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Now showing items 31-40 of 68
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 ...
Alexa for Health Practitioners
(North Dakota State University, 2020)
Many industries, including healthcare, are trying to take advantage of voice assistant systems by incorporating their technology into the industries’ environment. However, not many companies or researchers have successfully ...
Comparison of Global and Local Particle Swarm Optimization
(North Dakota State University, 2021)
Particle swarm optimization is a computational algorithm used to optimize a solution through sequential processing of particles using a specified estimation of quality. The algorithm is inspired by biological systems such ...
Comparison of Non-Learned and Learned Molecule Representations for Catalyst Discovery
(North Dakota State University, 2022)
Catalyst discovery is one very important task in storing renewable energy to address climate change and energy scarcity globally. Catalyst candidates can be represented by molecular descriptors and also can be modeled by ...
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 ...
Comparison Analysis of Classification Algorithms for Intrusion Detection
(North Dakota State University, 2021)
As the Internet of Things becomes more prevalent in our lives, we are confronted with more security concerns. Network attacks have become more common in the cyber world these days. Denial of service, Prove, Remote to Local ...
Investigating Super Learner on Healthcare Data Sets
(North Dakota State University, 2021)
In the field of machine learning, classification is the essential task that predicts the target class or label for each sample in the data. Improving the performance of a classification model has been a challenging research ...
Covid-19 Face Cover Tracker Using Amazon Web Services
(North Dakota State University, 2021)
Numerous studies have shown that wearing face covers and following other social distancing guidelines reduce community transmission of air borne diseases like COVID-19 during a pandemic. While public health administrators ...
Evaluating the Effectiveness of Music Recommendations Using Cosine Similarities of Various Combined Feature Sets Consisting of Metadata and User Generated Tags
(North Dakota State University, 2022)
This paper aims to compare and evaluate the methods for recommending songs using metadata, user generated tags, metadata and tags, and metadata and top five tags. Recommendations are calculated using cosine similarities ...