Browsing Technological University of the Shannon: Midlands Midwest by Subject "Neural networks"
Now showing items 1-4 of 4
-
Deep neural networks for sequence based anomaly detection in cyber security
(Athlone Institute of Technology, 2019)Cyber security has become one of the most challenging aspects of modern world digital technology and it has become imperative to minimize and possibly avoid the impact of cybercrimes. Host based intrusion detection systems ... -
FireNet: a specialized lightweight fire & smoke detection model for real-time IoT applications.
(arXiv, 2018-05-28)Fire disasters typically result in lot of loss to life and property. It is therefore imperative that precise, fast, and possibly portable solutions to detect fire be made readily available to the masses at reasonable ... -
Low-complexity high-performance deep learning model for real time low cost embedded fire detection system.
(Elsevier, 2020)Correct and timely detection of fires has been an active area of research. Both shallow learning (with manual feature engineering), as well as deep learning (with its promise of automatically extracting meaningful ... -
A new image encryption algorithm based on heterogeneous chaotic neural network generator and dna encoding.
(Springer, 2018-02)This paper presents a new combined neural network and chaos based pseudorandom sequence generator and a DNA-rules based chaotic encryption algorithm for secure transmission and storage of images. The proposed scheme uses ...