The emerging threat of ai-driven cyber attacks: A review

B Guembe, A Azeta, S Misra, VC Osamor… - Applied Artificial …, 2022 - Taylor & Francis
Cyberattacks are becoming more sophisticated and ubiquitous. Cybercriminals are
inevitably adopting Artificial Intelligence (AI) techniques to evade the cyberspace and cause …

A comprehensive review on deep learning algorithms: Security and privacy issues

M Tayyab, M Marjani, NZ Jhanjhi, IAT Hashem… - Computers & …, 2023 - Elsevier
Abstract Machine Learning (ML) algorithms are used to train the machines to perform
various complicated tasks that begin to modify and improve with experiences. It has become …

Effectiveness of fine-tuned BERT model in classification of helpful and unhelpful online customer reviews

M Bilal, AA Almazroi - Electronic Commerce Research, 2023 - Springer
The problem of information overload in online review platforms has seriously hampered
many customers' ability to evaluate the quality of products or businesses when making …

Learning political polarization on social media using neural networks

L Belcastro, R Cantini, F Marozzo, D Talia… - IEEE …, 2020 - ieeexplore.ieee.org
Social media analysis is a fast growing research area aimed at extracting useful information
from social media platforms. This paper presents a methodology, called IOM-NN (Iterative …

[HTML][HTML] How to shape academic freedom in the digital age? Are the retractions of opinionated papers a prelude to “cancel culture” in academia?

JAT da Silva - Current Research in Behavioral Sciences, 2021 - Elsevier
When academics' opinions, which are published in academic journals as letters to the editor
or commentaries, are retracted based on sensitivities and objections that are raised for …

PERSONACHATGEN: Generating personalized dialogues using GPT-3

YJ Lee, CG Lim, Y Choi, JH Lm… - Proceedings of the 1st …, 2022 - aclanthology.org
Recently, many prior works have made their own agents generate more personalized and
engaging responses using personachat. However, since this dataset is frozen in 2018, the …

Profiling reviewers' social network strength and predicting the “Helpfulness” of online customer reviews

M Bilal, M Marjani, IAT Hashem, N Malik… - Electronic Commerce …, 2021 - Elsevier
Online customer reviews have become a popular source of information that influences the
purchasing decisions of many prospective customers. However, the rapidly increasing …

Smart cities data: Framework, applications, and challenges

M Bilal, RSA Usmani, M Tayyab, AA Mahmoud… - Handbook of smart …, 2020 - Springer
Recent technological developments and the availability of enormous amounts of real-time
data have played a vital role in the expansion, evolution, and success of smart city projects …

A data-driven approach for university public opinion analysis and its applications

M He, C Ma, R Wang - Applied Sciences, 2022 - mdpi.com
In the era of mobile Internet, college students increasingly tend to express their opinions and
views through online social media; furthermore, social media influence the value judgments …

A multimodal author profiling system for tweets

C Suman, A Naman, S Saha… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The rising usage of social media has motivated to invent different methodologies of
anonymous writing, which leads to an increase in malicious and suspicious activities. This …