Deep learning-based intrusion detection systems: a systematic review
Nowadays, the ever-increasing complication and severity of security attacks on computer
networks have inspired security researchers to incorporate different machine learning …
networks have inspired security researchers to incorporate different machine learning …
Contactless WiFi sensing and monitoring for future healthcare-emerging trends, challenges, and opportunities
WiFi sensing has received recent and significant interest from academia, industry,
healthcare professionals, and other caregivers (including family members) as a potential …
healthcare professionals, and other caregivers (including family members) as a potential …
Classification and explanation for intrusion detection system based on ensemble trees and SHAP method
In recent years, many methods for intrusion detection systems (IDS) have been designed
and developed in the research community, which have achieved a perfect detection rate …
and developed in the research community, which have achieved a perfect detection rate …
A novel statistical analysis and autoencoder driven intelligent intrusion detection approach
In the current digital era, one of the most critical and challenging issues is ensuring
cybersecurity in information technology (IT) infrastructures. With significant improvements in …
cybersecurity in information technology (IT) infrastructures. With significant improvements in …
A convolutional neural network approach for classification of dementia stages based on 2D-spectral representation of EEG recordings
A data-driven machine deep learning approach is proposed for differentiating subjects with
Alzheimer's Disease (AD), Mild Cognitive Impairment (MCI) and Healthy Control (HC), by …
Alzheimer's Disease (AD), Mild Cognitive Impairment (MCI) and Healthy Control (HC), by …
Sentiment analysis of persian movie reviews using deep learning
Sentiment analysis aims to automatically classify the subject's sentiment (eg, positive,
negative, or neutral) towards a particular aspect such as a topic, product, movie, news, etc …
negative, or neutral) towards a particular aspect such as a topic, product, movie, news, etc …
Generative deep learning to detect cyberattacks for the IoT-23 dataset
N Abdalgawad, A Sajun, Y Kaddoura… - IEEE …, 2021 - ieeexplore.ieee.org
The rapid growth of Internet of Things (IoT) is expected to add billions of IoT devices
connected to the Internet. These devices represent a vast attack surface for cyberattacks. For …
connected to the Internet. These devices represent a vast attack surface for cyberattacks. For …
Xgboost hyperparameters tuning by fitness-dependent optimizer for network intrusion detection
Network intrusion detection systems are frequently utilized for attack detection and network
protection. However, one of the frequent issues intrusion detection systems face is the false …
protection. However, one of the frequent issues intrusion detection systems face is the false …
IoT security in healthcare using AI: A survey
SS Gopalan, A Raza… - … , Signal Processing, and …, 2021 - ieeexplore.ieee.org
Internet of Things (IoT) and Artificial Intelligence (AI) has led the digital transformation in
modern healthcare. With any kind of digital transformation, security challenges must be …
modern healthcare. With any kind of digital transformation, security challenges must be …
Novel deep convolutional neural network-based contextual recognition of Arabic handwritten scripts
R Ahmed, M Gogate, A Tahir, K Dashtipour… - Entropy, 2021 - mdpi.com
Offline Arabic Handwriting Recognition (OAHR) has recently become instrumental in the
areas of pattern recognition and image processing due to its application in several fields …
areas of pattern recognition and image processing due to its application in several fields …