Ontology and knowledge-based systems typically provide e-learning recommender systems. However, ontology use in such systems is not well studied in systematic detail. Therefore …
S Ghosh, A Caliskan - Proceedings of the 2023 AAAI/ACM Conference …, 2023 - dl.acm.org
In this multicultural age, language translation is one of the most performed tasks, and it is becoming increasingly AI-moderated and automated. As a novel AI system, ChatGPT claims …
Text-based recommendation holds a wide range of practical applications due to its versatility, as textual descriptions can represent nearly any type of item. However, directly …
H Alqahtani, G Kumar - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
This paper delves into the transformative role of machine learning (ML) techniques in revolutionizing the security of electric and flying vehicles (EnFVs). By exploring key domains …
The recommender system (RS) has been an integral toolkit of online services. They are equipped with various deep learning techniques to model user preference based on …
Emotions have a crucial function in the mental existence of humans. They are vital for identifying a person's behaviour and mental condition. Speech Emotion Recognition (SER) …
K Shaukat, TM Alam, IA Hameed… - … on automation and …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) is the new appearing technology and produces big data nowadays. Today, IoT is primarily a vision that dictates that everything should be …
Unemployment constitutes one of the major problems in developing countries, with factors such as unavailable skills and the proliferation of unskilled workers being cited as main …
Over the years, personalisation in e‐learning has evolved as a promising paradigm for matching learners' specific requirements. Although many literature reviews on personalised …