Now showing items 1-3 of 3

    • Bayesian Approach for Detection Classification 

      Annapureddy, Anupama Reddy (North Dakota State University, 2011)
      The objective of this paper is to develop and test a software system that uses incomplete information from a collection of sensors to classify different objects present in a particular area with a pre-specified probability. ...
    • Deterministic Greedy Algorithms for Optimal Sensor Placement 

      Chintamaneni, Venkata Santosh (North Dakota State University, 2012)
      A sensor is a device which can be sensitive to any physical stimulus, such as light, heat, or a particular motion, and responds with a respective impulse. A graph is an abstract representation for a set of objects of any ...
    • Predicting and Enhancing Spring Wheat Grain Protein Content through Sensing and In-Season Nitrogen Fertilization 

      Rellaford, Matthew John (North Dakota State University, 2018)
      Grain protein content is an essential component to producing a profitable Hard Red Spring Wheat (HRSW) (Triticum aestivum L.) crop in the northern Great Plains. Growers can increase grain protein content through in-season ...