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 [...]