Computer Science Masters Papers: Recent submissions

Now showing items 61-80 of 255

    • Credit Card Fraud Detection Predictive Modeling 

      Sharma, Nishant (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 ...

    • Role of Bias in Information Warfare: Classifying Fake News Articles Using Natural Language Processing 

      Gurmeet (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 ...

    • Image Classification Using Transfer Learning and Convolution Neural Networks 

      Burugupalli, Mohan (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 ...

    • Adaptive Mesh Refinment Applications for Adviction-Diffusion Problems Using Amrex 

      Kanumuru, Venkata (North Dakota State University, 2020)
      In this paper we implemented an adaptive mesh refinement in high performance computing environment to study a wide range of problems in engineering. They are nonlinear Fisher-Kolmogorov equation, heat equation, advection ...

    • Evaluation and Evolution of NAOnto- A Profile Ontology of Native American Diabetes Patients 

      Pandey, Vikram (North Dakota State University, 2020)
      Diabetes is one of the deadliest diseases worldwide. Its prevalence is highest amongst the American Indian (AI) community. The existing ontology-based self-management tools for native Americans lack comprehensiveness and ...

    • Evaluation of a Spark-Enabled Genetic Algorithm Applied to the Travelling Salesman Problem 

      Raveendran, Amritha (North Dakota State University, 2020)
      Traveling salesman problem aims to find the shortest route. A salesman travels to each of the cities once. Genetic Algorithm is used for solving this problem, which returns the best solution found showing the distance that ...

    • Effectiveness of Human Error Abstraction Assist Tool at Improving the Quality of Software Requirements 

      Deosi, Navneet (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 ...

    • Brain Cancer Detection Using MRI Scans 

      Thotapally, Shanthanreddy (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 ...

    • Dissertation Calculator Tool for Tracking and Managing Dissertation Progress for Graduate Students 

      Bat-Otgon, Bat-Od (North Dakota State University, 2019)
      Dissertation Calculator is a tool for graduate students who are working towards their graduate degree at North Dakota State University to manage and track their dissertation progress. It is also a communication and feedback ...

    • Software Inspection Tool for Defects Classification on Requirement Documents Using Collaborative Approach 

      Subedi, Ishan Mani (North Dakota State University, 2019)
      Software inspection is a process to minimize or eradicate defects throughout the entire software lifecycle which in turn helps to create and maintain quality products. While inspections are effective, it is often done ...

    • Breast Cancer Diagnosis Using Different Machine Learning Techniques 

      Roy, Souradip (North Dakota State University, 2019)
      Cancer is one of the dangerous diseases which causes many deaths each year and breast cancer being one of them which is quite common among women. In today’s time 12 percent of the women can develop breast cancer over her ...

    • An Interactive System for Cow Herd Performance 

      Hossain, Naqib (North Dakota State University, 2019)
      This paper explores the application-development phases for the Cow Herd Appraisal of Performance System (CHAPS). In 1985, North Dakota State University’s Dickinson Research Extension Center and the North Dakota Beef Cattle ...

    • A Smartphone-Based Pointing Technique in Cross-Device Interaction 

      Yang, Juechen (North Dakota State University, 2019)
      In this paper, the author develops a novel cross-device cursor position estimation system for transferring a mobile device’s four-direction 2D movement to a cursor’s four-direction movement on a large display device; this ...

    • Evaluating Sliding Window Multi-Scalar Analysis Importance on Land Use Classification from Satellite Remote Sensing Data 

      Beshah, Dawit Mekonnen (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 ...

    • Mobile Diabetes Application 

      Myneedi, Anusha (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 ...

    • Algorithms for Coverage Improvement in a Sensor Network 

      Maddi, Sunil Reddy (North Dakota State University, 2011)
      Sensors are devices which have the ability to receive and respond to a signal. These sensors, when used as a group, form a sensor network. Sensors in a sensor network can communicate and transmit data. In the early stages ...

    • Automated Detection of Acute Leukemia Using K-Means Clustering Algorithm 

      Arya, Minakshi (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, ...

    • Enumeration of Dense Modules in Networks 

      Durgapathi, Yashwanth Goud (North Dakota State University, 2019)
      To analyze large networks in various research fields including biology, sociology, and web mining, detection of dense modules (a.k.a. clusters) is a crucial step. Though numerous methods have been proposed to this aim, ...

    • Multi-Agent Based Simulation of an Unmanned Aerial Vehicles System 

      Murugesan, Karthiksivaram (North Dakota State University, 2011)
      The rapid growth of using Unmanned Aerial Vehicles (UAV) for civilian and military applications has promoted the development of research in many areas. Most of the unmanned aerial vehicles in use are manually controlled. ...

    • Design of a Game for Cybersecurity Awareness 

      Bhardwaj, Jagjot (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 ...