This paper considers the removal of low-frequency trend contributions from turbulence intensity values at sites for which only 10-min statistics in wind speed are available. It is proposed problem be reformulated as a direct regression task, solvable using machine learning techniques conjunction with training data formed measurements underlying (non-averaged) Once trained, models can de-trend h...

This study explores the methods to de-trend smooth structural break processes while conducting unit root tests. The two most commonly applied approaches for modelling breaks namely transition and Fourier functions are considered. We perform a sequence of power comparisons among alternative tests that accommodate or sharp breaks. experiments demonstrate utilizing function lead unexpected results...

User-contributed messages on social media sites such as Twitter have emerged as powerful, real-time means of information sharing on the Web. These short messages tend to reflect a variety of events in real time, making Twitter particularly well suited as a source of real-time event content. In this paper, we explore approaches for analyzing the stream of Twitter messages to distinguish between ...

As the whole world is revolutionized with the advent of internet services and improved communication facilities. Now people prefer to consult their doctor by using the internet facilities. To communicate with the doctor for diagnosis and treatment of patient from the distant location by using the telecommunication services is known as telemedicine. In telemedicine technique the information rela...

This paper discusses algorithms for filtering and recovering underlying trends from noisy data. The key assumption in this paper is that the trends are monotonic, e.g., describe system deterioration that accumulates irreversibly. A maximum a posteriori probability (MAP) estimate of the trend can be obtained using an empirical signal model (MAP prior). The overall problem statement is related to...

Piketty claims that the gap between return to capital and growth rate (r−g) governs evolution of wealth inequality. This paper assesses its empirical validity using an IV approach almost one century US data. Our results are twofold: First, shares nonstationary, necessitating first differences draw a valid inference from any econometric exercise. is consistent with Piketty’s line argumentation c...