Essays about: "absence prediction"
Showing result 1 - 5 of 25 essays containing the words absence prediction.
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1. Predicting Short-term Absences of a Railway Crew using Historical Data
University essay from KTH/Matematisk statistikAbstract : Transportation via train is considered the most environmentally friendly way of traveling and is widely seen as the future of transportation. Canceled and delayed trains worsen customer satisfaction; thus, punctual trains are crucial for railway companies. READ MORE
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2. Processing, Modeling, and Forecasting: A Time Series Analysis of Sick Leave Absences in Sweden and Evaluating the Impact of Macro Factors
University essay from Lunds universitet/Matematisk statistikAbstract : Sick absence affects companies both operationally and economically and the matter has become increasingly prominent following the COVID-19 pandemic. MedHelp Care is an e-health company working towards increasing workplace wellness by offering insights into absence and rehabilitation matters. READ MORE
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3. Predictive MR Image Generation for Alzheimer’s Disease and Normal Aging Using Diffeomorphic Registration
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Alzheimer´s Disease (AD) is the most prevalent cause of dementia, signifying a progressive and degenerative brain disorder that causes cognitive function deterioration including memory loss, communication difficulties, impaired judgment, and changes in behavior and personality. Compared to normal aging, AD introduces more profound cognitive impairments and brain morphology changes. READ MORE
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4. He's on Fire? Strategic Decisions and Allocation Adjustments Under the Hot Hand Fallacy
University essay from Lunds universitet/Nationalekonomiska institutionenAbstract : This paper empirically explores 10 years of play-by-play data from the seasons 2011-2021 from National Basketball Association with a comprehensive dataset with 2.7 million shots to test for a hot hand, (i.e., predictability in future outcomes) using three separate models. READ MORE
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5. Early Warning System of Students Failing a Course : A Binary Classification Modelling Approach at Upper Secondary School Level
University essay from KTH/LärandeAbstract : Only 70% of the Swedish students graduate from upper secondary school within the given time frame. Earlier research has shown that unfinished degrees disadvantage the individual student, policy makers and society. A first step for preventing dropouts is to indicate students about to fail courses. READ MORE