Essays about: "prediction engine"
Showing result 1 - 5 of 77 essays containing the words prediction engine.
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1. Optimizing the instruction scheduler of high-level synthesis tool
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : With the increasing complexity of the chip architecture design for meeting different application requirements, the corresponding instruction scheduler of high-level synthesis tool needs to solve complex scheduling problems. Dynamically Reconfigurable Resource Array (DRRA) is a novel architecture based on Coarse-Grained Reconfigurable Architecture (CGRA) on SiLago platform, the instruction scheduler of Vesyla-II, the dedicated High-Level Synthesis (HLS) tool targets for DRRA needs to schedule the specific instruction sets designed for Distributed Two-level Control System (D2LC). READ MORE
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2. NOWCASTING THE SWEDISH UNEMPLOYMENT RATE USING GOOGLE SEARCH DATA
University essay from Uppsala universitet/Statistiska institutionenAbstract : In this thesis, the usefulness of search engine data to nowcast the unemployment rate of Sweden is evaluated. Four different indices from Google Trends based on keywords related to unemployment are used in the analysis and six different regARIMA models are estimated and evaluated. READ MORE
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3. Fog detection using an artificial neural network
University essay from Lunds universitet/Matematisk statistikAbstract : This project studies a method of image-based fog detection directly from a camera without using the transmissometer. Fog can be detected using transmissometers which could be a very costly approach. This thesis presents an image-based approach for fog detection using Artificial Neural networks. READ MORE
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4. Prototype of a Range Prediction Interface for an Electric Rescue Boat
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Global warming and its effects on the environment call for electrification of the transportation sector. In this effort, the boating industry has not been a pioneer, while being responsible for almost 3 percent of global anthropogenic carbon emissions. READ MORE
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5. Enhancing failure prediction from timeseries histogram data : through fine-tuned lower-dimensional representations
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Histogram data are widely used for compressing high-frequency time-series signals due to their ability to capture distributional informa-tion. However, this compression comes at the cost of increased di-mensionality and loss of contextual details from the original features. READ MORE