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 [...]
Time to Liquidation of SMEs: The Predictability of Survival Models
Tác giả: Nguyễn Bá Hùng Abstract One of the most crucial information in predicting firm [...]
A cloud 15kV-HDPE insulator leakage current classification based improved particle swarm optimization and LSTM-CNN deep learning approach
Tác giả: Thao Nguyen Da, Phuong Nguyen Thanh, Ming-Yuan Cho Abstract Real-time insulator leakage current [...]
Monthly Tourism Demand Forecasting With COVID-19 Impact-Based Hybrid Convolution Neural Network and Gate Recurrent Unit
Tác giả: Da Thao Nguyen, Yi-min Li, Chi Lu Peng, Ming-Yuan Cho, Thanh-Phuong Nguyen Abstract [...]
Cloud-based AIoT intelligent infrastructure for firefighting pump fault diagnosis-based hybrid CNN-GRU deep learning technique
Tác giả: Da Thao Nguyen, Thanh Phuong Nguyen, Ming-Yuan Cho Abstract Firefighting pumps provide vital [...]
Time to Liquidation of SMEs: The Predictability of Survival Modelspre
Abstract One of the most crucial information in predicting firm time to liquidation is, given [...]