Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002–2023

M Jafari, D Sadeghi, A Shoeibi, H Alinejad-Rokny… - Applied …, 2024 - Springer
Schizophrenia (SZ) is a prevalent mental disorder characterized by cognitive, emotional,
and behavioral changes. Symptoms of SZ include hallucinations, illusions, delusions, lack of …

CNN-CNN: dual convolutional neural network approach for feature selection and attack detection on internet of things networks

BA Alabsi, M Anbar, SDA Rihan - Sensors, 2023 - mdpi.com
The Internet of Things (IoT) has brought significant advancements that have connected our
world more closely than ever before. However, the growing number of connected devices …

A multilayer stacking method base on RFE-SHAP feature selection strategy for recognition of driver's mental load and emotional state

J Huang, Y Peng, L Hu - Expert Systems with Applications, 2024 - Elsevier
The driver state monitoring is becoming one of the research hotspots in the field of traffic and
vehicle safety, which can ensure driving safety by monitoring the driver's state. Therefore …

Stochastic gradient descent classifier-based lightweight intrusion detection systems using the efficient feature subsets of datasets

J Azimjonov, T Kim - Expert Systems with Applications, 2024 - Elsevier
Abstract The Internet of Things (IoT) has become an essential part of our daily lives.
However, with the increasing use of IoT, the number of botnet attacks targeting resource …

Identifying content unaware features influencing popularity of videos on YouTube: A study based on seven regions

Z Halim, S Hussain, RH Ali - Expert Systems with Applications, 2022 - Elsevier
Predicting the popularity of User Generated Content (UGC) is a subject of interest to the
Internet service providers, content makers, social media researchers, and online advertisers …

Fast Genetic Algorithm for feature selection—A qualitative approximation approach

MG Altarabichi, S Nowaczyk, S Pashami… - Proceedings of the …, 2023 - dl.acm.org
We propose a two-stage surrogate-assisted evolutionary approach to address the
computational issues arising from using Genetic Algorithm (GA) for feature selection in a …

Robust stacking ensemble model for darknet traffic classification under adversarial settings

H Mohanty, AH Roudsari, AH Lashkari - Computers & Security, 2022 - Elsevier
Encrypted traffic tunnelled by Tor or VPN is referred to as darknet traffic. The ability to detect,
identify, and characterize darknet traffic is critical for detecting network traffic generated by a …

Sin-Cos-bIAVOA: A new feature selection method based on improved African vulture optimization algorithm and a novel transfer function to DDoS attack detection

Z Sharifian, B Barekatain, AA Quintana… - Expert Systems with …, 2023 - Elsevier
Abstract Internet of Things (IoT) services and devices have raised numerous challenges
such as connectivity, computation, and security. Therefore, networks should provide and …

[HTML][HTML] Golden jackal optimization algorithm with deep learning assisted intrusion detection system for network security

NO Aljehane, HA Mengash, MM Eltahir… - Alexandria Engineering …, 2024 - Elsevier
Network security is essential to our daily communications and networks. Cybersecurity
researchers initiate the significance of emerging proficient network intrusion detection …

A new fuzzy-based classification method for use in smart/precision medicine

E Zaitseva, V Levashenko, J Rabcan, M Kvassay - Bioengineering, 2023 - mdpi.com
The development of information technology has had a significant impact on various areas of
human activity, including medicine. It has led to the emergence of the phenomenon of …