A Survey on AI implementation in finance,(cyber) insurance and financial controlling

A Aleksandrova, V Ninova, Z Zhelev - Risks, 2023 - mdpi.com
Artificial intelligence is changing the world in unprecedented ways and redefining all areas
of human activity. In recent decades, the development of AI has progressed at an …

Moderating the role of the perceived security and endorsement on the relationship between per-ceived risk and intention to use the artificial intelligence in financial …

J Al-Gasawneh, A Al-Hawamleh… - … Journal of Data and …, 2022 - growingscience.com
Advancement of banking and financial investment has led to the rapid expansion of services
automation. The consistent increase of Artificial Intelligence (AI) usage in investment …

Avoiding uncertainty by measuring the impact of perceived risk on the intention to use financial artificial intelligence services

J Al-Gasawneh, A Alfityani, S Al-Okdeh… - Uncertain Supply …, 2022 - m.growingscience.com
The moderating role of influencer endorsement and perceived monetary benefits on the
relationship between perceived risk and financial artificial intelligence services was …

[PDF][PDF] Predicting COVID-19 based on environmental factors with machine learning

AB Abdulkareem, NS Sani, S Sahran… - … Automation & Soft …, 2021 - academia.edu
The coronavirus disease 2019 (COVID-19) has infected more than 50 million people in more
than 100 countries, resulting in a major global impact. Many studies on the potential roles of …

The mediating role of customer relationship management between e-supply chain management and competitive advantage

A Aloqool, M Alharafsheh, H Abdellatif… - … Journal of Data and …, 2022 - m.growingscience.com
The purpose of this study is to explore the role of implementing e-supply chain management
(E-SCM) on the competitive position of companies and whether implementing customer …

A novel real-time anti-spam framework

D Wu, W Shi, X Ma - ACM Transactions on Internet Technology (TOIT), 2021 - dl.acm.org
As one of the most pervasive current modes of communication, email needs to be fast and
reliable. However, spammers and attackers use it as a primary channel to conduct illegal …

[PDF][PDF] Improved fruitfly optimization with stacked residual deep learning based email classification

HJ Alshahrani, K Tarmissi, A Yafoz… - … Automation & Soft …, 2023 - researchgate.net
Applied linguistics means a wide range of actions which include addressing a few language-
based problems or solving some language-based concerns. Emails stay in the leading …

Personalized Classification of Non-Spam Emails Using Machine Learning Techniques

H Dinendra, C Rajapakse… - … Conference on Smart …, 2022 - ieeexplore.ieee.org
With the advent of computer networks and communications, emails have become one of the
most widely accepted communication means, which is faster, more reliable, cheaper, and …

Classification of Unwanted E-Mails (Spam) with Turkish Text by Different Algorithms in Weka Program

H Şimşek, E Aydemir - Journal of Soft Computing and Artificial …, 2022 - dergipark.org.tr
Today, with the widespread use of the Internet, electronic communication tools have also
been widely used. One of these tools is e-mails. E-mails are easy to use and provide the …

[PDF][PDF] Feature Selection Using Hybrid Metaheuristic Algorithm for Email Spam Detection

GH Al-Rawashdeh, OA Khashan… - Cybernetics and …, 2024 - sciendo.com
In the present study, Krill Herd (KH) is proposed as a Feature Selection tool to detect spam
email problems. This works by assessing the accuracy and performance of classifiers and …