An improved mutual information feature selection technique for intrusion detection systems in the Internet of Medical Things

M Alalhareth, SC Hong - Sensors, 2023 - mdpi.com
In healthcare, the Internet of Things (IoT) is used to remotely monitor patients and provide
real-time diagnoses, which is referred to as the Internet of Medical Things (IoMT). This …

[HTML][HTML] Improved bacterial foraging optimization with deep learning based anomaly detection in smart cities

MM Khayyat - Alexandria Engineering Journal, 2023 - Elsevier
Abstract The Internet of Things (IoT) contains many smart devices that collect, store,
communicate, and process data. IoT implementation has performed novel opportunities in …

Detection and classification of novel attacks and anomaly in IoT network using rule based deep learning model

S Chakraborty, SK Pandey, S Maity, L Dey - SN Computer Science, 2024 - Springer
Attackers are now using sophisticated techniques, like polymorphism, to change the attack
pattern for each new attack. Thus, the detection of novel attacks has become the biggest …

[HTML][HTML] Dynamic Cyberattack Simulation: Integrating Improved Deep Reinforcement Learning with the MITRE-ATT&CK Framework

SH Oh, J Kim, J Park - Electronics, 2024 - mdpi.com
As cyberattacks become increasingly sophisticated and frequent, it is crucial to develop
robust cybersecurity measures that can withstand adversarial attacks. Adversarial simulation …

[PDF][PDF] Analysis and price prediction of secondhand vehicles in Türkiye with big data and machine learning techniques

B Gülmez, S Kulluk - Journal of the Faculty of Engineering and …, 2023 - researchgate.net
Purpose: The purpose of this study is to analyze the secondhand vehicle dataset in Türkiye
and to estimate the price of cars with Apache Spark and Apache Spark machine learning …

The intelligent evaluation in ice and snow tourism based on LSTM network

J Li, H Yuan, X Yu, T Hu - Scientific Reports, 2024 - nature.com
In order to augment the efficacy of the intelligent evaluation model for assessing the
suitability of ice and snow tourism, this study refines the model by incorporating the Long …

[PDF][PDF] Deep learning based hybrid gold index (XAU/USD) direction forecast model

O Kantar, Z KİLİMCİ - Journal of the Faculty of Engineering and …, 2023 - academia.edu
Deep learning based hybrid gold index (XAU/USD) direction forecast model Page 1 Journal of
the Faculty of Engineering and Architecture of Gazi University 38:2 (2023) 1117-1128 Deep …

[PDF][PDF] Comparison of different machine learning techniques in river flow prediction

U Akbulut, MA Çifçi, B İşler, Z Aslan… - Journal of the Faculty of …, 2025 - researchgate.net
Purpose: River flow forecasting to ensure optimized use of water planning in future years
Theory and Methods: In this study, a hybrid model was obtained and analysed by comparing …

A comparative predictive maintenance application based on machine and deep learning

A Hatipoğlu, Y Güneri, E Yılmaz - 2024 - acikerisim.uludag.edu.tr
It has become imperative to monitor the data-driven industrial systems of today's technology
before potential failures occur. Predictive maintenance predicts these failures before they …

New Hybrid Distributed Attack Detection System for IoT

Ç Bakır - Bitlis Eren Üniversitesi Fen Bilimleri Dergisi, 2024 - dergipark.org.tr
IoT is expressed as a network of physical objects with applications and various technologies
that provide data connection and sharing with various devices and systems over the Internet …