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Study of Different Deep Learning Approach with Explainable AI for Screening Patients with COVID-19 Symptoms: Using CT Scan and Chest X-ray Image Dataset
TLDR
A deep learning-based model is developed that can detect COVID-19 patients with better accuracy both on CT scan and chest X-ray image dataset and test results demonstrate that it is conceivable to interpret top features that should have worked to build a trust AI framework to distinguish between patients with CO VID-19 symptoms with other patients.
Leveraging Machine Learning Approach to Setup Software-Defined Network(SDN) Controller Rules During DDoS Attack
TLDR
A machine learning based Distributed Denial of Service (DDoS) attack detection system, implemented in a virtual SDN environment testbed, showed up to 93% detection accuracy with a low false-positive rate.
COVID-19 Symptoms Detection Based on NasNetMobile with Explainable AI Using Various Imaging Modalities
TLDR
Results demonstrate that the proposed models can identify the infectious regions and top features; ultimately, it provides a potential opportunity to distinguish between COVID-19 patients with others.
Machine learning in cybersecurity: a comprehensive survey
TLDR
A comprehensive survey of the works that have been carried out most recently on ML in cybersecurity, describing the basics of cyber-attacks and corresponding defenses, the Basics of the most commonly used ML algorithms, and proposed ML and data mining schemes for cybersecurity in terms of features, dimensionality reduction, and classification/detection techniques are provided.
Stylometry as a Reliable Method for Fallback Authentication
TLDR
This paper proposed to detect differences between writings on the same topic provided by a set of users and tested whether these differences are enough to use for an authentication system and observed that the combination of textual features can support authenticity of the user.
Detect Review Manipulation by Leveraging Reviewer Historical Stylometrics in Amazon, Yelp, Facebook and Google Reviews
TLDR
This paper provides a historical stylometry based methodology to detect review manipulations and supported that with results from Amazon, Yelp, Google, and Facebook.
A Genetic Algorithm Approach to Regenerate Image from a Reduce Scaled Image Using Bit Data Count
TLDR
This paper described a genetic algorithm approach to recover lost bits while image resized to the smaller version using the original image data bit counts which are stored while the image is scaled.
Smart Crowdsourcing Based Content Review System (SCCRS): An Approach to Improve Trustworthiness of Online Contents
TLDR
A smart crowdsourcing based content review technique to provide trustworthy and unbiased reviews for online shared contents by designing an intelligent self-learned crowdsourcing strategy to select an appropriate set of reviewers efficiently which ensures reviewers’ diversity, availability, quality, and familiarity with the news topic.
A Genetic Algorithm Approach to Optimize Dispatching for A Microgrid Energy System with Renewable Energy Sources
TLDR
A genetic algorithm approach is applied in this project to find the optimal solution of energy scheduling throughout a day, simultaneously using the concept of network reconfiguration, and shows that, it is possible to get 1MW less line lose compared to general condition.
PEFile Analysis: A Static Approach To Ransomware Analysis
TLDR
The experiment reveals that the static behaviors of the ransomware can be compiled to build a feature database for further analysis such as machine learning classification techniques to detect ransomware.
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