We have analyzed 127 publications for this review paper, which discuss applications of
Reinforcement Learning (RL) in marketing, robotics, gaming, automated cars, natural …

Deep reinforcement learning (DRL) has empowered a variety of artificial intelligence fields,
including pattern recognition, robotics, recommendation systems, and gaming. Similarly …

Text summarization is a subtask of natural language processing referring to the automatic
creation of a concise and fluent summary that captures the main ideas and topics from one …

Online banking has become increasingly popular in recent years, making it a target for
cyberattacks. Banks have implemented various user authentication methods to protect their …

Specifically focusing on the landscape of abstractive text summarization, as opposed to
extractive techniques, this survey presents a comprehensive overview, delving into state-of …

Several metaheuristic algorithms have been implemented to solve global optimization
issues. Nevertheless, these approaches require more enhancement to strike a suitable …

Automatic text generation is the generation of natural language text by machines. Enabling
machines to generate readable and coherent text is one of the most vital yet challenging …

Natural Language Processing (NLP) is the computerized approach to analyzing text using
both structured and unstructured data. NLP is a simple, empirically powerful, and reliable …