[HTML][HTML] 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 …

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 …

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 …

Large language models in neurology research and future practice

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

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 …

[HTML][HTML] 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 …

[HTML][HTML] 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 shopping has surged in popularity, with customer reviews becoming
a crucial aspect of the decision-making process. Reviews not only help potential customers …

[HTML][HTML] A model of integrating convolution and BiGRU dual-channel mechanism for Chinese medical text classifications

X Li, Y Zhang, J Jin, F Sun, N Li, S Liang - Plos one, 2023 - journals.plos.org
Recently, a lot of Chinese patients consult treatment plans through social networking
platforms, but the Chinese medical text contains rich information, including a large number …

[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 …

[HTML][HTML] Enhancing E-Learning Adaptability with Automated Learning Style Identification and Sentiment Analysis: A Hybrid Deep Learning Approach for Smart …

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 …