Profilbillede af vbhavesh448
@vbhavesh448
Flag of India Rajkot, India
Member since 1. juli 2015
2 Anbefalinger

vbhavesh448

Online Offline
I would like to work on new things. Ready for taking challenges in the development of any type of the applications. I can provide High Technology, High Speed, High Quality with Regular Communication and Daily Work Update Report. I'm happy to work for long-term with my clients. I promise your idea will come to reality. The solution will be with Cost Effective & Timely Delivery. Area of Expertise: Object-oriented design .Net, C#, C, C++ Windows Application Web Application (asp.net, MVC) Mobile Application (Xamarin, Android, iOS, Windows Phone) Entity Framework, LINQ HTML, CSS, AJAX, Bootstrap, JavaScript, XML MS SQL, MySQL, MS Access, SQLite HTML Agility, Windows Services, Web API, Web Services Dev Express, Telerik, Syncfusion, Dot net Bar
$7 USD/t
10 anmeldelser
5.1
  • 100%Fuldførte jobs
  • 100%Inden for budgettet
  • 100%Til tiden
  • 50%Genansættelsesrate

Portfolio

Seneste bedømmelser

Erfaring

Project Manager

Jun 2015

i have worked with almost many development languages project.

Uddannelse

Bachelor of Engineering

2009 - 2013 (4 years)

Master in Technology

2013 - 2015 (2 years)

Qualifications

Code Trouble shoot (2015)

RK University

Code hunt event held at RKU.

C Certified Developer (2010)

Aptech

Certificate for C language.

Publikationer

A Review on Image Compression in Parallel using CUDA

Now a days images are prodigiously and sizably voluminous in size. So, this size is not facilely fits in applications. For that image compression is require. Image Compression algorithms are more resource conserving. It takes more time to consummate the task of compression. Utilizing Parallel implementation of the compression algorithm this quandary can be overcome. CUDA (Compute Unified Device Architecture) Provides parallel execution for algorithm utilizing the multi-threading.

Parallel Image Compression using CUDA with Median Filter

Images are becoming bulkier in size. This size is not physible for use with the many of the application. To make usable this bulkier image size must be reduced by image compression algorithm. Image Compression algorithms are resource and time conservative. Time can be reduced by the providing more resources to the compression algorithm. By Parallel execution this goal can be achieved. CUDA (Compute Unified Device Architecture) provides a platform for the parallel implementation of the algorithm.

A Hybrid Approach for Big Data Analysis of Cricket Fan Sentiments in Twitter

Twitter has become one of the most widely used social networks, and its popularity is increasing day by day. In this paper, we collected real-time tweets from Indian Cricket Team fans during the eight matches of ICC Cricket World Cup (CWC) 2015 using the social media twitter. We performed sentiment analysis on the tweets to test emotions of Indian Cricket Lovers. The analysis is based on the fact that the emotions of fans change frequently with each event.

Certificeringer

  • US English Level 1
    95%

Verifikationer

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