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The Automated Design of Network Graph Algorithms with Applications in Cybersecurity
(2020-01-06)
Graph representations and graph algorithms are commonplace in a wide variety of research domains, including computer and network security. Many problems can be expressed in terms of graphs in order to leverage the strengths ...
Learning Explanatory Models for Robust Decision-Making Under Deep Uncertainty
(2020-04-06)
Decision-makers rely on simulation models to predict and investigate the implications of their decisions. However, the use of monolithic simulation models based on fixed assumptions lack the requisite adaptivity needed ...
Understanding and Improving Generative Adversarial Networks
(2020-04-06)
Generative Adversarial Networks (GANs) have been under the spotlight in the machine learning field for a few years. Especially, the power that learns a data distribution in an unsupervised fashion leads GANs to be applied ...
DevSecOps of Containerization
(2020-08-03)
Containerization is a new concept of virtualization, one that has attracted attention and occupied considerable amount of market size due to its inherent lightweight characteristics. However, the lightweight advantage is ...
Toolpath Static Analysis Testing for Additive Manufacturing
(2020-07-31)
Fused Deposition Modelling (FDM) 3D printers are the most common 3D printers in the world. However, most of the world’s 3D printers have little-to-no security to prevent cyber-attacks. Most small businesses that employ 3D ...
Business Rules Discovery in Web Application through Process Mining
(2020-07-20)
Advances in information technologies have allowed businesses to deliver their services to new markets that did not exist before, especially in fields such as e-commerce, healthcare, e-education, and cloud services. Web ...
Employing Machine Learning Techniques in Conjunction with Linguistic Scoring Mechanism to Formalize the Uncertainty Carried by Scoring Numeric Processes Driven by Probabilistic Methods
(2020-08-18)
The aim of this research is to integrate the naturalistic mechanisms inherent to domain experts’ heuristics with machine learning capabilities as a useful framework with the capacity to support several domains of the human ...
Data Science with A Focus on Spatial Domain
(2020-11-19)
Data science focuses on solving data-driven tasks using a variety of techniques, including but not limited to machine learning, neural networks, mathematics, and statistics. In this article, I work on two tasks in the scope ...
Studying the Applications of Probability Metrics and Divergence Measures in Solving Classic Control Tasks
(2020-11-16)
Choosing the correct statistical distance for a machine learning problem is vital when estimating the degree of dissimilarity between two discrete distributions. In the distributional reinforcement learning problem, the ...
Android Malware Detection Using Data Mining Techniques on Process Control Block Information
(2020-07-24)
Because smartphones are increasingly becoming the mobile computing device of choice, we are experiencing an increase in the number and sophistication of mobile-computing-based malware attacks. A lot of these attacks target ...