Browsing by Subject "Detectors."
Now showing items 1-3 of 3
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Bayesian Approach for Detection Classification
(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
(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
(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 ...