Dena Zhu, Zhe Yang, Mingjin Wang, Lei Zhang, Kang Li, Feiniu Yuan, Vol. 19, No. 11, November 30, 2025
10.3837/tiis.2025.11.013

• CNN
• Edge enhancement
• Interactive attention
• Smoke segmentation
• Transformer

Jun Wang, Xin Xiong, Xi Hu, Vol. 19, No. 11, November 30, 2025
10.3837/tiis.2025.11.004

• LSTM
• Multi-view
• NDLV
• Trajectory prediction
• Transformer
• xLSTM

Linjie Zhou, Likun Hu, Lu Ding, Vol. 19, No. 7, July 31, 2025
10.3837/tiis.2025.07.009

• Defect segmentation
• Cross attention
• Transformer
• Convolutional Neural Network
• Hybrid structures

Peng Liu, Hongwei Guo, Qingming Yu, S.P. Raja, Vol. 19, No. 7, July 31, 2025
10.3837/tiis.2025.07.001

• Traditional Chinese medicine
• Psychology health
• Evaluation Method
• Transformer
• Deep Reinforcement Learning

Chen Wang, Bo Xie, Peiqian Zhan, Xiaoqi Yang, Hua Zhang, Vol. 19, No. 3, March 31, 2025
10.3837/tiis.2025.03.004

• knowledge tracing
• skill tags
• masked cross attention
• Transformer block
• response prediction

Anh-Tuan Huynh, Phuoc Tran, Vol. 19, No. 2, February 28, 2025
10.3837/tiis.2025.02.006

• Fake news detection
• PhoBERT
• Social Media Analysis
• Transformer Models
• Vietnamese Fake News

Binbin Huang, Weiwei Xu, Zewen Lin, Zixin Huang, Yuyu Yin, Vol. 19, No. 2, February 28, 2025
10.3837/tiis.2025.02.004

• Cloud computing
• Deep Learning
• failure prediction
• Transformer

Changjun Zou, Vol. 19, No. 1, January 31, 2025
10.3837/tiis.2025.01.007

• Depth recovery
• Stereo vision
• multi-scale
• Swin Transformer
• Structural Similarity loss function

Yulin Cao, Chunyu Li, Guoqing Zhang, Yuhui Zheng, Vol. 18, No. 9, September 30, 2024
10.3837/tiis.2024.09.009

• Enhancement
• Transformer
• Low lumination
• spatial attention
• channel attention
• convolutional neural network.

Weiping Jiang, Yan Wei, Hao Zhai, Vol. 18, No. 7, July 31, 2024
10.3837/tiis.2024.07.010

• Multi-focus image fusion
• Swin Transformer
• wavelet transform
• Deep Learning