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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 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 ...
Analyzing Three Different Tuning Strategies for Random Forest Hyperparameters for Fraud Detection
(North Dakota State University, 2021)
Technology is advancing rapidly, and more tasks are becoming online than ever. Along with the benefits comes the disadvantages of this great advancement. While online services relieve from the struggle of in person activities, ...