As a newly emerging technology, deep learning (DL) is a very promising field in big data
applications. Remote sensing often involves huge data volumes obtained daily by numerous …

This study proposes a novel secured management method for renewable microgrids
considering the policies required for diagnosing cyber-attacks happening in the …

In this paper we introduce Principal Filter Analysis (PFA), an easy to use and effective
method for neural network compression. PFA exploits the correlation between filter …

In this paper we introduce Principal Filter Analysis (PFA), an easy to use and effective
method for neural network compression. PFA exploits the correlation between filter …

In modern cloud computing environments, ephemeral cloud resources are becoming
increasingly prevalent. Ephemeral resources exhibit two distinct characteristics:(1) they can …

Disclosed is a method of building a customized deep learning (DL) stack classifier to detect
organization sensitive data in images, referred to as image-borne organization sensitive …

Disclosed is detecting screenshot images and protecting against loss of sensitive
screenshot image data. The method collects examples of screenshot images and non …

Building machine learning (ML) pipelines, as well as deep learning (DL) pipelines, require
expertise, including ML algorithms, various choices of ML frameworks, data ingestion …

We learn about the world from a diverse range of sensory information. Automated systems
lack this ability as investigation has centred on processing information presented in a single …

The rapid evolution of technology demands efficient and reliable software deployment
processes. Manual deployment practices often lead to increased error rates, longer …