Jong Gab Ho, Dae Gyeom Kim, Young Kim, Seung-wan Jang, Se Dong Min, Vol. 15, No. 11, November 30, 2021
10.3837/tiis.2021.11.001

• Convolutional Neural Network
• Monitoring application
• Plantar pressure image
• Plantar pressure index
• Velostat pressure sensor

Xiaodong Gu, Ji Ding, Vol. 15, No. 10, October 31, 2021
10.3837/tiis.2021.10.008

• Few-Shot Learning
• Siamese Network
• small object detection
• non-maximum suppression
• Convolutional neural networks

Han Qiao1, Shuang Liu, Qingzhen Xu, Shouqiang Liu, Wanggan Yang, Vol. 15, No. 10, October 31, 2021
10.3837/tiis.2021.10.011

• video action recognition
• multi segment
• two-stream convolutional neural network
• Transfer Learning
• pre-training

Xialu Li, Ziguan Cui, Zongliang Gan, Guijin Tang, Feng Liu, Vol. 15, No. 10, October 31, 2021
10.3837/tiis.2021.10.014

• salient object detection
• Deep Learning
• Convolutional Neural Network
• Multi-scale Information
• Multi-level Feature Fusion

Baixi Xing, Jian Dou, Qing Huang, Huahao Si, Vol. 15, No. 4, April 30, 2021
10.3837/tiis.2021.04.015

• Affective Computing
• Image Style Transfer
• Deep Convolutional Neural Networks

Bin Jiang, Qiang Ren, Fei Dai, Tian Zhou, Guan Gui, Vol. 14, No. 10, October 31, 2020
10.3837/tiis.2020.10.011

• multi-task cascaded convolutional neural networks
• real-time dynamic face recognition
• facial feature algorithms

Jeong Hoon Han, In Soo Kim, Cheol Hee Lee, Young Shik Moon, Vol. 14, No. 9, September 30, 2020
10.3837/tiis.2020.09.013

• Crack Detection
• Convolutional Neural Network
• Tunnel Lining Inspection

Husnu Baris Baydargil, Jangsik Park, Do-Young Kang, Hyun Kang, Kook Cho, Vol. 14, No. 9, September 30, 2020
10.3837/tiis.2020.09.001

• computer vision
• Deep Learning
• Convolutional neural networks
• Parallel model
• Image Classification
• Alzheimer’s disease

Chung-Il Kim, Yongjang Cho, Seungwon Jung, Jehyeok Rew, Eenjun Hwang, Vol. 14, No. 8, August 31, 2020
10.3837/tiis.2020.08.013

• environmental monitoring
• Animal sound classification
• Convolutional neural networks

Abdullah Al-Alyan, Saad Al-Ahmadi, Vol. 14, No. 7, July 31, 2020
10.3837/tiis.2020.07.001

• Phishing Detection
• Machine Learning
• Deep Learning
• Convolutional Neural Network (CNN)
• Cyber Security