Twenty years of machine-learning-based text classification: A systematic review

A Palanivinayagam, CZ El-Bayeh, R Damaševičius - Algorithms, 2023 - mdpi.com
Machine-learning-based text classification is one of the leading research areas and has a
wide range of applications, which include spam detection, hate speech identification …

[HTML][HTML] A state-of-the-art review in big data management engineering: Real-life case studies, challenges, and future research directions

The explosion of data volume in the digital age has completely changed the corporate and
industrial environments. In-depth analysis of large datasets to support strategic decision …

Analyzing amazon products sentiment: a comparative study of machine and deep learning, and transformer-based techniques

H Ali, E Hashmi, S Yayilgan Yildirim, S Shaikh - Electronics, 2024 - mdpi.com
In recent years, online shop** has surged in popularity, with customer reviews becoming
a crucial aspect of the decision-making process. Reviews not only help potential customers …

Enhancing e-learning adaptability with automated learning style identification and sentiment analysis: a hybrid deep learning approach for smart education

T Hussain, L Yu, M Asim, A Ahmed, MA Wani - Information, 2024 - mdpi.com
In smart education, adaptive e-learning systems personalize the educational process by
tailoring it to individual learning styles. Traditionally, identifying these styles relies on …

An assessment of lexical, network, and content‐based features for detecting malicious URLs using machine learning and deep learning models

M Aljabri, F Alhaidari, RMA Mohammad… - Computational …, 2022 - Wiley Online Library
The World Wide Web services are essential in our daily lives and are available to
communities through Uniform Resource Locator (URL). Attackers utilize such means of …

Multilingual personalized hashtag recommendation for low resource Indic languages using graph-based deep neural network

S Bansal, K Gowda, N Kumar - Expert Systems with Applications, 2024 - Elsevier
Users from different cultures and backgrounds often feel comfortable expressing their
thoughts on trending topics by generating content in their regional languages. Recently …

Large language models in neurology research and future practice

MF Romano, LC Shih, IC Paschalidis, R Au… - Neurology, 2023 - neurology.org
Recent advancements in generative artificial intelligence, particularly using large language
models (LLMs), are gaining increased public attention. We provide a perspective on the …

[HTML][HTML] Performance analysis of data-driven and physics-informed machine learning methods for thermal-hydraulic processes in Full-scale Emplacement experiment

G Hu, N Prasianakis, SV Churakov… - Applied Thermal …, 2024 - Elsevier
This study centers on the critical aspect of thermal management in deep geological
repositories, particularly concerning the heat induced by radioactive nuclear waste. It …

Digital criminal investigations in the era of artificial intelligence: A comprehensive overview

RSA Faqir - International Journal of Cyber Criminology, 2023 - cybercrimejournal.com
Artificial Intelligence (AI) has been integrated within digital criminal investigations
comprehensively with the help of associated methodologies, legal ramifications, and its …

Challenges and limitation analysis of an IoT-dependent system for deployment in smart healthcare using communication standards features

S Upadhyay, M Kumar, A Upadhyay, S Verma, Kavita… - Sensors, 2023 - mdpi.com
The use of IoT technology is rapidly increasing in healthcare development and smart
healthcare system for fitness programs, monitoring, data analysis, etc. To improve the …