Browsing Computer Science Masters Papers by Title

Now showing items 20-39 of 217

    • Basic Cybersecurity Awareness Through Gaming 

      Kulkarni, Vikas Krishnarao (North Dakota State University, 2019)
      The goal of this paper is to bring the basic awareness of cybersecurity among students so that they do not become a victim of cybercrime. Studies show that cybersecurity serious games support multiple well-established ...

    • Best Practices of ERP Implementation 

      Puri, Rahul (North Dakota State University, 2014)
      Today Enterprise Resource Planning (ERP) has become a fundamental necessity for the organization. It serves many functional areas and many industries in an integrated fashion, trying to automate operations from inventory ...

    • Big Body: A Collaborative Platform for Bodybuilding and Nutrition 

      Arora, Amit (North Dakota State University, 2017)
      Health and a supple body has been seen as a prized possession by almost every culture. Witnessing our body grow and come alive with health after months of hard work is an unparalleled feeling. Bodybuilding tends to improve ...

    • 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 ...

    • 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 ...

    • Capacitated Transshipment Models for Predicting Signaling Pathways 

      Sahni, Ritika (North Dakota State University, 2012)
      Signal transduction is a process of transmitting signals for controlling biological responses. The protein-protein interaction (PPI) data, containing signal transduction proteins, can be considered as a bi-directional, ...

    • CHAPS Online 

      Koirala, Suman (North Dakota State University, 2022)
      This paper explores the application development phases of the online version of Cow Herd Appraisal Performance Software (CHAPS). Beef producers and Extension professionals have been using CHAPS since 1985 as a herd management ...

    • Chatting with Confidence: A Review on the Impact of User Interface, Trust, and User Experience in Chatbots, and a Proposal of a Redesigned Prototype 

      Tamimi, Arin (North Dakota State University, 2023)
      As artificial intelligence (AI) becomes more prevalent in our daily lives, trust has become a critical issue in ensuring that AI systems are reliable, ethical, and beneficial to society. This paper explores the role of ...

    • A Circle-Geocaching Game Based on Classified Specimens 

      Agasaladinni Reddy, Prabhakara Reddy (North Dakota State University, 2018)
      This paper describes a CIRCLE-Geocaching extensible system played for the purpose of rehearsal learning. The system operates over a classification tree built by an instructor or a group of students engaged in classification, ...

    • Classification Algorithms Applied to a Brain Computer Interface System Based On P300 

      Gaur, Himanshu (North Dakota State University, 2017)
      A BCI or Brain Computer Interface is defined as a method of communication that converts neural activities generated by brain of living being (without the use of peripheral muscles and nerves) into computer commands or other ...

    • Cognitive Heuristics in Software Engineering: Evaluating Confirmation Bias during Software Testing 

      Hegde, Shishir (North Dakota State University, 2017)
      Software engineering is a human centric activity and the thought processes of software engineers have influence on the quality of software products. Cognitive scientists have identified human errors known as cognitive ...

    • A Collaborative Agent-Box System 

      Singh, Kunal Kishore (North Dakota State University, 2013)
      In this paper I present a multi-agent system that aims at demonstrating software agent’s collaborative behavior when a number of intelligent agents are clustered together within one environment. This study draws inspiration ...

    • A Comparative Study of Spreadsheet Applications on Mobile Devices 

      Chintapalli, Veera Venkata Satyanarayana Murthy (North Dakota State University, 2013)
      Advancements with mobile-screen sizes and enhancements to current-day features for mobile applications have increased the number of users accessing spreadsheets on mobile devices while away from desktop computers. In recent ...

    • A Comparative Study on Different Big Data Tools 

      Ibtisum, Sifat (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 ...

    • Comparison Analysis of Classification Algorithms for Intrusion Detection 

      Saha, Binita (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 ...

    • Comparison between Symfony, ASP.NET MVC, And Node.js Express for Web Development 

      Mao, Xiaoli (North Dakota State University, 2018)
      Web development technologies have been developing tremendously in recent years. While new technologies such as Node.js come with various frameworks, traditional technologies such as ASP.NET and PHP are also being used with ...

    • Comparison of Global and Local Particle Swarm Optimization 

      Ferdousi, Nazrin (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 

      Yao, Qianqian (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 ...

    • Comparison of Particle Swarm Optimization Variants 

      Daggubati, Satyanarayana (North Dakota State University, 2012)
      Particle swarm optimization (PSO) is a heuristic global optimization method, which is based on swarm intelligence. It is inspired by the research on the bird and fish flock movement behavior. The algorithm is widely used ...

    • Comparison of RNN, LSTM and GRU on Speech Recognition Data 

      Shewalkar, Apeksha Nagesh (North Dakota State University, 2018)
      Deep Learning [DL] provides an efficient way to train Deep Neural Networks [DNN]. DDNs when used for end-to-end Automatic Speech Recognition [ASR] tasks, could produce more accurate results compared to traditional ASR. ...