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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 …
Deep learning for iris recognition: A survey
In this survey, we provide a comprehensive review of more than 200 articles, technical
reports, and GitHub repositories published over the last 10 years on the recent …
reports, and GitHub repositories published over the last 10 years on the recent …
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 …
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 …
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 …
Customer profiling, segmentation, and sales prediction using AI in direct marketing
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 …
[HTML][HTML] DL-AMDet: Deep learning-based malware detector for android
The Android operating system, with its market share leadership and open-source nature in
smartphones, has become the primary target of malware. However, detecting malicious …
smartphones, has become the primary target of malware. However, detecting malicious …
A deep learning technique to detect distributed denial of service attacks in software-defined networks
Abstract Software-Defined Network (SDN) is an established networking paradigm that
separates the control plane from the data plane. It has central network control, and …
separates the control plane from the data plane. It has central network control, and …
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 **, 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 …