Essays about: "signal scoring."
Showing result 1 - 5 of 11 essays containing the words signal scoring..
-
1. Named Entity Recognition for Case Narratives of Adverse Event Reports
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : In the field of pharmacovigilance (PV), signal detection and assessment activities play a crucial role. They require a PV assessor to read through countless adverse event reports which is manual labor-intensive work. To ease the reading process, visual highlighters can be provided by leveraging natural language processing techniques. READ MORE
-
2. Intelligence Extraction Using Machine Learning for Threat Identification Purposes : An Overview
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Radar is an invaluable tool for detecting and assessing threats on land, on the seas and in the air. To properly evaluate threats, radar operators construct threat libraries where the signal characteristics of emitters are stored and mapped to specific types of platforms. READ MORE
-
3. Quantification of similarity between dickcissel song dialects
University essay from Lunds universitet/Matematisk statistikAbstract : In this thesis, five methods of scoring the similarity of phrases from dickcissel birds are explored. The methods are tested on real and simulated data. The method that is found to perform the best is a variation of the spectrographic cross-correlation method that also looks at correlation in the frequency domain. READ MORE
-
4. Using inertial sensors for assessing movement symmetries in trotting dogs : a feasibility study
University essay from SLU/Dept. of Clinical SciencesAbstract : Lameness or other disturbances in the musculoskeletal system are common reasons why dog owners seek veterinary care. The lameness is most often associated with pain, degenerative changes in joints or muscles, or injury. Evaluation of lameness have traditionally been performed subjectively by means of visual assessment and scoring. READ MORE
-
5. Power Spectral Density Based Sleep Scoring Using Artificial Neural Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Sleep scoring is the process that medical researchers use to analyze the sleep of a subject. By looking at signals in the brain and muscles, it is possible to determine the current sleep state of the subject. The procedure is traditionally done manually, requiring a lot of tedious processing of data. READ MORE