Ruoyu Yan, Qinghua Zheng, Haifei Li, Vol. 4, No. 3, June 29, 2010
10.3837/tiis.2010.06.014

• Anomaly Detection
• Distributed Denial of Service
• Kalman filter
• Recursive least square
• router-wide traffic analysis

Yongmei Tian, Vol. 19, No. 4, April 30, 2025
10.3837/tiis.2025.04.007

• Anomaly Detection
• Bayesian Approach
• e-Commerce
• Fake reviews
• semi-supervised
• Tensor decomposition

Yao Yang, Xiaoling Chen, Linna Zhang, Yansen Huang, Yi Cen, Yigang Cen, Vol. 19, No. 3, March 31, 2025
10.3837/tiis.2025.03.010

• deep neural network
• Memory module
• feature fusion
• Anomaly simulation

Hyunbin Kim, Junchul Chun, Vol. 18, No. 8, August 31, 2024
10.3837/tiis.2024.08.013

• Anomaly Detection
• Image alignment
• PatchCore
• Semi-supervised learning
• Feature map hard masking

Bing Ning, Shuang Li, Xinli Wu, Wanming Hao, Vol. 18, No. 7, July 31, 2024
10.3837/tiis.2024.07.017

• IRS
• mmWave-mMIMO
• NOMA
• Resource Allocation
• Convex optimization

Nor Fadzilah Abdullah, Ammar Riadh Kairaldeen, Asma Abu-Samah, Rosdiadee Nordin, Vol. 18, No. 7, July 31, 2024
10.3837/tiis.2024.07.014

• Anomaly prediction
• Blockchain
• Clustering Algorithms
• Fraud Detection
• Internet of Things (IoT)
• Legitimate transactions
• Machine Learning
• Privacy
• security.

Zhenhua Li, Lei Zhang, Vol. 18, No. 7, July 31, 2024
10.3837/tiis.2024.07.009

• Melanoma segmentation
• Receptive field
• Attention Mechanism
• multi-scale contextural information.

Seong-Mok Kim, Ye-Eun Jeong, Yong Soo Kim, Youn-Ho Lee, Seung Young Lee, Vol. 18, No. 5, May 31, 2024
10.3837/tiis.2024.05.009

• Weapon System
• Missile
• Quality Control
• Anomaly Detection
• Unsupervised learning

Xuancheng Jin, Zhen Cheng, Zhian Ye, Weihua Gong, Vol. 18, No. 4, April 30, 2024
10.3837/tiis.2024.04.014

• Cooperative molecular communication
• Cylindrical anomalous-diffusive channel
• Optimizations
• Conjugate gradient algorithm

Kangseok Kim, Vol. 18, No. 2, February 29, 2024
10.3837/tiis.2024.02.012

• Anomaly Detection
• data augmentation
• Hybrid Approach
• NIDS
• Unsupervised Learning Technologies