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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, ...
Predictive Performance Evaluation of Different Neural Networks Using Stock Prices
(North Dakota State University, 2019)
Forecasting stock market prices has been a challenging task due to its volatile nature and nonlinearity. Recently, artificial neural networks (ANNs) have become popular in solving a variety of scientific and financial ...
Mobile Diabetes Application
(North Dakota State University, 2019)
In recent years, Diabetes is becoming a serious health challenge. The prevalence of diabetes has increased with accompanying increases in body weight and diminished physical activity and with increased automation. Effective ...
Detecting Insider and Masquerade Attacks by Identifying Malicious User Behavior and Evaluating Trust in Cloud Computing and IoT Devices
(North Dakota State University, 2019)
There are a variety of communication mediums or devices for interaction. Users hop from one medium to another frequently. Though the increase in the number of devices brings convenience, it also raises security concerns. ...
Diabetes Social Networking App for American Indians
(North Dakota State University, 2019)
Chronic disease effects health and quality of living largely. Social networking can initiate the onset of pathology and serve as direct cause for several chronic and non-communicable diseases. Technology has the potential ...
Design of a Game for Cybersecurity Awareness
(North Dakota State University, 2019)
The primary objective of this paper is to use the Bloom’s Revised Taxonomy educational objectives in creating a game called Cyber Air-Strike for learning basic concepts of cybersecurity. Bloom’s Revised Taxonomy is used ...
Image Processing for White Line Detection in a Grassy Field
(North Dakota State University, 2019)
Image processing for object detection and decision making based on the observed remains a challenge today. As participants in the Intelligent Ground Vehicle Competition in 2018 and 2019, we were tasked to build an autonomous ...
Evaluating Sliding Window Multi-Scalar Analysis Importance on Land Use Classification from Satellite Remote Sensing Data
(North Dakota State University, 2019)
Implications of artificial intelligence around the intersection of agricultural technology and satellite remote sensing are only beginning to emerge. One of the application areas in the agriculture sector that can leverage ...
K-Anonymization Implementation Using Apache Spark
(North Dakota State University, 2019)
This experiment attempts on data which can reveal a person’s identity to anonymize with k-1 anonymity principle. "Given person-specific field-structured data, produce a release of the data with scientific guarantees that ...
Application of Memory-Based Collaborative Filtering to Predict Fantasy Points of NFL Quarterbacks
(North Dakota State University, 2019)
Subjective expert projections have been traditionally used to predict points in fantasy football, while machine prediction applications are limited. Memory-based collaborative filtering has been widely used in recommender ...