Artificial intelligence in digital marketing: Insights from a comprehensive review
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 …
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 …
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 …
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 …
including individuals as well as organizations, is dealing with spam tweets. The problem …
Ad Click Fraud Detection Using Machine Learning and Deep Learning Algorithms
In online advertising, click fraud poses a significant challenge, draining budgets and
threatening the industry's integrity by redirecting funds away from legitimate advertisers …
threatening the industry's integrity by redirecting funds away from legitimate advertisers …
[HTML][HTML] Ransomware detection based on machine learning using memory features
Ransomware attacks have escalated recently and are affecting essential infrastructure and
enterprises across the globe. Unfortunately, ransomware uses sophisticated encryption …
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 …
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 …
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 …
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 …
2011 to 2024. The analysis reveals a continuous battle against click fraud and its evolving …