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Now showing items 21-30 of 414
A New Structural Feature for Lysine Post-Translation Modification Prediction Using Machine Learning
(North Dakota State University, 2021)
Lysine post-translational modification (PTM) plays a vital role in modulating multiple biological processes and functions. Lab-based lysine PTM identification is laborious and time-consuming, which impede large-scale ...
Development and Validation of Feedback-Based Testing Tutor Tool to Support Software Testing Pedagogy
(North Dakota State University, 2020)
Current testing education tools provide coverage deficiency feedback that either mimics industry code coverage tools or enumerates through the associated instructor tests that were absent from the student’s test suite. ...
Increasing the Predictive Potential of Machine Learning Models for Enhancing Cybersecurity
(North Dakota State University, 2021)
Networks have an increasing influence on our modern life, making Cybersecurity an important field of research. Cybersecurity techniques mainly focus on antivirus software, firewalls and intrusion detection systems (IDSs), ...
Data Replication Strategies in Cloud Computing
(North Dakota State University, 2011)
Data replication is a widely used technique in various systems. For example, it can be employed in large-scale distributed file systems to increase data availability and system reliability, or it can be used in many network ...
Heuristic Clustering with Secured Routing in Two Tier Sensor Networks
(North Dakota State University, 2013)
This study addresses the management of Heterogeneous Sensor Networks (HSNs) in an area of interest. The use of sensors in our day-to-day life has increased dramatically, and in ten to fifteen years the sensor nodes may ...
Automated Detection of Acute Leukemia Using K-Means Clustering Algorithm
(North Dakota State University, 2019)
Detection of ALL can be done through the analysis of white blood cells (WBCs) called leukocytes. Usually, the analysis of blood cells is performed manually by skilled operators, have numerous drawbacks, such as slow analysis, ...
Desktop Interactive Activity Diagram Tutorial
(North Dakota State University, 2015)
Activity diagram plays a vital role in Business Process Modeling as well as System modeling. In this paper, I have proposed a desktop interactive activity diagram tutorial that has been designed for educational purposes ...
Mobisurf: Bimanual Inter-Device Interaction
(North Dakota State University, 2013)
A shared interactive display (i.e. tabletop) provides a large space for collaborative interaction. However, it lacks a private area for accessing sensitive information. On the other hand, a mobile device offers a variety ...
Vertical Data Structures and Computation of Sliding Window Averages in Two-Dimensional Data
(North Dakota State University, 2020)
A vertical-style data structure and operations on data in that structure are explored and tested in the domain of sliding window average algorithms for geographical information systems (GIS) data. The approach allows working ...
Blood Glucose Prediction Models for Personalized Diabetes Management
(North Dakota State University, 2018)
Effective blood glucose (BG) control is essential for patients with diabetes. This calls for an immediate need to closely keep track of patients' BG level all the time. However, sometimes individual patients may not be ...