Currently used network-intrusion detection systems (NIDSs) using deep learning have limitations in processing large amounts of data in real time. This is because collecting flow …
Recently, the Internet of Things (IoT) has been used in various applications such as manufacturing, transportation, agriculture, and healthcare that can enhance efficiency and …
N Khan, SU Khan, SW Baik - Computer Systems Science & …, 2024 - researchgate.net
Energy management systems for residential and commercial buildings must use an appropriate and efficient model to predict energy consumption accurately. To deal with the …
R Gürfidan, M ERSOY - Gazi Mühendislik Bilimleri Dergisi, 2023 - dergipark.org.tr
In this study, a data set containing air pollution information collected from different locations was used. This dataset contains air pollution measurement information and results …
Security and privacy are greatly enhanced by intrusion detection systems. Now, Machine Learning (ML) and Deep Learning (DL) with Intrusion Detection Systems (IDS) have seen …
Blockchain is the foundation of all cryptocurrencies, while machine learning (ML) is one of the most popular technologies with a wide range of possibilities. Blockchain may be …