Detection of cross-site scripting (XSS) attacks using machine learning techniques: a review

J Kaur, U Garg, G Bathla - Artificial Intelligence Review, 2023 - Springer
With the rising demand for E-commerce, Social Networking websites, it has become
essential to develop security protocols over the World Wide Web that can provide security …

Recent trends in mathematical expressions recognition: An LDA-based analysis

V Kukreja - Expert Systems with Applications, 2023 - Elsevier
Context Although recognition works on mathematical expressions have been explored for
four decades, the current literature and trends are varied and frequently influenced by …

Improving short text classification with augmented data using GPT-3

SV Balkus, D Yan - Natural Language Engineering, 2024 - cambridge.org
GPT-3 is a large-scale natural language model developed by OpenAI that can perform many
different tasks, including topic classification. Although researchers claim that it requires only …

LCDAE: data augmented ensemble framework for lung cancer classification

Z Ren, Y Zhang, S Wang - Technology in Cancer Research …, 2022 - journals.sagepub.com
Objective: The only possible solution to increase the patients' fatality rate is lung cancer
early-stage detection. Recently, deep learning techniques became the most promising …

Artificial intelligence analysis in cyber domain: A review

L Zhao, D Zhu, W Shafik… - International …, 2022 - journals.sagepub.com
The application of Big Data Analytics is identified through the Cyber Research Alliance for
cybersecurity as the foremost preference for future studies and advancement in the field of …

Automatic pediatric congenital heart disease classification based on heart sound signal

W Xu, K Yu, J Ye, H Li, J Chen, F Yin, J Xu, J Zhu… - Artificial Intelligence in …, 2022 - Elsevier
Congenital heart diseases (CHD) are the most common birth defects, and the early
diagnosis of CHD is crucial for CHD therapy. However, there are relatively few studies on …

[HTML][HTML] A systematic comparison of search-based approaches for LDA hyperparameter tuning

A Panichella - Information and Software Technology, 2021 - Elsevier
Abstract Context: Latent Dirichlet Allocation (LDA) has been successfully used in the
literature to extract topics from software documents and support developers in various …

Internet of Things‐based healthcare system on patient demographic data in Health 4.0

FJ Abdullayeva - CAAI Transactions on Intelligence …, 2022 - Wiley Online Library
Recently, the spread of COVID‐19 virus infection and the increase of people number with
chronic diseases have attracted great attention all over the world. The detection and control …

Combination of GRU and CNN deep learning models for sentiment analysis on French customer reviews using XLNet model

N Habbat, H Anoun, L Hassouni - IEEE Engineering …, 2022 - ieeexplore.ieee.org
Sentiment analysis is the task of detecting opinions of people from text using techniques of
natural language processing. It is critical in assisting businesses in actively improving their …

BMRI-NET: A deep stacked ensemble model for multi-class brain tumor classification from MRI images

S Asif, M Zhao, X Chen, Y Zhu - Interdisciplinary Sciences: Computational …, 2023 - Springer
Brain tumors are one of the most dangerous health problems for adults and children in many
countries. Any failure in the diagnosis of brain tumors may lead to shortening of human life …