Abstract: We propose an efficient online video filtering method, called adaptive exponential filtering (AES) to refine pixel prediction maps. Assuming each pixel is associated with a discriminative ...

ABSTRACT: The transportation sector is responsible for 25% of the total Carbon dioxide (CO2) emissions, whereas 60.6% of this sector represents small and medium passenger cars. However, as noted by ...

Lisitsa uses the example of a toggle button, as shown below. Clicking it switches between 'on' and 'off.' There are no animations set up yet, and the toggle button simply moves between the left and ...

Rajeev Dhir is a writer with 10+ years of experience as a journalist with a background in broadcast, print, and digital newsrooms. Thomas J Catalano is a CFP and Registered Investment Adviser with the ...

Developed a data analysis script to perform demand forecasting, improving supply chain efficiency by utilizing the ARIMA and the Exponential Smoothing models.

In time series exponential smoothing can be considered as a method to smooth the time series data. We can also consider it as a thumb rule technique which is an approximate method of doing something.

Abstract: In this paper, we propose an adaptive exponential smoothing approach for software reliability prediction. We first explain the exponential smoothing technique from the mathematical ...