A Failure Diagnosis Approach for Firefighting Pump based Deep Learning GRU Methodology
Tác giả: Wen-Bin Liu; Thuc-Minh Bui; Quyet Nguyen Doan; Huong Le Thi; Trang Nguyen Thi [...]
Novel Cloud-AIoT Fault Diagnosis for Industrial Diesel Generators based Hybrid Deep Learning CNN-BGRU Algorithm
Tác giả: Thao Nguyen Da, Phuong Nguyen Thanh, Ming-Yuan Cho Abstract The industrial diesel generator is essential [...]
Hourly load prediction based feature selection scheme and hybrid CNN-LSTM method for building’s smart solar microgrid
Tác giả: Thao Nguyen Da, Ming-Yuan Cho, Phuong Nguyen Thanh Abstract The short-term load prediction [...]
Tourism demand prediction based Deep Learning Long Short-Term Memory: Case Study in Vietnam
Tác giả: Thao Nguyen Da, Li Yimin, Chi Lu Peng, Tien Nguyen Quoc, Anh Tran [...]
15kV HPDE Insulator leakage current classification based Deep learning gated reccurrent unit
Tác giả: Thao Nguyen Da, Thuc-Minh Bui, Cuong Phan Van, Nhat-Luong Nhieu and Phuong Nguyen [...]
A Novel Dataset for Deep Learning Model evaluation in Images Authentication Systems
The research community has shown increasing interest in using artificial intelligence (AI) to automatically generate [...]
Tourism Demand Prediction after Covid-19 with Deep Learning Hybrid CNN-LSTM – Case study of Vietnam and Province
Tác giả: Thao Nguyen-Da,Yi-Min Li,Chi-Lu Peng, Ming-Yuan Cho, Phuong Nguyen-Thanh Abstract The tourism industry experienced [...]
Categorizing 15 kV High-Voltage HDPE Insulator’s Leakage Current Surges Based on Convolutional Neural Network Gated Recurrent Unit
Tác giả: Wen-Bin Liu, Phuong Nguyen Thanh, Ming-Yuan Cho, Thao Nguyen Da * Abstract The [...]
Online Prognostic Failure AIoT System for Industrial Generators Maintenance Service based Two-stage Deep Learning Algorithm
Tác giả: Da Thao Nguyen, Thanh Phuong Nguyen, Ming-Yuan Cho Abstract Intelligent anomaly diagnosis for [...]
Real-time AIoT anomaly detection for industrial diesel generator based an efficient deep learning CNN-LSTM in industry 4.0
Tác giả: Thao Nguyen Da, Phuong Nguyen Thanh, Ming-Yuan Cho AbstractOne of the most crucial [...]