Parasuraman Kumar, Arumugam Maharajan, Vol. 18, No. 10, October 31, 2024
10.3837/tiis.2024.10.010

• Accuracy
• Artificial neural Networks (ANN)
• K-Nearest Neighbors (KNN)
• Maritime Cybersecurity
• precision
• Random Forest (RF)
• recall
• Threat Detection

Arif Djunaidy, Nisrina Fadhilah Fano, Vol. 18, No. 8, August 31, 2024
10.3837/tiis.2024.08.005

• Customer Reviews
• helpfulness reviews
• product aspects
• service aspects
• random forest regression

Minsu Jeong, Namhwa Lee, Byuk Sung Ko, Inwhee Joe, Vol. 17, No. 4, April 30, 2023
10.3837/tiis.2023.04.003

• Digital healthcare
• Artificial intelligence
• Random Forest
• MAP
• Shock patient

Xinqian Liu, Jiadong Ren, Haitao He, Qian Wang, Shengting Sun, Vol. 14, No. 7, July 31, 2020
10.3837/tiis.2020.07.020

• Network Anomaly Detection
• data balancing
• recursive feature addition
• parameters combination optimization
• random forests

LiPing Liu, LinLin Ci, Wei Liu, Hui Yang, Vol. 13, No. 3, March 30, 2019
10.3837/tiis.2019.03.025

• Fault Tolerance
• Error Detection
• Reliability
• SDC-Causing instructions
• Random forests.

Woosik Lee, Namgi Kim, Yoon-Ho Choi, Yong Soo Kim, Byoung-Dai Lee, Vol. 12, No. 8, August 30, 2018
10.3837/tiis.2018.08.023

• Machine Learning
• Random Forest
• Fully Connected Network
• Deep Learning

Wonggi Kim, Junchul Chun, Vol. 9, No. 8, August 30, 2015
10.3837/tiis.2015.08.023

• 3D hand-pose estimation
• Random Forest algorithm
• Depth Map
• Kinect Sensor