Thông tin nhà nghiên cứu KH&CN

Giấy Khen

An incorporation of metaheuristic algorithm and two-stage deep learnings for fault classified framework for diesel generator maintenance

AIoT-based indoor air quality prediction for building using enhanced metaheuristic algorithm and hybrid deep learning

Online prognostic failure AIoT system for industrial generators maintenance service based two-stage deep learning algorithm

A cloud-based leakage current classified system for high voltage insulators with improved particle swarm optimization and hybrid deep learning technique

Cloud-based AIoT intelligent infrastructure for firefighting pump fault diagnosis-based hybrid CNN-GRU deep learning technique

Monthly Tourism Demand Forecasting With COVID‐19 Impact‐Based Hybrid Convolution Neural Network and Gate Recurrent Unit

Eye tracking system to detect driver drowsiness

Deep Learning Method For Load Forecast In Smart Solar System Based Long Short-Term Memory

A cloud 15kV-HDPE insulator leakage current classification based improved particle swarm optimization and LSTM-CNN deep learning approach

Complementary grid power prediction using artificial neural network in the energy management system of a disaster prevention smart solar microgrid

Insulator Leakage Current Prediction Using Hybrid of Particle Swarm Optimization and Gene Algorithm‐Based Neural Network and Surface Spark Discharge Data

Real-time leakage current classification of 15kV and 25kV distribution insulators based on bidirectional long short-term memory networks with deep learning machine

Short-term three-phase load prediction with advanced metering infrastructure data in smart solar microgrid based convolution neural network bidirectional gated recurrent unit

Convolutional neural network bidirectional long short-term memory to online classify the distribution insulator leakage currents

Short-term load power prediction based deep learning gated recurrent unit in solar power plant

Design and Construction of Microgrid in Small Factories

Predicting Leakage Current of Distribution Insulators Based Deep Learning Gated Recurrent Unit

Short-term Solar Power Prediction using Long Short-Term Memory in Solar Plant with Deep Learning Machine

Three-Phase Load Prediction-Based Hybrid Convolution Neural Network Combined Bidirectional Long Short-Term Memory in Solar Power Plant

Multilevel categorizing leakage current of 15 kV HDPE insulators based bidirectional gated recurrent unit

Online leakage current classification using convolutional neural network long short-term memory for high voltage insulators on web-based service

Categorizing 15 kV High-Voltage HDPE Insulator’s Leakage Current Surges Based on Convolution Neural Network Gated Recurrent Unit

Tourism demand prediction after COVID-19 with deep learning hybrid CNN–LSTM—Case study of Vietnam and provinces

Hourly load prediction based feature selection scheme and hybrid CNN‐LSTM method for building's smart solar microgrid

Failure Classified Method for Diesel Generators Based Long Short-Term Memory Approach

A Failure Diagnosis Approach for Firefighting Pump Based Deep Learning GRU Methodology

Novel cloud-AIoT fault diagnosis for industrial diesel generators based hybrid deep learning CNN-BGRU algorithm

Optimizing K-means clustering center selection with density-based spatial cluster in radial basis function neural network for load forecasting of smart solar microgrid

Advanced AIoT for failure classification of industrial diesel generators based hybrid deep learning CNN-BiLSTM algorithm

Real-time AIoT anomaly detection for industrial diesel generator based an efficient deep learning CNN-LSTM in industry 4.0