A survey on applications of artificial intelligence for pre-parametric project cost and soil shear-strength estimation in construction and geotechnical engineering

S Sharma, S Ahmed, M Naseem, WS Alnumay, S Singh… - Sensors, 2021 - mdpi.com
Ensuring soil strength, as well as preliminary construction cost and duration prediction, is a
very crucial and preliminary aspect of any construction project. Similarly, building strong …

Credit card fraud detection using state-of-the-art machine learning and deep learning algorithms

FK Alarfaj, I Malik, HU Khan, N Almusallam… - IEEE …, 2022 - ieeexplore.ieee.org
People can use credit cards for online transactions as it provides an efficient and easy-to-
use facility. With the increase in usage of credit cards, the capacity of credit card misuse has …

A systematic review of literature on credit card cyber fraud detection using machine and deep learning

EALM Btoush, X Zhou, R Gururajan, KC Chan… - PeerJ Computer …, 2023 - peerj.com
The increasing spread of cyberattacks and crimes makes cyber security a top priority in the
banking industry. Credit card cyber fraud is a major security risk worldwide. Conventional …

Credit card fraud detection using machine learning

R Sailusha, V Gnaneswar, R Ramesh… - 2020 4th international …, 2020 - ieeexplore.ieee.org
Credit card fraud detection is presently the most frequently occurring problem in the present
world. This is due to the rise in both online transactions and e-commerce platforms. Credit …

Internet financial fraud detection based on a distributed big data approach with node2vec

H Zhou, G Sun, S Fu, L Wang, J Hu, Y Gao - IEEE Access, 2021 - ieeexplore.ieee.org
The rapid development of information technologies like Internet of Things, Big Data, Artificial
Intelligence, Blockchain, etc., has profoundly affected people's consumption behaviors and …

An Xgboost based system for financial fraud detection

LEI Shimin, XU Ke, Y Huang… - E3S Web of …, 2020 - e3s-conferences.org
Credit card fraud leads to billions of losses in online transaction. Many corporations like
Alibaba, Amazon and Paypal invest billions of dollars to build a safe transaction system …

An Optimized Deep Learning Approach for Detecting Fraudulent Transactions

S El Kafhali, M Tayebi, H Sulimani - Information, 2024 - mdpi.com
The proliferation of new technologies and advancements in existing ones are altering our
perspective of the world. So, continuous improvements are needed. A connected world filled …

An adaptive approach on credit card fraud detection using transaction aggregation and word embeddings

A Yeşilkanat, B Bayram, B Köroğlu, S Arslan - … and Innovations: 16th IFIP …, 2020 - Springer
Due to the surge of interest in online retailing, the use of credit cards has been rapidly
expanded in recent years. Stealing the card details to perform online transactions, which is …

Ensemble Synthesized Minority Oversampling based Generative Adversarial Networks and Random Forest Algorithm for Credit Card Fraud Detection

FA Ghaleb, F Saeed, M Al-Sarem, SN Qasem… - IEEE …, 2023 - ieeexplore.ieee.org
The recent increase in credit card fraud is rapidly has caused huge monetary losses for
individuals and financial institutions. Most credit card frauds are conducted online by …

[HTML][HTML] An online fuzzy fraud detection framework for credit card transactions

G Charizanos, H Demirhan, D İçen - Expert Systems with Applications, 2024 - Elsevier
Credit card transaction fraud is one of the challenging security concerns for financial firms
globally. The continuously changing environment of fraud characteristics and the class …