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Found 4 papers, 4 papers with code
A deep learning based steganography integration framework for ad-hoc cloud computing data security augmentation using the V-BOINC system
The goal of this study is to come up with a way to improve steganography in ad hoc cloud systems by using deep learning.
Localization of Facial Images Manipulation in Digital Forensics via Convolutional Neural Networks
In order to simultaneously detect manipulated images and videos and locate the region for every question, a convolutional neural network is built which uses the multi-work learning approach.
A Distributed Artificial Intelligence Framework to Evolve Infrastructure Resilience in Telecommunications Sector
The paper’s main focus is on two main purposes, the first one is the to propose a mechanism for enhancing resilience in telecom infrastructure, while the second purpose is to quantify the financial value to achieve this resilience.
QoS Provision for Controlling Energy Consumption in Ad-Hoc Wireless Sensor Networks
The primary goals of the research are to discover the best techniques to 1) minimize the total consumed energy in the ad-hoc wireless sensor network, and 2) maximize the ad-hoc wireless sensor network lifetime.
