Now showing items 256-275 of 405

    • Naïve Bayes Classifier: A MapReduce Approach 

      Zheng, Songtao (North Dakota State University, 2014)
      Machine learning algorithms have the advantage of making use of the powerful Hadoop distributed computing platform and the MapReduce programming model to process data in parallel. Many machine learning algorithms have been ...
    • NDSU Scholar: Application to Search Articles Relevant to a Research Problem 

      Sharma, Rahul (North Dakota State University, 2015)
      Because of recent development in the field of computers, there has been substantial growth in the field of online education that varies from online tutors to electronic research papers. Now days, a student can find almost ...
    • A Network Optimization Solver for Routing in Wireless Sensor Networks 

      Samaraweera, Shaminda Asela (North Dakota State University, 2010)
      Many wireless sensor network applications require energy efficient communication between nodes in the network. Sensor networks are of limited resources. Due to this limitation, the routing between the nodes is one of the ...
    • Neutralization of Conflict Areas Using an Ant Colony Heuristic Approach 

      Bapanpally, Pavan Kumar (North Dakota State University, 2010)
      In this paper, we present a unique approach to solve the Neutralization of Conflict Areas problem using an Ant Colony Optimization technique. The Neutralization of Conflict Areas is a known problem, and over the years, ...
    • A New Coupling Metric: Combining Structural and Semantic Relationships 

      Alenezi, Mamdouh Khalaf (North Dakota State University, 2014)
      Maintaining object-oriented software is problematic and expensive. Earlier research has revealed that complex relationships among object-oriented software entities are key reasons that make maintenance costly. Therefore, ...
    • A New Structural Feature for Lysine Post-Translation Modification Prediction Using Machine Learning 

      Liu, Yuan (North Dakota State University, 2021)
      Lysine post-translational modification (PTM) plays a vital role in modulating multiple biological processes and functions. Lab-based lysine PTM identification is laborious and time-consuming, which impede large-scale ...
    • Next Location Prediction Model: A Geohashed Based Recurrent Neural Network 

      Rahim Taleqani, Ali (North Dakota State University, 2021)
      This work investigates the significance of choosing appropriate recurrent neural networks (RNNs) architecture for a spatiotemporal next location prediction framework. Dockless shared micro-mobility sharing programs provide ...
    • Noise Removal from Attribute-Groups for Classification 

      Kar, Angshu (North Dakota State University, 2013)
      In this work, we present a novel algorithm that considers attributes from different experimental sources as separate groups for the purpose of classification. We remove noise from each of these groups, combine them, and ...
    • Novel Techniques Using Graph Neural Networks (GNNS) for Anomaly Detection 

      Joseph, Priya (North Dakota State University, 2023)
      This paper explores 2 new mechanisms that leverage graphs for anomaly detection. The novelty in approach one is to leverage the global attention capability of transformer architecture using a Graph Attention Network (GAT) ...
    • Object Classification Using Stacked Autoencoder and Convolutional Neural Network 

      Gottimukkula, Vijaya Chander Rao (North Dakota State University, 2016)
      In the recent years, deep learning has shown to have a formidable impact on object classification and has bolstered the advances in machine learning research. Many image datasets such as MNIST, CIFAR-10, SVHN, Imagenet, ...
    • On the Applicability of Deep Metric Learning to Address Source Code Authorship Attribution Problem under Simulated Real-world Constraints 

      Zafar, Sarim (North Dakota State University, 2020)
      Source code authorship attribution is a widely studied research topic in the information security domain. In this dissertation, we develop and evaluate models that enable us to solve source code authorship attribution using ...
    • Online Defect Tracking System 

      Soni, Gaurav (North Dakota State University, 2017)
      For Improving Software Reliability, Defect Tracking System (DTS) gives the facility to define the tasks and allow the managers to track the Defects and time spent by each employee for that particular task. This tool can ...
    • Online Shopping Cart Application 

      Gupta, Swati (North Dakota State University, 2013)
      Electronic commerce, also known as ecommerce is a type of industry where buying and selling of a product is conducted over electronic systems such as the internet. The purpose of this application is to bring knowledge to ...
    • Optimal Placement of Relay Stations in Wireless Sensor Networks 

      Vallabh, Kiran Kumar (North Dakota State University, 2013)
      Wireless sensor networks (WSNs) are a collection of nodes organized into a cooperative network with sensing, processing and transmitting capabilities. WSNs are becoming an increasingly prominent technology that can be used ...
    • Optimization and Heuristic Facility Location Algorithms for the Smart Grid 

      Kaparthi, Nikhitha (North Dakota State University, 2013)
      One of the most crucial aspects in maintaining a smart grid Network is to monitor its stability, control and minimize the outages, blackouts etc. which can be achieved by Phasor Measurement Units (PMUs). Despite having a ...
    • Optimization Modeling for Wireless Sensor Scheduling 

      Chekuri, Srujan Kumar Raju (North Dakota State University, 2013)
      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. The efficiency ...
    • Optimization of Benchmark Functions using Chemical Reaction Optimization 

      Dandu, Naveen Kumar (North Dakota State University, 2013)
      In recent past, many new nature-inspired optimization techniques have been emerged in the field of science and engineering that have proven to be efficient to solve optimization problems. One such method that makes use of ...
    • Optimization of Deployments for Service Oriented Clouds 

      Dumpala, Chaitanya (North Dakota State University, 2015)
      In cloud-computing environments, every service in an application is deployed as a different service instance. All service instances are deployed at a different level of end-to-end Quality of Service (QoS), which are described ...
    • Optimization of Mobile Sensor Movement in Self-Healing Sensor Networks 

      Basu, Samidip (North Dakota State University, 2010)
      This paper moves forward the key idea as proposed in past research works - a self-healing deployment approach for sensor networks, where a small percentage of mobile sensors are deployed along with the static sensors into ...
    • Optimizing Incident Management Strategies Using Simulation 

      Manori, Anshuman (North Dakota State University, 2010)
      Incidents, pre-programmed or random, are major sources of congestion on urban freeways. With many of urban freeways in the US operating close to capacity, the need to reduce the impact of incident-related congestion has ...