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gandhinagar,
india
Trenutno je 3:57 dop. tukaj
Datum pridružitve maj 1, 2015
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Hetali T.
@hetali92
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gandhinagar,
india
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Opravljeno delo
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V okviru proračuna
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Stopnja ponovnega najema
Software Developer
Stopite v stik s/z Hetali T. glede vašega dela
Prijavite se, da se o podrobnostih pogovorite v klepetu.
Ocene
Spremembe shranjene
Tukaj ni nobenih ocen!
Izkušnje
Sr. Software Developer
nov. 2017 - sep. 2018 (10 mesecev, 1 dan)
- RESPONSIBLE FOR WRITING SERVER SIDE WEB APPLICATION LOGIC USING TECHNOLOGIES LIKE PHP, LARAVEL, YII, YII2, CODEIGINTER, NODE JS, VUE JS.
- RESPONSIBLE FOR NEW SOFTWARE DEVELOPMENT, ENHANCEMENTS, BUG FIXING AND PRODUCTION SUPPORT.
- WORKED ON VARIOUS VERSION CONTROL REPOSITORIES LIKE GIT HUB, BIT BUCKET, GIT LAB.
PHP Developer
feb. 2017 - okt. 2017 (8 mesecev, 1 dan)
- RESPONSIBLE FOR REQUIREMENTS GATHERING, ANALYSIS, DESIGN AND CODING.
- WORKED ON TECHNOLOGIES LIKE PHP, CODEIGNITER, RESTFUL WEB SERVICES.
- WORKED ON VARIOUS VERSION CONTROL REPOSITORIES LIKE GITHUB, BIT BUCKET & GIT LAB.
PHP Developer
jan. 2016 - jan. 2017 (1 leto)
Designing, Developing and Maintainance
Izobrazba
Master of Technology - Computer Science and Engineering
(2 leti)
Bachelors in Engineering - Computer Engineering
(4 leta)
Higher Secondary Certificate - Science
(2 leti)
Publikacije
Background Subtraction techniques for video surveillance applications
International journal of Trend in Research and Development
Background subtraction is widely used approach for finding multiple moving objects. In this review, Study on Various background subtraction methods is done , where to extract foreground, background model with learning rate is used. The implementation of three traditional and most widely used methods Frame Differencing, Approximated Median Filtering and Gaussian Mixture Model shows how accurately each can identify moving objects with static camera.
Movie related information retrieval using semantic search
International journal of Computer Science and Communication
Most of the existing ontology based semantic search models requires user to enter a query in formal languages. A framework for ontology based information retrieval is proposed. In order to overcome the usability limitations, a query interface which requires the user to enter the query in natural language is provided. A domain-specific ontology based on movies is used to develop a prototype of the proposed model which improves search accuracy.
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Verifikacije
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