials can depend …

Because of difficulty processing the electronic medical record data of patients with
cerebrovascular disease, there is little mature recognition technology capable of identifying …

Background Identification of potential drug-target interactions (DTIs) with high accuracy is a
key step in drug discovery and repositioning, especially concerning specific drug targets …