Knowledge graphs: Opportunities and challenges

C Peng, F Xia, M Naseriparsa, F Osborne - Artificial Intelligence Review, 2023 - Springer
With the explosive growth of artificial intelligence (AI) and big data, it has become vitally
important to organize and represent the enormous volume of knowledge appropriately. As …

[HTML][HTML] A systematic review of ontology use in E-Learning recommender system

NW Rahayu, R Ferdiana, SS Kusumawardani - Computers and Education …, 2022 - Elsevier
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 …

Chatgpt perpetuates gender bias in machine translation and ignores non-gendered pronouns: Findings across bengali and five other low-resource languages

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 …

Llm-rec: Personalized recommendation via prompting large language models

H Lyu, S Jiang, H Zeng, Y Xia, Q Wang… - arXiv preprint arXiv …, 2023 - arxiv.org
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 …

Machine learning for enhancing transportation security: A comprehensive analysis of electric and flying vehicle systems

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 …

Multimodal recommender systems: A survey

Q Liu, J Hu, Y Xiao, X Zhao, J Gao, W Wang… - ACM Computing …, 2023 - dl.acm.org
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 …

Human–computer interaction with a real-time speech emotion recognition with ensembling techniques 1D convolution neural network and attention

W Alsabhan - Sensors, 2023 - mdpi.com
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) …

A review on security challenges in internet of things (IoT)

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 …

CoBERT: A Contextual BERT model for recommending employability profiles of information technology students in unstable developing countries

HN Mpia, LW Mburu, SN Mwendia - Engineering Applications of Artificial …, 2023 - Elsevier
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 …

Personalisation methods in e‐learning‐A literature review

V Mikić, M Ilić, L Kopanja… - Computer Applications in …, 2022 - Wiley Online Library
Over the years, personalisation in e‐learning has evolved as a promising paradigm for
matching learners' specific requirements. Although many literature reviews on personalised …