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A time series of a stock's highest price during a trading day (at the New York Stock Exchange), is provided. In each test case, the day's highest prices is missing for certain days. By analyzing the data, I will try to identify the missing price for those particular days. Directories: my_hackerrank_solution: shows my accepted code on Hackerrank.
Traffic flow data from induction loop sensors are essentially a time series, which is also spatially related to traffic in different road segments. The spatio-temporal traffic data can be converted into an image where the traffic data are expressed in a 3D space with respect to space and time axes.
Nov 02, 2020 · Microsoft DART team tracks 77k active web shells Thursday, February 6, 2020 by Brittany Hainzinger. In a blog post promoting the capabilities of its commercial security platform, Microsoft said that on a daily basis the company's security team detects and tracks on average around 77,000 active web shells, spread across 46,000 infected servers.
A real-time cheque processing system using U-NET for segmentation. The processing takes 2.46s/cheque with an accuracy of 93%. Developed a Custom OCR with 99% accuracy for MICR recognition (superior than state-of-the-art OCR’s such as Google Vision
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I have a time series that has internet traffic rates. 14772 row value and 1 column. I use NARnet at NN Time Series Toolbox and train it with %70 and test with %30 of series. I need the MAPE, so I divided the TargetSeries(Actual Values from .xlsx) to two matrix: TrainSeries(first 10340) and TestSeries(last 4432 value).
Multivariate time series are available in the traffic system and we intend to examine the issue for the real data in the traffic system. In this paper, we propose the multivariate predicting method and discuss the prediction performance of multivariate time series by comparison with univariate time...
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Time series forecasting is a process, and the only way to get good forecasts is to practice this process. In this tutorial, you will discover how to forecast the monthly sales of French champagne with Python. Working through this tutorial will provide you with a framework for the steps and the tools for working through […] Multivariate time series forecasting is one of the most commonly encountered problems with various applications such as weather forecasting, stock price prediction, real estate predictions. We will try to predict the output based on previous time series data for the output value.Watch CBS television online. Find CBS primetime, daytime, late night, and classic tv episodes, videos, and information. Apple's 10-inch iPad is on sale at an all-time low at Best Buy There's even a rare deal for the 128GB model. By J. Fingas, 12.28.20. View 12.26.20 12.26.20 Apple is having iCloud activation ... Mar 03, 2015 · DNS update of the new address on which the application now runs takes a lot of time. ASR and Azure Traffic Manger combined provide best in class solution to reduce this time. Let me show you how. First of these two factors depends on the complexity and size of the application you are recovering. Over the course of the next few (actually many) days, I will be posting the solutions to previous Hacker Rank challenges. The page is a good start for people to solve these problems as the time constraints are rather forgiving.

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