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Found 4 papers, 3 papers with code
Dynamic Mode Decomposition based feature for Image Classification
Irrespective of the fact that Machine learning has produced groundbreaking results, it demands an enormous amount of data in order to perform so.
Data-driven Computing in Elasticity via Chebyshev Approximation
This paper proposes a data-driven approach for computing elasticity by means of a non-parametric regression approach rather than an optimization approach.
Computational Engineering, Finance, and Science
A Compendium on Network and Host based Intrusion Detection Systems
The techniques of deep learning have become the state of the art methodology for executing complicated tasks from various domains of computer vision, natural language processing, and several other areas.
Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Security
In this paper, DNNs have been utilized to predict the attacks on Network Intrusion Detection System (N-IDS).
Ranked #1 on
Network Intrusion Detection
on KDD
