Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Computer Sciences (18)
- Artificial Intelligence and Robotics (12)
- Engineering (12)
- Life Sciences (7)
- Statistics and Probability (6)
-
- Medicine and Health Sciences (5)
- Chemistry (4)
- Other Computer Sciences (4)
- Bioinformatics (3)
- Civil and Environmental Engineering (3)
- Computational Chemistry (3)
- Computer Engineering (3)
- Environmental Sciences (3)
- Social and Behavioral Sciences (3)
- Statistical Models (3)
- Theory and Algorithms (3)
- Agriculture (2)
- Analytical Chemistry (2)
- Analytical, Diagnostic and Therapeutic Techniques and Equipment (2)
- Applied Mathematics (2)
- Applied Statistics (2)
- Biomedical Engineering and Bioengineering (2)
- Communication (2)
- Computational Engineering (2)
- Databases and Information Systems (2)
- Design of Experiments and Sample Surveys (2)
- Earth Sciences (2)
- Electrical and Computer Engineering (2)
- Keyword
-
- Machine Learning (7)
- Machine learning (7)
- Deep Learning (3)
- Allostery (2)
- Artificial Intelligence (2)
-
- Feature selection (2)
- Medical Imaging (2)
- AI (1)
- Adaptive experiences (1)
- Adversarial (1)
- Analytical Chemistry (1)
- And Chickpea (Cicer arietinum L.) (1)
- Artificial intelligence (1)
- Basic safety message (BSM) (1)
- Bayesian Analysis (1)
- Bayesian Optimization (1)
- Bias (1)
- Biological Communication (1)
- Biomechanics (1)
- Biosensor (1)
- Black-box Variational Inference (1)
- Blood pressure (1)
- Calcium Imaging (1)
- Cloud computing (1)
- Clustering (1)
- Collinearity (1)
- Complex Systems (1)
- Compound Extremes (1)
- Computer Vision (1)
- Contacts (1)
- Publication
- Publication Type
Articles 31 - 32 of 32
Full-Text Articles in Data Science
Analysis Of Deep Learning Methods For Wired Ethernet Physical Layer Security Of Operational Technology, Lucas Torlay
Analysis Of Deep Learning Methods For Wired Ethernet Physical Layer Security Of Operational Technology, Lucas Torlay
All Theses
The cybersecurity of power systems is jeopardized by the threat of spoofing and man-in-the-middle style attacks due to a lack of physical layer device authentication techniques for operational technology (OT) communication networks. OT networks cannot support the active probing cybersecurity methods that are popular in information technology (IT) networks. Furthermore, both active and passive scanning techniques are susceptible to medium access control (MAC) address spoofing when operating at Layer 2 of the Open Systems Interconnection (OSI) model. This thesis aims to analyze the role of deep learning in passively authenticating Ethernet devices by their communication signals. This method operates at …
Enhancing The Performance Of Text Mining, Farah Mahmoud Al Shanik
Enhancing The Performance Of Text Mining, Farah Mahmoud Al Shanik
All Dissertations
The amount of text data produced in science, finance, social media, and medicine is growing at an unprecedented pace. The raw text data typically introduces major computational and analytical obstacles (e.g., extremely high dimensionality) to data mining and machine learning algorithms. Besides, the growth in the size of text data makes the search process more difficult for information retrieval systems, making retrieving relevant results to match the users’ search queries challenging. Moreover, the availability of text data in different languages creates the need to develop new methods to analyze multilingual topics to help policymakers in governmental and health systems to …