Survey of credit card anomaly and fraud detection using sampling techniques

M Alamri, M Ykhlef - Electronics, 2022 - mdpi.com
The rapid growth in e-commerce has resulted in an increasing number of people shopping
online. These shoppers depend on credit cards as a payment method or use mobile wallets …

Predicting driver takeover performance in conditionally automated driving

N Du, F Zhou, EM Pulver, DM Tilbury, LP Robert… - Accident Analysis & …, 2020 - Elsevier
In conditionally automated driving, drivers have difficulty taking over control when requested.
To address this challenge, we aimed to predict drivers' takeover performance before the …

Safety evaluation and prediction of takeover performance in automated driving considering drivers' cognitive load: A driving simulator study

Y Liu, C Wu, H Zhang, N Ding, Y Xiao, Q Zhang… - … research part F: traffic …, 2024 - Elsevier
Automated vehicles alleviate the need for driver attention and control. However, a takeover
request (TOR) to the driver remains essential for emergencies and safety–critical scenarios …

Hybrid undersampling and oversampling for handling imbalanced credit card data

M Alamri, M Ykhlef - IEEE Access, 2024 - ieeexplore.ieee.org
Recent developments in the use of credit cards for a range of daily life activities have
increased credit card fraud and caused huge financial losses for individuals and financial …

WDP-BNN: Efficient wafer defect pattern classification via binarized neural network

Q Zhang, Y Zhang, J Li, Y Li - Integration, 2022 - Elsevier
Wafer map defect pattern classification using convolutional neural network (CNN) has
gained a lot of attention in recent years but it demands huge computation and memory cost …

Customised-sampling approach for pipe failure prediction in water distribution networks

M Latifi, R Beig Zali, AA Javadi, R Farmani - Scientific Reports, 2024 - nature.com
This paper presents a new methodology for addressing imbalanced class data for failure
prediction in Water Distribution Networks (WDNs). The proposed methodology relies on …

Review of Class Imbalance Dataset Handling Techniques for Depression Prediction and Detection

S Ndaba - Available at SSRN 4387416, 2023 - papers.ssrn.com
Depression is a prevailing mental disturbance affecting an individual's thinking and mental
development. There have been much research demonstrating effective automated …

Data Balancing Approach Using Combine Sampling on Sentiment Analysis With K-Nearest Neighbor

EP Kondy, S Siswanto, N Ilyas - Sistemasi: Jurnal Sistem Informasi, 2024 - sistemasi.org
One of the topics that has been discussed on twitter is the rules regarding the removal of
masks. However, there's a chance that the data from Twitter contains unequal data classes …

Two-lane DNN equalizer using balanced random-oversampling for W-band PS-16QAM ROF delivery over 4.6 km

S Xu, B Sang, L Zeng, L Zhao - Sensors, 2023 - mdpi.com
For W-band long-range mm-wave wireless transmission systems, nonlinearity issues
resulting from photoelectric devices, optical fibers, and wireless power amplifiers can be …

4Gbaud PS-16QAM D-band fiber-wireless transmission over 4.6 km by using balance complex-valued NN equalizer with random oversampling

T Xie, J Yu - Sensors, 2023 - mdpi.com
D-band (110–170 GHz) is a promising direction for the future of 6th generation mobile
networks (6G) for high-speed mobile communication since it has a large available …