Essays about: "RNN"
Showing result 31 - 35 of 159 essays containing the word RNN.
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31. Investigating Machine Learning for verification of AMBA APB protocol.
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : It is a well-known fact that in any Application Specific Integrated Circuit (ASIC) design, verification consumes most time and resources. And when it comes to huge designs, finding bugs can be tedious given the area and the complexity. As per Moore’s law, the design complexity is increasing exponentially due to the growing demand for performance. READ MORE
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32. Data Trustworthiness Assessment for Traffic Condition Participatory Sensing Scenario
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Participatory Sensing (PS) is a common mode of data collection where valuable data is gathered from many contributors, each providing data from the user’s or the device’s surroundings via a mobile device, such as a smartphone. This has the advantage of cost-efficiency and wide-scale data collection. READ MORE
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33. Modelling of Capital Requirements using LSTM and A-SA in CRR 3
University essay from KTH/Matematik (Avd.)Abstract : In response to the Great Financial Crisis of 2008, a handful of measures were taken to increase the resilience toward a similar disaster in the future. Global financial regulatory entities implemented several new directives with the intention to enhance global capital markets, leading to regulatory frameworks where financial participants (FPs) are regulated with own fund's requirements for market risks. READ MORE
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34. Human Skeleton-based Transfer Learning on Personalized Rehabilitation Training Recognition
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Personalized rehabilitation training programs depend on the patient’s physical condition and the physiotherapist’s diagnosis, which varies for different people. As a patient, achieving a good training effect requires multiple periods, but rehabilitation training at home is often ineffective due to a lack of supervision and guidance. READ MORE
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35. Predicting Bipolar Mood Disorder using LongShort-Term Memory Neural Networks
University essay from Högskolan Dalarna/Institutionen för information och teknikAbstract : Bipolar mood disorder is a severe mental condition that has multiple episodesof either of two types: manic or depressive. These phases can lead patients tobecome hyperactive, hyper-sexual, lethargic, or even commit suicide — all ofwhich seriously impair the quality of life for patients. READ MORE