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Now showing items 21-30 of 68
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), ...
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 ...
Image Classification Using Transfer Learning and Convolution Neural Networks
(North Dakota State University, 2020)
In the recent years, deep learning has shown to have a formidable impact on image classification and has bolstered the advances in machine learning research. The scope of image recognition is going to bring big changes in ...
Analysis of Image Classification Deep Learning Algorithm
(North Dakota State University, 2023)
This study explores the use of TensorFlow 2 and Python for image classification problems. Image categorization is an important area in computer vision, with several real-world applications such as object identification/r ...
Brain Cancer Detection Using MRI Scans
(North Dakota State University, 2020)
An estimate of about 700,000 Americans today live with a brain tumor. Of these, 70% are benign and 30% are malicious. The average survival rate of all the malicious brain tumor patients is 35%. Diagnosing these tumors early ...
A Comparative Study on Different Big Data Tools
(North Dakota State University, 2020)
Big data has long been the topic of fascination for computer science enthusiasts around the world, and has gained even more prominence in recent times with the continuous explosion of data resulting from the likes of social ...
Enhancing Restaurant Dining Experience: Design and Evaluation of a Mobile App for Personalized Menu Item Selection in Restaurants
(North Dakota State University, 2023)
Picking the right food item from a restaurant menu can be challenging for people, specially for those who are unfamiliar with local cuisine and those with specific dietary requirements. Existing menus often lack essential ...
Role of Bias in Information Warfare: Classifying Fake News Articles Using Natural Language Processing
(North Dakota State University, 2020)
The way that people consume news, entertainment and media has been changed. The print media and even television have started to become obsolete. In this digital age, social media being the biggest news source for the masses ...