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Home » AI Researchs
Foundation Models

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[VINIF2022] Transfer Learning for Combinatorial Optimization Problems

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BKAI-NAVER Open Datasets

Following the success of BKAI-NAVER challenges 2022, BKAI now releases all datasets used in the...

BKAI-IGH NeoPolyp-Small: A dataset for fine-grained polyp segmentation

BKAI-IGH NeoPolyp-Small is a public dataset released by BKAI, Hanoi University of Science and Technology...

Identifying antioxidant using Deep Learning

Reactive oxygen species (ROS) play many roles in the body, such as cell signaling, homeostasis,...

iProDNA-CapsNet: Identifying Protein-DNA Binding Residues using Capsule Neural Networks

We propose iProDNA-CapsNet – a new prediction model identifying protein-DNA binding residues using an ensemble...

iPseU-NCP: Identifying RNA Pseudouridine sites using Random Forest and NCP-encoded features

We propose iPseU-NCP – an efficient computational framework to predict pseudouridine sites using the Random...

Minimum Inhibitory Concentration Prediction for Antibiotics towards Klebsiella Pneumoniae

In this study, we introduce eMIC-AntiKP, a computational framework specifically designed to predict MIC values...

vi_spacy: A Vietnamese language model for spaCy

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pyvi: A Python Vietnamese Toolkit

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[VINIF2020] Fi-Mi: A Fine-grained AI-based Mobile Air Quality Monitoring and Forecasting System

Fi-Mi is a project funded by VinIF, composed of HUST team (SoICT, SEE), Chiba University,...

[VINIF2020] Development of a Real-time AI-assisted System to Detect Colon Polyps and Identify Lesions at High Risk of Malignancy During Endoscopy

The purpose of the project is to conduct research and development of a real-time AI-assisted...

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  • Home Page
  • Our Team
  • Research
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    • News
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    • Internal Only
  • Contact Us
    • bkai@soict.hust.edu.vn
    • 08:00 - 17:00
    • (+84) 24 3869 2463