- 2025-04 - Breakthrough: Our nNFST model enhances security with advanced multiclass novelty detection for network intrusion systems is published at Journal of Network and Computer Applications
- 2025-04 - Just published: TinyResViT - Our innovative hybrid model revolutionizes on-device corn leaf disease detection is published at Internet of Things
- 2025-04 - Our paper EF-CenterNet: An efficient anchor-free model for UAV-based banana leaf disease detection is published at Computers and Electronics in Agriculture Journal (7.7 IF, ISI-Q1)
- 2024-10 - Innovation in infrastructure: Our YOLO-based deep learning models transform UAV-assisted bridge inspection is presented at International Conference on Advanced Technologies for Communications (ATC)
- 2024-09 - Securing IoT networks: Our DeepNIDS framework leverages neural networks for superior intrusion detection is presented at IEEE International Conference on Communication, Networks and Satellite (COMNETSAT)
- 2024-08 - Combating cyber threats: Our BERT-enhanced approach outperforms traditional methods in DGA botnet detection is presented at 13th International Conference on Control, Automation and Information Sciences (ICCAIS)
- 2024-07 - Defending web applications: Our XSShield solution combines novel datasets with lightweight AI to detect XSS attacks is published at Results in Engineering
- 2024-05 - Protecting web applications: Our unsupervised Gaussian Mixture Model effectively detects cyber attacks without human intervention is presented at The 13th Conference on Information Technology and Its Applications
- 2024-05 - Fighting cybercrime: Our novel dataset and deep learning solution takes phishing attack detection to the next level is presented at The 13th Conference on Information Technology and Its Applications
- 2024-05 - Revolutionizing smart agriculture: Our MobileH-Transformer enables real-time leaf disease detection for improved crop protection is published at Crop Protection
- 2024-04 - Raising the bar: Our automated benchmarking framework standardizes evaluation of anomaly-based intrusion detection systems is presented at International Conference on Multimedia Analysis and Pattern Recognition (MAPR)
- 2024-04 - Breathing cleaner air: Our advanced Bi-LSTM model with wavelet transform delivers superior air quality predictions is presented at International Conference on Multimedia Analysis and Pattern Recognition (MAPR)
- 2023-12 - Cleaner cities, healthier lives: Our IoT-based hybrid model delivers real-time outdoor air quality predictions is presented at IEEE International Conference on Communication, Networks and Satellite (COMNETSAT)
- 2023-12 - Saving lives and property: Our edge-based fire detection system provides real-time alerts through IoT technology is presented at IEEE International Conference on Communication, Networks and Satellite (COMNETSAT)
- 2023-11 - Securing the IoT ecosystem: Our robust intrusion detection scheme protects connected devices from evolving threats is published at Internet of Things
- 2023-10 - Staying one step ahead: Our hybrid learning model detects unknown DoS/DDoS attacks to safeguard IoT networks is published at Internet of Things
- 2023-09 - Reducing congestion and emissions: Our deep learning approach creates smarter traffic lights that respond to real-time flow patterns is presented at 9th NAFOSTED Conference on Information and Computer Science (NICS)
- 2023-09 - Feeding the future: Our lightweight hybrid model and cloud-based datasets enable efficient leaf disease detection for sustainable agriculture is published at Future Generation Computer Systems
- 2023-08 - Protecting cassava crops: Our FormerLeaf vision transformer efficiently detects leaf diseases to safeguard food security is published at Computers and Electronics in Agriculture
- 2023-07 - Finding needles in digital haystacks: Our robust and scalable framework revolutionizes information retrieval in big data environments is presented at 9th NAFOSTED Conference on Information and Computer Science (NICS)
- 2023-06 - Smarter security systems: Our deep feature selection method enhances machine learning-based attack detection accuracy and efficiency is presented at IEEE International Conference on Communication, Networks and Satellite (COMNETSAT)
- 2023-05 - Toward a predictive smart parking system in IoT-enabled cities is presented at 9th NAFOSTED Conference on Information and Computer Science (NICS)
- 2023-05 - Enhancing explainability of machine learning-based intrusion detection systems is presented at RIVF International Conference on Computing and Communication Technologies (RIVF)
- 2023-04 - A Real-time Border Surveillance System using Deep Learning and Edge Computing is presented at RIVF International Conference on Computing and Communication Technologies (RIVF)
- 2023-03 - Towards generating semi-synthetic datasets for network intrusion detection system is presented at International Conference on Information Networking (ICOIN)
- 2023-02 - Towards an attention-based threat detection system for iot networks is presented at International Conference on Future Data and Security Engineering
- 2023-01 - Towards a high-performance threat-aware system for software-defined networks is presented at International Conference on Advanced Technologies for Communications (ATC)
- 2022-12 - Preventing Adversarial Attacks Against Deep Learning-Based Intrusion Detection System is presented at International Conference on Information Security Practice and Experience
- 2022-11 - A lightweight machine-learning based wireless link estimation for iot devices is presented at 27th Asia Pacific Conference on Communications (APCC)
- 2022-10 - LS-TFP: A LSTM-Based Traffic Flow Prediction Method in Intelligent Internet of Things at International Conference on Cognitive and Intelligent Computing (ICCIC)
- 2022-09 - MidSiot: A multistage intrusion detection system for internet of things at Wireless Communications and Mobile Computing
- 2022-06 - IMIDS: An intelligent intrusion detection system against cyber threats in IoT at Electronics
- 2022-05 - Towards Remote Deployment for Intrusion Detection System to IoT Edge Devices at Recent Advances in Internet of Things and Machine Learning
- 2022-04 - LS-SPP: A LSTM-Based Solar Power Prediction Method from Weather Forecast Information at 8th NAFOSTED Conference on Information and Computer Science (NICS)
- 2022-03 - An ensemble feature selection algorithm for machine learning based intrusion detection system at 8th NAFOSTED Conference on Information and Computer Science (NICS)
- 2022-02 - Odlie: On-demand deep learning framework for edge intelligence in industrial internet of things at 8th NAFOSTED Conference on Information and Computer Science (NICS)
- 2022-01 - Brainyedge: An ai-enabled framework for iot edge computing at ICT Express
- 2021-12 - AirGen: GAN-based synthetic data generator for air monitoring in Smart City at IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI)
- 2021-11 - A scalable IoT framework to design logical data flow using virtual sensor at IEEE 13th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)
- 2021-10 - Dlase: A light-weight framework supporting deep learning for edge devices at 4th International Conference on Recent Advances in Signal Processing, Telecommunications & Computing (SigTelCom)
- 2021-09 - Towards AI‐based traffic counting system with edge computing at Journal of Advanced Transportation
- 2021-08 - Realguard: A lightweight network intrusion detection system for IoT gateways at Sensors
- 2021-07 - User-driven adaptive sampling for massive internet of things at IEEE Access
- 2021-06 - An industrial iot framework to simplify connection process using system-generated connector at IEEE 3rd International Forum on Research and Technologies for Society and Industry (RTSI)
- 2021-05 - WoT-AD: A descriptive language for group of things in massive IoT at IEEE 5th World Forum on Internet of Things (WF-IoT)
- 2021-04 - Artificial cognition for early leaf disease detection using vision transformers at International conference on advanced technologies for communications (ATC)
- 2020-12 - User-driven error detection for time series with events at IEEE 36th International Conference on Data Engineering (ICDE)
- 2020-11 - An efficient framework for Vietnamese sentiment analysis at 18th International Conference on Intelligent Software Methodologies, Tools, and Techniques (SoMeT)
