Grammatical error correction (GEC) is one of the major tasks in natural language processing
(NLP) which has recently attracted great attention from researchers. The performance of …

5G technologies provide ubiquitous connectivity. However, 5G security is a particularly
important issue. Moreover, because public datasets are outdated, we need to create a self …

This paper discusses the chaos prediction of nonlinear systems using various neural
networks based on the modified substructure data-driven modeling architecture. In the …

Minutes of Meeting (ie MoM) is a part of almost every professional meeting which paves way
to track or handle workflow, and helps gather gist of the meeting content for the attendees as …

Automatic symptom identification plays a crucial role in assisting doctors during the
diagnosis process in Telemedicine. In general, physicians spend considerable time on …

Autonomous mobile robots (AMRs) are gaining popularity in various applications such as
logistics, manufacturing, and healthcare. One of the key challenges in deploying AMR is …

The volume of text data has grown drastically since the internet's inception, which has had a
profound impact on how data is gathered, analyzed, and understood. To address this issues …

Objective The objective of this study is to integrate PICO knowledge into the clinical research
text summarization process, aiming to enhance the model's comprehension of biomedical …

This paper explores the complex field of text summarization in Natural Language Processing
(NLP), with particular attention to the development and importance of semantic …

The selection of discriminative terms from large quantity of terms in text documents is helpful
for achieving better accuracy of text classification. To focus on the task of selecting …