Thông tin nhà nghiên cứu KH&CN

Thuật toán định tuyến đảm bảo cân bằng tải và hệ số định tuyến hằng số sử dụng yếu tố ngẫu nhiên trong mạng cảm biến không dây với hố mạng

Region-Level Data Attribution for Text-to-Image Generative Models

Federated Prompt-Tuning with Heterogeneous and Incomplete Multimodal Client Data

Seeing the Trees for the Forest: Rethinking Weakly-Supervised Medical Visual Grounding

ConstStyle: Robust Domain Generalization with Unified Style Transformation

A Survey of Machine Unlearning

Too Tall for the Crib: When Vision-Language Models Outgrow Pediatric X-rays

Unleashing SAM for Few-Shot Medical Image Segmentation with Dual-Encoder and Automated Prompting

Noisy Data-based Attack: a New Type of Untargeted Attack in Federated Learning and Its Countermeasures

AIM: An Accurate and Explainable Model for ATAC to GEX Translation and Pathway Analysis

SAFA: Handling Sparse and Scarce Data in Federated Learning with Accumulative Learning

Certified Unlearning for Federated Recommendation

Localizing Before Answering: A Benchmark for Grounded Medical Visual Question Answering

A Semi-Supervised Learning Framework with Cross-Magnification Attention for Glioma Mitosis Classification

NeurFlow: Interpreting Neural Networks through Critical Neuron Groups and Functional Interactions

Bridging Classification and Segmentation in Osteosarcoma Assessment via Foundation and Discrete Diffusion Models

Foundation Model and Temporal Priors-guided Transductive Few-shot Action Recognition

CT to PET Translation: A Large-scale Dataset and Domain-Knowledge-Guided Diffusion Approach

Sign Language Recognition: A Large-scale Multi-view Dataset and Comprehensive Evaluation

FQ-SAT: a Fuzzy Q-learning-based MPQUIC Scheduler for Data Transmission Optimization

On-Device Diagnostic Recommendation with Heterogeneous Federated BlockNets

Privacy-Preserving Explainable AI: A Survey

Higher-order Knowledge-enhanced Recommendation with Heterogeneous Hypergraph Multi-Attention

Zero-shot Pill-Prescription Matching with Graph Convolutional Network and Contrastive Learning

A Data-driven Approach for High Accurate Spatiotemporal Precipitation Estimation

Self-supervised air quality estimation with graph neural network assistance and attention enhancement,

GAMMA: a Universal Model for Calibrating Sensory Data of Multiple Low-Cost Air Monitoring Devices

FedMAC: Tackling Partial-Modality Missing in Federated Learning with Cross-Modal Aggregation and Contrastive Regularization

Incorporating Surrogate Gradient Norm to Improve Offline Optimization Techniques

CARER - ClinicAl Reasoning-Enhanced Representation for Temporal Health Risk Prediction

Multi-task Learning of Heterogeneous Hypergraph Representations in LBSNs

Improving Time Series Encoding with Noise-Aware Self-Supervised Learning and an Efficient Encoder

LoGra: an LSTM-DDPG Integrated MPQUIC Scheduler for Mobile Video Streaming

Fast-FedUL: A Training-Free Federated Unlearning with Provable Skew Resilience

Traffic Engineering in Large-scale Networks via Multi-Agent Deep Reinforcement Learning with Joint-Training

Boosting Offline Optimizers with Surrogate Sensitivity

Hierarchical Federated Learning in MEC Networks with Knowledge Distillation

A Contrastive Learning and Graph-based Approach for Missing Modalities in Multimodal Federated Learning

Combating Quality Distortion in Federated Learning with Collaborative Data Selection

Enhancing the Generalization of Personalized Federated Learning with Multi-head Model and Ensemble Voting"

SEM: A Simple Yet Efficient Model-agnostic Local Training Mechanism to Tackle Data Sparsity and Scarcity in Federated Learning

Hierarchical Federated Learning in MEC Networks with Knowledge Distillation

A Contrastive Learning and Graph-based Approach for Missing Modalities in Multimodal Federated Learning

Combating Quality Distortion in Federated Learning with Collaborative Data Selection

Enhancing the Generalization of Personalized Federated Learning with Multi-head Model and Ensemble Voting

MuLeS: a Multi-client Learning-based MPQUIC Scheduler

SEM: A Simple Yet Efficient Model-agnostic Local Training Mechanism to Tackle Data Sparsity and Scarcity in Federated Learning

An Automated PM2.5 Analysis and Prediction System with Encoder-Decoder Architecture and Continual Learning Mechanism

FedBlock: A Blockchain Approach to Federated Learning against Backdoor Attacks

FedCert: Federated Accuracy Certification

Achieving Multi-Time-Step Segment Routing via Traffic Prediction and Compressive Sensing Techniques

High Accurate and Explainable Multi-Pill Detection Framework with Graph Neural Network-Assisted Multimodal Data Fusion

Attentional Ensemble Model for Accurate Discharge and Water Level Prediction with Training Data Enhancement

FedDCT: Federated Learning of Large Convolutional Neural Networks on Resource Constrained Devices using Divide and Collaborative Training

"Improving algal bloom detection using spectroscopic analysis and machine learning: A case study in a large artificial reservoir, South Korea

An Evaluation of IoT Device Performance in Ethereum-based IoT System

A Robust Document Localization Solution with Segmentation and Clustering

A Data-driven Scheduling Strategy for Mobile Air Quality Monitoring Devices

A Deep Reinforcement Learning-based Multi-Objective Optimization for Crowdsensing-based Air Quality Monitoring Systems

FedGrad: Mitigating Backdoor Attacks in Federated Learning Through Local Ultimate Gradients Inspection

CADIS: Handling Cluster-skewed Non-IID Data in Federated Learning with Clustered Aggregation and Knowledge Distilled Regularization

Efficient Integration of Multi-Order Dynamics and Internal Dynamics in Stock Movement Prediction

Accurate Discharge and Water Level Forecasting Using Ensemble Learning with Genetic Algorithm and Singular Spectrum Analysis-based Denoising

Q-learning-based Distributed Multi-Charging Algorithm for Large-scale WRSNs

Poisoning GNN-based Recommender Systems with Generative Surrogate-based Attacks

Implementation of P4-based Schedulers for Multipath Communication

Fuzzy Q-learning-based Opportunistic Communication for MEC-enhanced Vehicular Crowdsensing

On the Global Maximization of Network Lifetime in Wireless Rechargeable Sensor Networks

A Q-learning-based Multipath Scheduler for Data Transmission Optimization in Heterogeneous Wireless Networks

Multi-stream Fusion for Class Incremental Learning in Pill Image Classification

A Novel Approach for Pill-Prescription Matching with GNN Assistance and Contrastive Learning

A Deep Reinforcement Learning-based Adaptive Charging Policy for WRSNs

Image-based Contextual Pill Recognition with Medical Knowledge Graph Assistance

FedDRL: Deep Reinforcement Learning-based Adaptive Aggregation for Non-IID Data in Federated Learning

Deep Reinforcement Learning-based Charging Algorithm for Target Coverage and Connectivity in WRSNs

A Lightweight and Efficient GA-based Model-Agnostic Feature Selection Scheme for Time Series Forecasting

A Host-based Investigation of IPv6 in Academia: The Cases of Japan and Vietnam

Spatial-temporal Coverage Maximization in Vehicle-based Mobile Crowdsensing for Air Quality Monitoring

Deep Reinforcement Learning-Based Charging Algorithm for Target Coverage and Connectivity in WRSNs

FedDRL: Deep Reinforcement Learning-based Adaptive Aggregation for Non-IID Data in Federated Learning

A Lightweight and Efficient GA-based Model-Agnostic Feature Selection Scheme for Time Series Forecasting

Generating Test Data for Blackbox Testing from UML-Based Web Engineering Content and Presentation Models

Development of Rules and Algorithms for Model-Driven Code Generator with UWE Approach

Network Lifetime Maximization for Full Area Coverage in Wireless Sensor Networks

Exploiting Q-learning in Extending the Network Lifetime of Wireless Sensor Networks with Holes

A Dynamic Routing Protocol for Maximizing Network Lifetime in WSNs with Holes

Extending Network Lifetime by Exploiting Wireless Charging in WSN

Genetic Algorithm-based Periodic Charging Scheme for Energy Depletion Avoidance in WRSNs

A Reinforcement Learning Algorithm for Resource Provisioning in Mobile Edge Computing Network

Optimizing Charging Locations and Charging Time for Energy Depletion Avoidance in Wireless Rechargeable Sensor Networks

Deployment Optimization for Target Coverage and Connectivity in WSNs with a Delay-constrained Mobile Sink

A 1/2-Approximation Algorithm for Target Coverage Problem in Mobile Air Quality Monitoring Systems

Modeling and Minimizing Latency in Three-tier V2X Networks

SAFL: A Self-Attention Scene Text Recognizer with Focal Loss

Optimized On-demand Charging Algorithm in WRSN

An (e−1)/(2e−1)-Approximation Algorithm for Maximizing Coverage Capability in Mobile Air Quality Monitoring Systems

Optimal Deployment of Vehicular Mobile Air Quality Monitoring Systems

Multi-time-step Segment Routing based Traffic Engineering Leveraging Traffic Prediction

GCRINT: Network Traffic Imputation Using Graph Convolutional Recurrent Neural Network

Efficient Prediction of Discharge and Water Levels Using Ensemble Learning and Singular-Spectrum Analysis-based Denoising

MC-OCR Challenge 2021: A Multi-modal Approach for Mobile-Captured Vietnamese Receipts Recognition

Fuzzy Deep Q-learning Task Offloading in Delay Constrained Vehicular Fog Computing

Multi-Agent Multi-Armed Bandit Learning for Offloading Delay Minimization in V2X Networks

Speaker count: a new building block for speaker diarization

Realizing Mobile Air Quality Monitoring System: Architectural Concept and Device Prototype

Usability and Aesthetics: Better Together for Automated Repair of Web Pages

Q-learning-based Opportunistic Communication for Real-time Mobile Air Quality Monitoring Systems

Visual-guided audio source separation: an empirical study

Spatial-temporal Coverage Maximization in Vehicle-based Mobile Crowdsensing for Air Quality Monitoring

Deep Reinforcement Learning-based Offloading for Latency Minimization in 3-tier V2X Networks

TELPAC: A Time and Energy Efficient Protocol for Locating and Patching Coverage Holes in WSNs

Node placement for connected target coverage in wireless sensor networks with dynamic sinks

A Path-Length Efficient, Low-Overhead, Load-Balanced Routing Protocol for Maximum Network Lifetime in Wireless Sensor Networks with Holes

(1+epsilon)2- and Polynomial-Time Approximation Algorithms for Network Lifetime Maximization with Relay Hop Bounded Connected Target Coverage in WSNs

Energy-efficient routing in the proximity of a complicated hole in wireless sensor networks

PM2.5 Prediction Using Genetic Algorithm-based Feature Selection and Encoder-Decoder Model

Empowering 5G Mobile Devices with Network Softwarization

An On-demand Charging for Connected Target Coverage in WRSNs using Fuzzy Logic and Q-learning

QIH: an Efficient Q-learning Inspired Hole-Bypassing Routing Protocol for WSNs

A bi-level optimized charging algorithm for energy depletion avoidance in wireless rechargeable sensor networks

Joint Optimization of Charging Location and Time for Network Lifetime Extension in WRSNs

Constant Approximation for Opportunistic Sensing in Mobile Air Quality Monitoring System

On the Global Maximization of Network Lifetime in Wireless Rechargeable Sensor Networks

Performance Evaluation of Energy Efficient Schemes for Green Office Networks

Efficient Approximation of Routing Holes in Wireless Sensor Networks

ELBAR: Efficient Load Balanced Routing Scheme for Wireless Sensor Networks with Holes

Hole Approximation-Dissemination Scheme for Bounded-Stretch Routing in Sensor Networks

Load Balanced Routing with Constant Stretch for Wireless Sensor Network with Holes

A Distributed Protocol for Detecting and Updating Hole Boundary in Wireless Sensor Networks

A Time and Energy Efficient Protocol for Locating Coverage Holes in WSNs

A Delay-Guaranteed Geographic Routing Protocol with Hole Avoidance in WSNs

Constant Stretch and Load Balanced Routing Protocol for Bypassing Multiple Holes in Wireless Sensor Networks

Load Balanced and Constant Stretch Routing in the Vicinity of Holes in WSNs

Node Placement for Target Coverage and Network Connectivity in WSNs with Multiple Sinks

Routing in the Vicinity of Multiple Holes in WSNs

Deep Convolutional LSTM Network-based Traffic Matrix Prediction with Partial Information

On hole approximation algorithms in wireless sensor networks

A Distributed Algorithm for Monitoring an Expanding Hole in Wireless Sensor Networks

An Energy Efficient and Load Balanced Distributed Routing Scheme for Wireless Sensor Networks with Holes

Distributed Hole-Bypassing Protocol in WSNs with Constant Stretch and Load Balancing

Kéo dài thời gian hoạt động của mạng Internet vạn vật sử dụng các thuật toán lấy cảm hứng từ tự nhiên

Khai phá các cấu trúc rời rạc trong tối ưu hoá hoạt động một số mạng tự trị

Hệ thống canh tác carbon chủ động cho nông nghiệp tại tỉnh Thanh Hóa

Bộ dữ liệu và mô hình nhận diện chữ viết tay tiếng Việt

Mô hình nhận diện chữ viết tiếng Việt

VAIPE: AI-assisted IoT-enabled personalized health care monitoring and supporting system for Vietnamese

Nghiên cứu xây dựng giải pháp co dãn tài nguyên hiệu quả cho các dịch vụ IoT có đặc trưng động trong tính toán đám mây và tính toán biên

Khai phá các cấu trúc rời rạc trong tối ưu hoá hoạt động một số mạng tự trị

Fi-Mi: Hệ thống di động quan trắc và dự đoán chất lượng không khí ứng dụng trí tuệ nhân tạo (VINIF.2020.DA09)

Các kỹ thuật phát triển và kiểm thử các ứng dụng web sử dụng biến đổi mô hình và ngôn ngữ ATL

Đề xuất thuật toán phát hiện và theo dõi hố mạng trong mạng cảm biến không dây. Ứng dụng quan sát vùng xảy ra thiên tai, hỏa hoạn.