Essays about: "tidserier"
Showing result 1 - 5 of 8 essays containing the word tidserier.
-
1. Improving Training of Differentiable Neural Computers on Time Series
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Memory Augmented Neural Networks (MANN) is a hot research area within deep learning. One of the most promising MANN is the Differentiable Neural Network (DNC) which is able to learn, in a fully differentiable way, how to represent and store data into an external memory. READ MORE
-
2. Improving deep learning assistedfar-field electromagnetic sidechannelattacks on AES : Effects on attack efficiency from using additive noise and otherdata augmentation techniques
University essay from KTH/MekatronikAbstract : Profiled side-channel attacks on hardware implemented cryptographic algorithms have been a well-researched topic for the past two decades and many countermeasures against these attacks have been proposed and adopted by the industry. Recently, a new form of far field EM side channel called "screaming channel attacks" have been highlighted. READ MORE
-
3. Forecasting Price Direction Using Different Sampling Methods
University essay from KTH/Matematik (Avd.)Abstract : To extract usable information from financial data the prices of financial instruments must be summarized in an efficient manner. Typically price quotes are sampled at discrete and equidistant points in time to create a time series of prices at fixed times. READ MORE
-
4. Predicting Revenue with Price Indices for Baskets of Spare Parts using Machine Learning
University essay from KTH/Matematisk statistikAbstract : Companies in the spare part industry can implement a variety of different pricing techniques, which have traditionally been done through personnel know-how and industry conventions. One such technique is the use of price indices to track sales performance. READ MORE
-
5. Load and Demand Forecasting in Iraqi Kurdistan using Time series modelling
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis examines the concept of time series forecasting. More specifically, it predicts the load and power demand in Sulaymaniyah, Iraqi Kurdistan, who are today experiencing frequent power shortages. This study applies a commonly used time series model, the autoregressive integrated moving average model, which is compared to the naïve method. READ MORE
