Invited Keynotes
Towards a Foundation of Web3
In-Memory Computing Architectures for Big data and Machine Learning Applications
Secure and Efficient Implementation of Electronic Money
Managing the Quality of Data and Metadata for Biobanks
Big Data Analytics and Distributed Systems
Towards A Privacy, Secured and Distributed Clinical Data Warehouse Architecture
Improving the Storage Utilization of 0-Complete Trees as Index Structures
Implement the Data Conversion System by using Lightweight Coreset for Validation Process
Content Selection Methods Using User Interest Prediction Based on Similarities of Web Activities
ImageNet Challenging Classification with the Raspberry Pis: A Federated Learning Algorithm of Local Stochastic Gradient Descent Models
Covid-19 Detection Based on Lung Lesion Signs in Big Data Processing Environment
Predicting Loan Repayment Using A Hybrid of Genetic Algorithms, Logistic Regression, and Artificial Neural Networks
Performance Evaluation of Regular Decomposition and Benchmark Clustering Methods
Security and Privacy Engineering
Authentication of Luxury Products Identifying Key Requirements from a Seller and Consumer Perspective
Analysis of A New Practical SPN-based Scheme in the Luby-Rackoff Model
Authorization and Access Control for Different Database Models: Requirements and Current State of the Art
A Hierarchical Deterministic Wallet using Ed25519 Digital Signature Scheme
A Secure Framework for Internet of Medical Things Security Based System using Lightweight Cryptography enabled Blockchain
Signature Algorithms on Non-commutative Algebras over Finite Fields of Characteristic Two
Design a Smart Lock System Using Fingerprint and Password for Enhancing Security
Machine Learning and Artificial Intelligence for Security and Privacy
Towards an Attention-based Threat Detection System for IoT Networks
Security and Privacy Issues and Solutions in Federated Learning for Digital Healthcare
pPATE: A Pragmatic Private Aggregation of Teacher Ensembles Framework by Sparse Vector Technique based Differential Privacy, Paillier Cryptosystem and Human-in-the-loop
Vietnamese Texts Writing Styles Based Authorship Identification Model
Application of Machine Learning in Malware Detection
Smart City and Industry 4.0 Applications
Text Classification Models and Topic Models: An Overall Picture and A Case Study in Vietnamese
Deep Hybrid Models for Forecasting Stock Midprices from the High-Frequency Limit Order Book
An Image Denoising Model based on Nonlinear Partial Diferential Equation Using Deep Learning
Recommendations in E-Commerce Systems based on Deep Matrix Factorization
AttendanceKit: A set of Role-based Mobile Applications for Automatic Attendance Checking with UHF RFID using Realtime Firebase and Face Recognition
Poses Classification in a Taekwondo Lesson using Skeleton Data extracted from Videos with Shallow and Deep Learning Architectures
Social Distancing Violation Detection in Video using ChessBoard and Bird's-eye Perspective
3D-FaultSeg-UNet: 3D Fault Segmentation in Seismic Data Using Bi-stream U-Net
Applying Artificial Intelligence to Plan Flight Paths for Aircraft at Subsonic Speeds
Capacity Building in Government: Towards Developing A Standard for A Functional Specialist in AI for Public Services
On the Feasibility of Machine Learning Models for Customer Spending Prediction Problem
Forecasting the Opening and Closing Price Trends of Stock Using Hybrid Models and Artificial Intelligence Algorithm
Artificial Intelligence Use in e-Government Services: A Systematic Interdisciplinary Literature Review
Face Recognition based on Deep Learning and Data Augmentation
An Approach for Similarity Vietnamese Documents Detection from English Documents
Combine Clasification Algorithm and Centernet Model to Predict Trafic Density
Data Analytics and Healthcare Systems
Comparison of Health Indicators Construction for Concrete Structure Using Acoustic Emission Hit and Kullback-Leibler Divergence
Lung and Colon Tumor Classification Based on Transfer Learning-Based Techniques
An Enhanced Diabetes Mellitus Prediction using Feature Selection-Based Type-2 Fuzzy Model
A Novel Approach of Using Neural Circuit Policies for COVID-19 Classification on CT-images
Lung Lesions Segmentation and Classification with Deep Neural Networks
Security and Data Engineering
Image Denoising using Fully Connected Network with Reinforcement Learning
Energy Harvesting Aware for Delay-efficient Data Aggregation in Battery-free IoT Sensors
Deep Models for Mispronounce Prediction for Vietnamese Learners of English
An Approach to Hummed-tune and Song Sequences Matching
84 Birds Classification using Transfer Learning and EfficientNetB2
A Session-based Recommender System for Learning Resources
A Drowsiness Detection System Based on Eye Landmarks Using IoT
A Novel Approach for Vietnamese Speech Recognition Using Conformer
Enhancing obfuscated malware detection with machine learning techniques
Detecting Intrusion using Multiple Datasets in Software-Defined Networks
Detecting Exams Fraud Using Transfer Learning and Fine-tuning for ResNet50
Shape of Pill Recognition Using Mask R-CNN.