Now showing items 85-89 of 89

    • Training Set Selection to Improve Crop Classification 

      Christeson, Eric John (North Dakota State University, 2015)
      In some classification problems, acquiring class label information is much more expensive than collecting attribute data. One such problem is crop classification from satellite imagery. While random sampling is one option, ...
    • Uses and Gratifications of Amputees' Online Social Networks 

      Frohlich, Dennis Owen (2011)
      The following thesis examined amputee support groups on Facebook. Having an 111 amputation can be a life-changing experience. and social support may be necessary to understand one's amputation. Hundreds of amputee groups ...
    • Vector-Vector Patterns for Agricultural Data 

      Momsen, Eric (North Dakota State University, 2013)
      Agriculture is increasingly driven by massive data, and some challenges are not covered by existing statistics, machine learning, or data mining techniques. Many crops are characterized not only by yield but also by quality ...
    • Vertical Data Structures and Computation of Sliding Window Averages in Two-Dimensional Data 

      Helsene, Adam Paul (North Dakota State University, 2020)
      A vertical-style data structure and operations on data in that structure are explored and tested in the domain of sliding window average algorithms for geographical information systems (GIS) data. The approach allows working ...
    • Zone Based Hybrid Approach for Clustering and Data Collection in Wireless Sensor Networks 

      Dayananda, Karanam Ravichandran (North Dakota State University, 2018)
      A wireless sensor network (WSN) is a collection of spatially distributed autonomous sensor nodes that can be used to monitor, among other things, environmental conditions. WSN nodes are constrained by their limited energy ...