Essays about: "On-time performance"
Showing result 11 - 15 of 84 essays containing the words On-time performance.
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11. Comparison of lossy and lossless compression algorithms for time series data in the Internet of Vehicles
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : As automotive development advances, connectivity features are continually added to vehicles that, in conjunction, form an Internet of Vehicles. For numerous reasons, it is vital for vehicle manufacturers to collect telemetry from their fleets. READ MORE
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12. Estimation of average travel speed on a road segment based on weather and road accidents
University essay from Malmö universitet/Institutionen för datavetenskap och medieteknik (DVMT)Abstract : The previous research available to predict travel speed is wide and has been extensively studied. What currently is missing from the previous work is to estimate the travel speed when different non-recurrent events occur, such as car accidents and road maintenance work. READ MORE
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13. Package Concept for High Variation Products to Improve Production : Package Development and Implementation to Improve Production of Heavy and High Variation Products
University essay from Linköpings universitet/ProduktrealiseringAbstract : Within the Master’s program in mechanical engineering at Linköping University, this thesis project unfolds in collaboration with Metso Sweden, specifically at their Sala factory. Focused on addressing challenges in packaging processes for Metso’s VASA-line slurry pumps, the project endeavors to devise a concept that not only meets global shipping requirements but also enhances factory output. READ MORE
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14. Development of a Forecasting Model for Original Equipment Manufacturer (OEM) Components - A Design Science Study at Tetra Pak
University essay from Lunds universitet/Teknisk logistikAbstract : Title: Development of a Forecasting Model for Original Equipment Manufacturer (OEM) Components. A Design Science Study at Tetra Pak. READ MORE
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15. Hybrid Deep Learning Model for Cellular Network Traffic Prediction : Case Study using Telecom Time Series Data, Satellite Imagery, and Weather Data
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Cellular network traffic prediction is a critical challenge for communication providers, which is important for use cases such as traffic steering and base station resources management. Traditional prediction methods mostly rely on historical time-series data to predict traffic load, which often fail to model the real world and capture surrounding environment conditions. READ MORE