Now showing items 97-116 of 254

    • Evaluation of Convolutional Neural Networks Against Deepfakes Using Transfer Learning 

      Krishan, Siddharth (North Dakota State University, 2023)
      The main objective of this paper is to evaluate ResNets, DenseNet, Inception and VGG, against deepfake images, to answer the question: How effectively these Convolutional Neural Network can distinguish between deepfake ...
    • Evaluation of Firefly Algorithm Using Benchmark Functions 

      Kundur, Anuroop (North Dakota State University, 2013)
      The field of nature inspired computing and optimization techniques have evolved to solve the difficult optimization problems in diverse fields of engineering, science and technology. The Firefly algorithm is one of the ...
    • Evaluation of Software Testing Coverage Tools: An Empirical Study 

      Alemerien, Khalid Ali (North Dakota State University, 2013)
      Code coverage is one of the most important aspects of software testing, which helps software engineers to understand which portion of code has been executed using test suite throughout the software testing process. Automatic ...
    • Fargo Moorhead Bus Routes Android Application 

      Tomer, Avijeet (North Dakota State University, 2013)
      Fargo and Moorhead have good public transportation provided by Metro Area Transit bus service. Google Maps Navigation, which provides public transportation routes and directions in several major cities, is not available ...
    • Feature Engineering on the Cybersecurity Dataset for Deployment on Software Defined Network 

      Rifat, Nafiz Imtiaz (North Dakota State University, 2020)
      These days, due to dependency on the fast-moving world's modern technology, the increasing use of smart devices and the internet affect network traffic. Many intrusion detection studies concentrate on feature selection or ...
    • Female Factor and Team Projects: A Social Sensitivity Perspective 

      Khosla, Sourabh (North Dakota State University, 2014)
      Software Development is a complex, time-consuming task wherein a team must collaborate effectively over a long period of time. Achieving maximum productivity and quality requires commitment. A recent MIT study concluded ...
    • Finding Hidden Relationships between Medical Concepts by Leveraging Metamap and Text Mining Techniques 

      Yang, Weikang (North Dakota State University, 2017)
      A lot of efforts have been made in order to make new discoveries in the biomedical filed. However, those valuable information may be hidden in text without applying appropriate text mining techniques. In this paper, I ...
    • A Free and Flexible Poker Environment 

      DeBilt, Daniel George (North Dakota State University, 2010)
      This paper introduces a framework and software that allows poker players to create and play original and custom poker games, through a TCP/IP connection, for free. This paper describes how the concept of playing ...
    • Fuzzy Decision Model for a Smart Grid 

      Baqui, Muhammad Niamul (North Dakota State University, 2012)
      Electricity is vital for U.S. economy. Over the years, the demand and the usage of electricity have skyrocketed, but the electric transmission and distribution processes have been manual. The current work formulates an ...
    • Genetic Search for Multi School Routing 

      Ganesan, Arjun Sivaram Kumar (North Dakota State University, 2011)
      In genetic search for multi school routing, a set of commonly shared school buses and vans with capacity, travel speed and travel time limitations are used to service students from their pick up locations to their ...
    • Glowworm Swarm Optimization Algorithm for Multi-Threshold Image Segmentation 

      Kasam, Shashi Kanth (North Dakota State University, 2016)
      Glowworm Smarm Optimization (GSO), one of the nature-inspired swarm intelligence algorithms is used for finding solutions to optimization problems. Glowworms emit light to attract its mates and mates choosing the brighter ...
    • GPU Enabled Particle Swarm Optimization 

      Killada, Bala Venkata Rama Kishore (North Dakota State University, 2017)
      GPUs are massively parallelized devices. They were designed to handle billions of pixels per second. It is does this by embracing an incredible level of parallelism. GPUs in fact can leverage any other parallel algorithms ...
    • Graduate School Application Archive System (GSAAS) 

      Fazal, Nazeer Ahmed Khan (North Dakota State University, 2011)
      The advent of using web applications has dramatically changed the way people access data and understand these concepts. Users have expressed problems involved with accessing the data in an easy and effective way with ...
    • Graduate Student Progress Tracking System 

      Thalloji, Pramodh Kumar (North Dakota State University, 2010)
      In this paper, I propose and implement an application to track the graduate student progress in various Computer Science and Software Engineering graduate programs. This application will provide lists of students who in ...
    • Graph Data Conversion and Tree Visualization 

      Guduru, Srinivas (North Dakota State University, 2011)
      The first part of the paper is converting graph data format from GXL to GraphML. GXL and GraphML are both XML-based languages for representing graph data. The HP page segmentation tool produces output graph data in GXL ...
    • Graph Visualization Using the NoSQL Database 

      Joshi, Kailash Raj (North Dakota State University, 2013)
      The relational database has been a dominant approach for organizing data into formally organized tables for years. Recently, with massive amounts of data being generated, a new type of database called NoSQL has emerged. ...
    • Graphical Simulation for Unmanned Aerial Vehicle Mission 

      Gebremariam, Alemayehu (North Dakota State University, 2014)
      Unmanned Aerial Vehicles (UAVs) are automated flying planes currently focused on military and civilian applications. This work simulates the motion of UAV in the battlefield environment; making use of the theoretical ...
    • A Graphical Tool for Test Generation from State Models 

      Wu, Qjpeng (North Dakota State University, 2009)
      This paper presented a graphical tool for generating test cases based on state models. The tool provides users with a user-friendly model editor to create their state model in a tree view structure. The tree based state ...
    • The Grid Scan Heuristic for Extending Lifetime in Wireless Sensor Networks 

      Pachva, Srikar (North Dakota State University, 2011)
      Wireless Sensor Networks, consisting of sensing devices which sense the environment and communicate information among each other, is an emergent field in wireless networking with many potential applications. Efficiency of ...
    • Health Risk Prediction Using Big Medical Data - a Collaborative Filtering-Enhanced Deep Learning Approach 

      Li, Xin (North Dakota State University, 2018)
      Deep learning has yielded immense success on many different scenarios. With the success in other real world application, it has been applied into big medical data. However, discovering knowledge from these data can be very ...