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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 …
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 …
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
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 …
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
As cyberattacks become increasingly sophisticated and frequent, it is crucial to develop
robust cybersecurity measures that can withstand adversarial attacks. Adversarial simulation …
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
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 …
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 …
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 …
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
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 …
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 …
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 …
that provide data connection and sharing with various devices and systems over the Internet …