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$20 USD / hodinu
Pochází z KOREA, REPUBLIC OF
seoul, korea, republic of
$20 USD / hodinu
Aktuálně je zde 2:48 odp.
Připojil se října 29, 2021
0 Recommendations

Nguyen L.

@nguyenluongvuong

 5,0 (12 recenze)
4,9
4,9
82%
82%
$20 USD / hodinu
Pochází z KOREA, REPUBLIC OF
seoul, korea, republic of
$20 USD / hodinu
100 %
Úspěšně realizované projekty
100 %
V rámci rozpočtu
100 %
Včas
16 %
Poměr opětovného zaměstnání

Translator, MySQL, Java, Python

Luong Vuong Nguyen is a Ph.D Candidate at Chung-Ang University, Korea since August 2018. His research topics include knowledge engineering on data science by using data mining, machine learning, ambient intelligence, and logical reasoning. My skills are suitable with several tasks as below: - Translation from English to Korean and vice versa - Translation from English to Vietnamese and vice versa - Translation from Korean to Vietnamese and vice versa - All tasks with Latex (convert from PDF, Word, or fix issues) - ML and DL (Using Java, Python, and R program languages) - Full-stack Web developer (JSP + MySQL) - WordPress (not expert but good) - Data scrapping from existing website (could build tool by Python if requested) My good characterize are: hardworking, honest, and responsible. I commit that if I accept the project, I will deliver good results to satisfy my clients More about my academic research here: [login to view URL]
Freelancer Python Developers Korea, Republic of
Zobrazit všechny Python Developers v Korea, Republic of

Kontaktujte Nguyen L. ohledně vaší práce

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Portfolio

9559054
The project was built with the aim of collecting data on tourist places according to the opinions of users from different cultures of countries. Dependencies: Java8, JSP, MySQL, TomcatEE The system is currently released at: http://recsys.cau.ac.kr:8084/ourplaces
OurPlaces: Crowdsourcing platform for cross-cultural users
9559046
SABRE platform is built based on Java Web Application with Spring Framework and MVC model. The architecture of the platform contains two services: web service and background service. On the web service side, we use Apache Tomcat and Java Server Pages. We decided to use the MySQL database on the background service side to store all datasets collected because it has rock-solid reliability, security, and on-demand scalability. All collected feedback information from users is stored in the MySQL database. Dependencies: Java8, Spring, JSP, MySQL, TomcatEE The system released at http://sabre.cau.ac.kr
SBARE Platform: Cross-domain recommendation system
9559048
OurMovieSimilarity (OMS) helps you find movies that you think are similar and then, recommends other movies for you to watch. OMS is run by KEL (Knowledge Engineering Labotary) at Chung-Ang University. By using OMS, you will help us develop new experimental tools and interfaces for data exploration. Dependencies: Java8, JSP, MySQL, TomcatEE The system running at http://recsys.cau.ac.kr:8084/ourmoviesimilarity
Movie Recommendation System
9568364
The task includes 2 PDF files in English, all files are research articles and consist of 70 scanned pages (~20k words). I finish this task in 5 days with a very clean translation, re-type all words to an editable version (MS Word), re-draw all technical figures with notation translated.
English to Korean (Technical reports)
9568354
Implementation of a Hidden Markov Model (HMM) in java to classify malware families. Stacked three HMMs and used a Support Vector Machine (SVM) as a meta classifier to improve the results. Used AUC as the main metric. This project only worked with winwebsec, zbot, and zeroAccess. Each sample contained the extracted operational codes (opcodes) from the binaries of the malware sample
Malware Classification by HMM and SVM (Java + Python)
9568340
This dataset consists of all 70k REAL faces from the Flickr dataset collected by Nvidia, as well as 70k fake faces sampled from the 1 Million FAKE faces (generated by StyleGAN) that were provided by Bojan. In creating the Model, I tried Different model architectures like VGG, mobile net but DenseNet works best. The final accuracy of the test-set is from 88%-96%
Fake Face Detection (Python)
9559054
The project was built with the aim of collecting data on tourist places according to the opinions of users from different cultures of countries. Dependencies: Java8, JSP, MySQL, TomcatEE The system is currently released at: http://recsys.cau.ac.kr:8084/ourplaces
OurPlaces: Crowdsourcing platform for cross-cultural users
9559046
SABRE platform is built based on Java Web Application with Spring Framework and MVC model. The architecture of the platform contains two services: web service and background service. On the web service side, we use Apache Tomcat and Java Server Pages. We decided to use the MySQL database on the background service side to store all datasets collected because it has rock-solid reliability, security, and on-demand scalability. All collected feedback information from users is stored in the MySQL database. Dependencies: Java8, Spring, JSP, MySQL, TomcatEE The system released at http://sabre.cau.ac.kr
SBARE Platform: Cross-domain recommendation system
9559048
OurMovieSimilarity (OMS) helps you find movies that you think are similar and then, recommends other movies for you to watch. OMS is run by KEL (Knowledge Engineering Labotary) at Chung-Ang University. By using OMS, you will help us develop new experimental tools and interfaces for data exploration. Dependencies: Java8, JSP, MySQL, TomcatEE The system running at http://recsys.cau.ac.kr:8084/ourmoviesimilarity
Movie Recommendation System
9568364
The task includes 2 PDF files in English, all files are research articles and consist of 70 scanned pages (~20k words). I finish this task in 5 days with a very clean translation, re-type all words to an editable version (MS Word), re-draw all technical figures with notation translated.
English to Korean (Technical reports)
9568354
Implementation of a Hidden Markov Model (HMM) in java to classify malware families. Stacked three HMMs and used a Support Vector Machine (SVM) as a meta classifier to improve the results. Used AUC as the main metric. This project only worked with winwebsec, zbot, and zeroAccess. Each sample contained the extracted operational codes (opcodes) from the binaries of the malware sample
Malware Classification by HMM and SVM (Java + Python)
9568340
This dataset consists of all 70k REAL faces from the Flickr dataset collected by Nvidia, as well as 70k fake faces sampled from the 1 Million FAKE faces (generated by StyleGAN) that were provided by Bojan. In creating the Model, I tried Different model architectures like VGG, mobile net but DenseNet works best. The final accuracy of the test-set is from 88%-96%
Fake Face Detection (Python)

Recenze

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Zobrazeno 1 - 5 z 12 recenzí
Filtrovat recenze podle:
5,0
$218,25 USD
Project for Nguyen L. -- 2
On time Delivery, Good quality work, Smooth communication
Java
Python
Translation
MySQL
+1 dalších
Avatar uživatele
Pochází z Prithvi J.
@prithvionearth
•
před 2 roky
5,0
$20,00 USD
Project for Nguyen L. -- 3
翻译的很快，很有耐心 The translation is fast and he is patient
Java
Python
Translation
MySQL
+1 dalších
Avatar uživatele
Pochází z Le W.
@OrangePig
•
před 2 roky
5,0
$992,00 USD
Project for Nguyen L.
Great freelancer, always fast and good quality very recommended
Java
JSP
Python
Translation
+1 dalších
Avatar uživatele
Pochází z LinguiServ
@traductoresfrar
•
před 2 roky
5,0
$215,00 USD
Project for Nguyen L.
Exceptional work on our first Korean<>English translation. Very professional, reliable and great communication. We look forward to working with Nguyen again soon.
Java
Python
Translation
Data Mining
+2 dalších
Avatar uživatele
Pochází z Victor L.
@vlujan
•
před 2 roky
5,0
$25,00 USD
Using ANNs modelling with Python programming
Amazing. To sum up my experience with this freelancer. He is truly an amazing Developer. Extremely professional, and has never let me down. Before settling for mediocre, check out and talk to him and you will not be disappointed!!
Python
Machine Learning (ML)
Data Mining
Deep Learning
Avatar uživatele
Pochází z S M T.
@SmTopazal
•
před 2 roky

Zkušenosti

PhD Researcher

Chung-Ang University
zář 2018 - Současnost
My research topics include knowledge engineering on data science by using data mining, machine learning, ambient intelligence, and logical reasoning. Find out more information about me during this time through this link: https://luongvuongnguyen.github.io

Software Engineering

Da Nang University
říj 2010 - srp 2018 (7 roků, 10 měsíců)
Team leader in building the university administration system including modules: training management, dormitory management, equipment management, financial management, and so on. Participate as a very important member in the development of websites of each faculty and department of the University. Participating in managing and developing the system administration, database administration.

Vzdělání

PhD in Computer Science

Chung-Ang University, Korea, Republic of 2018 - 2021
(3 roky)

Master in Computer Science

Dai hoc Da Nang, Vietnam 2011 - 2013
(2 roky)

Publikace

Tourism Recommender System based on Cognitive Similarity between Cross-Cultural Users

17th International Conference on Intelligent Environments (IE 2021), IOS Press
DOI: 10.3233/AISE210101

Extending Collaborative Filtering Recommendation Using Word Embedding: A Hybrid Approach

Concurrency and Computation: Practice and Experience
DOI: 10.1002/cpe.6232

OurPlaces: Cross-Cultural Crowdsourcing Platform for Location Recommendation Services

ISPRS International Journal of Geo-Information
DOI: 10.3390/ijgi9120711

Modeling User Loyalty for Korean Political YouTube Channels

11st International Conference on RACS 2020, pp. 101–106, ACM
DOI: 10.1145/3400286.3418254

Content-Based Collaborative Filtering using Word Embedding: A Case Study on Movie Recommendation

11st International Conference on RACS 2020, pp. 101–106, ACM
DOI: 10.1145/3400286.3418253

Bio-inspired Approaches for Smart Energy Management: State of the Art and Challenges

Sustainability
DOI: 10.3390/su12208495

Cognitive Similarity-Based Collaborative Filtering Recommendation System

Applied Sciences-Basel
DOI: 10.3390/app10124183

Crowdsourcing Platform for Collecting Cognitive Feedbacks from Users

Springer Series in Reliability Engineering Book Series, Springer
DOI: 10.1007/978-3-030-43412-0_9

Kontaktujte Nguyen L. ohledně vaší práce

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Ověření

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Top dovednosti

Python 8
Translation 7
Data Extraction 7
Java 5
MySQL 4

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