Voting rules for the Euréka Awards 2023:
- Step 1: Like the Euréka Science Award fan page (https://www.facebook.com/sinhviennckh).
- Step 2: React, comment, and share the poster of the topic you are voting for.
+ 1 Reaction: 1 point (Unlimited maximum points)
+ 1 Comment: 1 point (Maximum of 1509 points)
+ 1 Share: 1 point (Maximum of 1509 points)
Note:
- Your vote is valid only if you complete both steps.
- Vote with a spirit of scientific integrity and honesty for the topics.
The topic with the highest points in each field will receive the "Best Voted Poster in the Field" award. The winning topics will receive gifts and certificates from the organizing committee. Best of luck to all participating teams in conquering this award.
The voting period starts from the time each field's poster is posted until 5:00 PM on October 31, 2023 (Tuesday).
Join in voting for the Semi-final topics to strongly promote the research results of the participating topics in this year's Award.
*Topic Name: De-smarthealthcare - a solution for sharing electronic health records using interactive blockchain technology
*Team Members: Vo Anh Kiet; Nguyen Bui Kim Ngan; Nguyen Binh Thuc Tram; Le Tran Thuy Trang; Tran Duc Minh
Voting Link: https://www.facebook.com/photo/?fbid=313253714792170&set=a.313290561455152
*Topic Name: Building a personal profile system and recruitment support for businesses through blockchain technology and deep learning
*Team Members: Dang Minh Quan; Le Mai Duy Khanh; Le Anh Thu; Do Dang Kien Nam
Voting Link: https://www.facebook.com/photo/?fbid=313254041458804&set=a.313290561455152
*Topic Name: Method for detecting phishing websites based on deep multi-modal learning to evade sample evasion
*Team Members: Vo Quang Minh; Bui Tan Hai Dang; Tran Kim Ngoc Ngan
Voting Link: https://www.facebook.com/photo/?fbid=313254368125438&set=a.313290561455152
*Topic Name: Application of near-infrared spectroscopy and artificial intelligence in non-invasive blood glucose monitoring
*Team Member: Vo Huy Hoang
Voting Link: https://www.facebook.com/photo/?fbid=313254418125433&set=a.313290561455152
*Topic Name: Lightweight deep learning hybrid model for disease classification on corn leaves
*Team Member: Truong Dang Van Linh
Voting Link: https://www.facebook.com/photo/?fbid=313254744792067&set=a.313290561455152
*Topic Name: Analysis of combined Android applications to detect and classify malicious applications using deep learning
*Team Member: Nguyen Ngoc Truong
Voting Link: https://www.facebook.com/photo/?fbid=313255934791948&set=a.313290561455152
*Topic Name: Detection of binary code similarity using deep learning-based techniques in software security
*Team Members: Nguyen Hung Thinh; Nguyen Phuc Hai; Tran Dinh Khoa; Le Tran Thanh Nhan
Voting Link: https://www.facebook.com/photo/?fbid=313258078125067&set=a.313290561455152
*Topic Name: Detecting security vulnerabilities in web3 smart contracts based on multi-modal deep learning and natural language processing models
*Team Members: Le Cong Trinh; Trinh Minh Hoang; Vu Trung Kien; Dao Duc Vu
Voting Link: https://www.facebook.com/photo/?fbid=313259191458289&set=a.313290561455152
For more details, visit: https://www.facebook.com/tuoitre.uit/posts/pfbid02ACWnbMFbQTkX87Mmq...
Ha Bang - Media Collaborator, University of Information Technology
Translation: Nhat Hien
