Global ETD Search

11	My Role as a Technical Communicator in an Interactive Media Organization La Foret, Annmarie 19 November 2002 (has links) No description available. internship report internship experience redesign web site problem-solving approaches technical communication Interactive Media Group role as technical communicator MTSC
12	A technical writing internship with Bluespring Software, Inc. Rudolph, Kathryn Marie. January 2004 (has links) Thesis (M.T.S.C.)--Miami University, Dept. of English, 2004. / Title from first page of PDF document. Includes bibliographical references (p. Xx-Xx).
13	Practicing Technical Communication in a Clinical Laboratory Kerby, Audrey J. 02 December 2005 (has links) No description available. Clinical Laboratory Medical Technologist MTSC Mercy Health Partners laboratory hospital knowledge management change agent problem solving core laboratory
14	Report on a MTSC Internship at Golder Associates Inc Krugh, Lisa S. 19 November 2009 (has links) No description available. Communication Engineering Environmental Engineering Environmental Science Rhetoric technical communication technical editing Golder Associates Inc. environmental communication MTSC program internship report Front End Engineering Design Report communication of technical information
15	Practicing Technical and Scientific Communication in a Community Health Center Pegue, Misty Lynn 04 May 2010 (has links) No description available. Communication Design Health Health Care Health Education Literacy Organization Theory Public Health Technology community health center clinic technical communication diabetes chronic care training information design technology sehc health center health clinic primary care MTSC internship public health organization theory
16	AUGMENTATION AND CLASSIFICATION OF TIME SERIES FOR FINDING ACL INJURIES Johansson, Marie-Louise January 2022 (has links) This thesis addresses the problem where we want to apply machine learning over a small data set of multivariate time series. A challenge when classifying data is when the data set is small and overfitting is at risk. Augmentation of small data sets might avoid overfitting. The multivariate time series used in this project represent motion data of people with reconstructed ACLs and a control group. The approach was pairing motion data from the training set and using Euclidean Barycentric Averaging to create a new set of synthetic motion data so as to increase the size of the training set. The classifiers used were Dynamic Time Warping -One Nearest neighbour and Time Series Forest. In our example we found this way of increasing the training set a less productive strategy. We also found Time Series Forest to generally perform with higher accuracy on the chosen data sets, but there may be more effective augmentation strategies to avoid overfitting. computer science machine learning motion analysis reconstructed ACL anterior cruciate ligament time series forest dynamic time wapring ACL multivariate time series clasification MTSC time series classification TSC euclidean barycentric average euclidean barycentric averaging autmentation of time series augmentation of multivariate time series data augmentation augmentation Computer Sciences Datavetenskap (datalogi)

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