Adventures in data analysis: A systematic review of Deep Learning techniques for pattern recognition in cyber-physical-social systems
Abstract Machine Learning (ML) and Deep Learning (DL) have achieved high success in
many textual, auditory, medical imaging, and visual recognition patterns. Concerning the …
many textual, auditory, medical imaging, and visual recognition patterns. Concerning the …
A novel combined approach based on deep Autoencoder and deep classifiers for credit card fraud detection
H Fanai, H Abbasimehr - Expert Systems with Applications, 2023 - Elsevier
Due to the growth of e-commerce and online payment methods, the number of fraudulent
transactions has increased. Financial institutions with online payment systems must utilize …
transactions has increased. Financial institutions with online payment systems must utilize …
[HTML][HTML] Deep Q-learning based reinforcement learning approach for network intrusion detection
The rise of the new generation of cyber threats demands more sophisticated and intelligent
cyber defense solutions equipped with autonomous agents capable of learning to make …
cyber defense solutions equipped with autonomous agents capable of learning to make …
LSTM-autoencoder-based anomaly detection for indoor air quality time-series data
Anomaly detection for indoor air quality (IAQ) data has become an important area of
research as the quality of air is closely related to human health and well-being. However …
research as the quality of air is closely related to human health and well-being. However …
A few-shot meta-learning based siamese neural network using entropy features for ransomware classification
Ransomware defense solutions that can quickly detect and classify different ransomware
classes to formulate rapid response plans have been in high demand in recent years …
classes to formulate rapid response plans have been in high demand in recent years …
Anomaly detection in Internet of medical Things with Blockchain from the perspective of deep neural network
J Wang, H Jin, J Chen, J Tan, K Zhong - Information Sciences, 2022 - Elsevier
IoMT technology has many advantages in healthcare system, such as optimizing the
medical service model, improving the efficiency of hospital operation and management, and …
medical service model, improving the efficiency of hospital operation and management, and …
[HTML][HTML] Customer profiling, segmentation, and sales prediction using AI in direct marketing
MSE Kasem, M Hamada, I Taj-Eddin - Neural Computing and Applications, 2024 - Springer
In the current business environment, where the customer is the primary focus, effective
communication between marketing and senior management is vital for success. Effective …
communication between marketing and senior management is vital for success. Effective …
Fusion-based anomaly detection system using modified isolation forest for internet of things
In recent years, advanced threat and zero day attacks are increasing significantly, but the
traditional network intrusion detection system based on feature filtering or based on a well …
traditional network intrusion detection system based on feature filtering or based on a well …
[HTML][HTML] Artificial intelligence-enabled DDoS detection for blockchain-based smart transport systems
A smart public transport system is expected to be an integral part of our human lives to
improve our mobility and reduce the effect of our carbon footprint. The safety and ongoing …
improve our mobility and reduce the effect of our carbon footprint. The safety and ongoing …
[HTML][HTML] Improved bidirectional GAN-based approach for network intrusion detection using one-class classifier
Existing generative adversarial networks (GANs), primarily used for creating fake image
samples from natural images, demand a strong dependence (ie, the training strategy of the …
samples from natural images, demand a strong dependence (ie, the training strategy of the …