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Master's Theses

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2019

T[DOU19] Mihail Douhaniaris: Fully convolutional networks for segmentation of wearable sensor data (UnifyID)
T[ESK19] Janne Eskola: Developing an optimization model for VR's long-term locomotive allocation planning (VR)
T[GUN19] Nina Gunell: Optimal Route of Military Aircraft in Multi-Stage Surveillance, Reconnaissance and Target Acquisition Missions (Aalto University
T[KAN19] Tommi Kantala: Assessment of cyber risk for energy utilities (Sectra)
T[LAA19] Niko Laakkonen: Optimization Problems in Outpatient Clinic Production Planning and Control (Delfoi Ltd)
T[LAU19] Verneri Lauksio: Analysing regional response time of imaging satellite systems through simulation (Aalto University)
T[LEH19] Leo Lehikoinen: Simulation Approach to Rolling Stock Brake Pad Replacement Strategy Optimization (in Finnish) (VR)
T[MEL19] Sara Melander: Survival regression model for rolling stock failure prediction (VR)
T[MUT19] Juhani Mutikainen: Optimization Model for Multicriteria Workforce Planning of Flexible Train Driver Resource (VR)
T[NIS19] Olli Niskanen: An approach for automated rigging to facilitate 3D modeling in mobile augmented reality (3DBear)
T[SÄR19] Ilkka Särkiö: Topic modelling of Finnish Internet discussion forums as a tool for trend identification and marketing applications (Dagmar)
T[STR19] Jani Strandberg: Semi-automated scenario analysis of optimisation models (UPM)
T[TUR19] Samuli Turunen: Feasibility of Nonlinear Multifactor Classifiers for Predicting Share Returns (Evli Fund Management Company Ltd)
T[WAR19] Ella Warras: Optimizing Shelf Space Allocation in Grocery Retail (Relex Solutions)