Essays about: "limitation on benefit"
Showing result 1 - 5 of 43 essays containing the words limitation on benefit.
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1. Recommending digital books to children : Acomparative study of different state-of-the-art recommendation system techniques
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Collaborative filtering is a popular technique to use behavior data in the form of user’s interactions with, or ratings of, items in a system to provide personalized recommendations of items to the user. This study compares three different state-of-the-art Recommendation System models that implement this technique, Matrix Factorization, Multi-layer Perceptron and Neural Matrix Factorization, using behavior data from a digital book platform for children. READ MORE
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2. Backlog limitation system in Commercial Carrier hubs : Leveraging statistics techniques to limit the amount of backlog and late deliveries
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The main goal of Commercial Carriers is to deliver packages respecting the promises made to customers. Therefore, backlog prevention systems play a crucial role considering that backlogs would prevent CCs to reach their primary objective. READ MORE
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3. Throughput Analysis of Safepoint-attached Barriers in a Low-latency Garbage Collector : Analysis of a Compiler Optimization in the HotSpot JVM
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : When using managed programming languages, there is an essential benefit in having a fast and efficient compiler and garbage collector; one garbage collector currently under development is the HotSpot low-latency concurrent Generational Z Garbage Collector. Concurrent memory management runs application threads and garbage collection threads simultaneously. READ MORE
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4. Probabilistic Forecasting through Reformer Conditioned Normalizing Flows
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Forecasts are essential for human decision-making in several fields, such as weather forecasts, retail prices, or stock predictions. Recently the Transformer neural network, commonly used for sequence-to-sequence tasks, has shown great potential in achieving state-of-the-art forecasting results when combined with density estimations models such as Autoregressive Flows. READ MORE
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5. The effect of CMS with AR on drivingperformance
University essay from RISE Research Institutes of SwedenAbstract : This Master Thesis was conducted in the Industrial Design Engineering program at theChalmers University of Technology in collaboration with RISE and Volvo Cars. The aimwas to investigate the difference in driving performance between a traditional mirror, CameraMonitoring System (CMS), and CMS with augmented reality information (AR). READ MORE
