Artificial intelligence in digital marketing: Insights from a comprehensive review

C Ziakis, M Vlachopoulou - Information, 2023 - mdpi.com
Artificial intelligence (AI) has rapidly emerged as a transformative force in multiple sectors,
with digital marketing being a prominent beneficiary. As AI technologies continue to …

Android ransomware detection using supervised machine learning techniques based on traffic analysis

A Albin Ahmed, A Shaahid, F Alnasser, S Alfaddagh… - Sensors, 2023 - mdpi.com
In today's digitalized era, the usage of Android devices is being extensively witnessed in
various sectors. Cybercriminals inevitably adapt to new security technologies and utilize …

Financial fraud detection based on machine and deep learning: A review

Z Rojan - The Indonesian Journal of Computer Science, 2024 - ijcs.net
Financial fraud detection is crucial for protecting the integrity of financial markets and
institutions globally. Recent advancements in machine learning (ML) and deep learning …

[HTML][HTML] Arabic Spam Tweets Classification: A Comprehensive Machine Learning Approach

WH Hantom, A Rahman - AI, 2024 - mdpi.com
Nowadays, one of the most common problems faced by Twitter (also known as X) users,
including individuals as well as organizations, is dealing with spam tweets. The problem …

Ad Click Fraud Detection Using Machine Learning and Deep Learning Algorithms

RA Alzahrani, M Aljabri, RMA Mohammad - IEEE Access, 2025 - ieeexplore.ieee.org
In online advertising, click fraud poses a significant challenge, draining budgets and
threatening the industry's integrity by redirecting funds away from legitimate advertisers …

[HTML][HTML] Ransomware detection based on machine learning using memory features

M Aljabri, F Alhaidari, A Albuainain, S Alrashidi… - Egyptian Informatics …, 2024 - Elsevier
Ransomware attacks have escalated recently and are affecting essential infrastructure and
enterprises across the globe. Unfortunately, ransomware uses sophisticated encryption …

A comprehensive review of machine learning applications in cybersecurity: identifying gaps and advocating for cybersecurity auditing

N Rananga, HS Venter - 2024 - researchsquare.com
Cybersecurity threats present significant challenges in the ever-evolving landscape of
information and communication technology (ICT). As a practical approach to counter these …

GemmaWithLoRA: A New Approach to Click Fraud Detection

B Dai, L Wang, X Zhao, Y Guo… - … , and Informatics (CCCI), 2024 - ieeexplore.ieee.org
With the rapid development of artificial intelligence technology, pre-trained large language
models (LLMs) have demonstrated their powerful application potential in various fields. Click …

İLETİŞİM VE HALKLA İLİŞKİLER PERSPEKTİFİNDE YAPAY ZEKA UYGULAMALI KURUMSAL REKLAMIN GÖSTERGEBİLİMSEL ANALİZİ

O Tos - Adıyaman Üniversitesi Sosyal Bilimler Enstitüsü …, 2024 - dergipark.org.tr
Bir kurumunun imajının doğru bir şekilde geliştirilmesi, insanlar arasında pozitif yönlü
yayılmasının sağlanması ve imajın yerleştirilmesi amacıyla kurumsal reklamlardan …

Combating Evolving Threats: A Systematic Review of Online Ad Fraud Detection

S Baranidharan, D Winster, K Dhanalakshmi… - Avoiding Ad Fraud and …, 2025 - igi-global.com
This systematic review investigates online ad fraud detection and brand safety research from
2011 to 2024. The analysis reveals a continuous battle against click fraud and its evolving …