Advanced search

Showing result 16 - 20 of 62 essays matching the above criteria.

1. 16. Low Power Hardware Accelerator For Gated Recurrent Unit

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Malavika Balakumar; [2022]
   Keywords : ;

   Abstract : Neural Networks are a subset of Machine Learning which are designed to recognize patterns. Recurrent Neural Networks are an important part of AI (Artificial Intelligence) which allows for short term as well as long term dependencies to be captured. READ MORE

3. 17. Time Dependencies Between Equity Options Implied Volatility Surfaces and Stock Loans, A Forecast Analysis with Recurrent Neural Networks and Multivariate Time Series

   University essay from KTH/Matematik (Avd.)

   Author : Simon Wahlberg; [2022]
   Keywords : RNN; LSTM; GRU; vector autoregression; implied volatility surface; stock loan; equity options; multivariate time-series analysis; financial mathematics.; Rekursiva neurala nätverk; LSTM; GRU; VAR; implicerade volatilitetsytor; aktielån; aktieoptioner; multidimensionell tidsserieanalys; finansiell matematik.;

   Abstract : Synthetic short positions constructed by equity options and stock loan short sells are linked by arbitrage. This thesis analyses the link by considering the implied volatility surface (IVS) at 80%, 100%, and 120% moneyness, and stock loan variables such as benchmark rate (rt), utilization, short interest, and transaction trends to inspect time-dependent structures between the two assets. READ MORE

4. 18. Data Trustworthiness Assessment for Traffic Condition Participatory Sensing Scenario

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Hairuo Gao; [2022]
   Keywords : Participatory sensing; Data trustworthiness assessment; Anomaly detection; Traffic prediction; Deep neural network; Deltagande avkänning; Bedömning av uppgifternas tillförlitlighet; Upptäckt av anomalier; Trafikprognoser; Djupt neuralt nätverk;

   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

5. 19. Towards a Nuanced Evaluation of Voice Activity Detection Systems : An Examination of Metrics, Sampling Rates and Noise with Deep Learning

   University essay from Linköpings universitet/Institutionen för datavetenskap

   Author : Ludvig Joborn; Mattias Beming; [2022]
   Keywords : voice activity detection; VAD; deep learning; machine learning; ML; artificial intelligence; AI; convolutional neural network; CNN; deep neural network; DNN; sound event detection; SED; mel spectrogram; audio processing; polyphonic sound detection score; PSDS; signal processing; signal to noise ratio; SNR; recurrent convolutional residual neural network; RCRNN; sampling rate; Gaussian noise;

   Abstract : Recently, Deep Learning has revolutionized many fields, where one such area is Voice Activity Detection (VAD). This is of great interest to sectors of society concerned with detecting speech in sound signals. One such sector is the police, where criminal investigations regularly involve analysis of audio material. READ MORE

6. 20. Predicting Bipolar Mood Disorder using LongShort-Term Memory Neural Networks

   University essay from Högskolan Dalarna/Institutionen för information och teknik

   Author : Saeed Mubasher Hafiz; [2022]
   Keywords : LSTM; LSTM Memory; Memorization vs. Delays; RNN; GRU;

   Abstract : 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