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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 ...
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 ...
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 ...
A Realistic and Reliable Approach for Real Time Monitoring of Infrastructure
(North Dakota State University, 2020)
Rapid advancements in the field of site reliability engineering in the past few decades have made it an indispensable part of how humans create scalable and highly reliable software systems. The inherent need of a reliable ...
Prediction Accuracy of Financial Data - Applying Several Resampling Techniques
(North Dakota State University, 2020)
With the help of Data Mining and Machine Learning, prediction has been a very popular and demanding instrument to plan and accomplish a future goal. The financial sector is one of the crucial sectors of present human ...
Credit Card Fraud Detection Predictive Modeling
(North Dakota State University, 2020)
Finance fraud is a growing problem with consequences in the financial industry and data mining has been successfully applied to huge volume of complex financial datasets to automate and analyze credit card frauds in online ...
Threat Identification from Access Logs Using Elastic Stack
(North Dakota State University, 2020)
Access log management is an essential part of cybersecurity. Lack of insight into user authentication patterns can hinder readiness and reaction to the growing threat of cyberattacks. Central Authentication Service (CAS) ...
Feature Engineering on the Cybersecurity Dataset for Deployment on Software Defined Network
(North Dakota State University, 2020)
These days, due to dependency on the fast-moving world's modern technology, the increasing use of smart devices and the internet affect network traffic. Many intrusion detection studies concentrate on feature selection or ...
Effectiveness of Human Error Abstraction Assist Tool at Improving the Quality of Software Requirements
(North Dakota State University, 2020)
The successful completion of any given software project is dependent on error-free Software Requirement Specification (SRS) documents. SRS documents are prone to human errors and faults because their creation involves a ...