Deep Learning for Natural Language Processing (NLP) and Image Classification (IC)

Dear Colleagues,

This Special Issue will be an assemblage of the latest advancements in deep learning, particularly focusing on its applications in Natural Language Processing (NLP) and Image Classification (IC). The goal is to present a diverse range of novel ideal and empirical results, covering both theoretical foundations and practical implementations. This encompasses the utilization of artificial intelligence, machine learning, and deep learning for processing large datasets obtained from various sources such as satellites, scientific explorations, sensor networks, and medical diagnostics.

A part of this Special Issue is dedicated to the comparative of deep learning models. This involves a critical evaluation of these models in terms of their efficiency and accuracy across diverse datasets and real-world scenarios. The process aims to provide insights into the generalizability and interpretability of these models, thereby fostering advancements in their practical applicability.

Topics of interest include, but are not limited to, the following:

• Artificial intelligence tools and applications;
• Natural Language Processing;
• Speech recognition;
• Comparative of deep learning models;
• Intelligent system.

Prof. Dr. Abdelhamid Tayebi Tayebi
Prof. Dr. Josefa Gómez
Prof. Dr. Carlos Delgado
Guest Editors

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