Essays about: "Multi Curve"
Showing result 1 - 5 of 50 essays containing the words Multi Curve.
-
1. Optimal taxation by two-agent reinforcement learning
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : An economy’s tax policy is one of the vital moments for, on the one hand, stimulating economic growth and labor, and, on the other hand gaining revenues from economic performance. A sufficient level of tax revenues is further important to keep up with governmental obligations and social welfare. READ MORE
-
2. A Transformer-Based Scoring Approach for Startup Success Prediction : Utilizing Deep Learning Architectures and Multivariate Time Series Classification to Predict Successful Companies
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The Transformer, an attention-based deep learning architecture, has shown promising capabilities in both Natural Language Processing and Computer Vision. Recently, it has also been applied to time series classification, which has traditionally used statistical methods or the Gated Recurrent Unit (GRU). READ MORE
-
3. Modeling competitive adsorption of binary mixtures of volatile organic compounds
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Adsorption is a common technique for the removal of volatile organic compounds (VOCs) from industrial waste streams. The multi-component adsorption on zeolites, particularly the interactions between VOCs and water vapor is sparsely understood and is yet to be described by empiric and full-physical models. READ MORE
-
4. Deep convolution neural network for attention decoding in multi-channel EEG with conditional variational autoencoder for data augmentation
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : Objectives: This project aims to develop a deep learning-based attention decoding system that can distinguish between noise and speech in noise and also identify the direction of attended speech from the brain data recorded with electroencephalography (EEG) instruments. Two deep convolutional neural network (DCNN) models will be designed: (1) one DCNN model capable of classifying incoming segments of sound as speech or speech in background noise, and (2) one DCNN model identifying the direction (left vs. READ MORE
-
5. Comparison of manual and semi-automatic RNA extraction methods using two-tailed RT-qPCR for absolute quantification as part of the sepsis diagnosis research
University essay from Högskolan i Skövde/Institutionen för biovetenskapAbstract : Nowadays, sepsis has become a major healthcare problem. Its variance of symptoms and the lack of time to act makes it greatly difficult to treat. An early diagnosis using biomarkers, particularly miRNA, could potentially increase the patient’s prognosis as well as reduce the use of antibiotics for the treatment. READ MORE