Essays about: "filter validation"
Showing result 1 - 5 of 56 essays containing the words filter validation.
-
1. Estimation of Parabolic Microwave Antenna Movements Using Sensor Fusion
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : Wireless communication has seamlessly integrated itself into our daily lives, with Ericsson pioneering the development of comprehensive mobile ecosystems. As the demand for data traffic continues to surge, the enhancement of both cellular radio systems and backhaul infrastructure remains paramount. READ MORE
-
2. Acoustic Characterization of Catalyst
University essay from KTH/Skolan för teknikvetenskap (SCI)Abstract : The WHO has set a sound level threshold of 55 dB, beyond which noise is considered harmful to humans when exposed for an extended period of time. It is, however, estimated by the European Environmental Agency that over 110 million people in the EU are regularly exposed to levels of traffic noise above 55 dB. READ MORE
-
3. Airspeed estimation of aircraft using two different models and nonlinear observers
University essay from Linköpings universitet/FordonssystemAbstract : When operating an aircraft, inaccurate measurements can have devastating consequences. For example, when measuring airspeed using a pitot tube, icing effects and other faults can result in erroneous measurements. READ MORE
-
4. Evaluating Random Forest and k-Nearest Neighbour Algorithms on Real-Life Data Sets
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Computers can be used to classify various types of data, for example to filter email messages, detect computer viruses, detect diseases, etc. This thesis explores two classification algorithms, random forest and k-nearest neighbour, to understand how accurately and how quickly they classify data. READ MORE
-
5. Fog detection using an artificial neural network
University essay from Lunds universitet/Matematisk statistikAbstract : This project studies a method of image-based fog detection directly from a camera without using the transmissometer. Fog can be detected using transmissometers which could be a very costly approach. This thesis presents an image-based approach for fog detection using Artificial Neural networks. READ MORE