A machine learning-based multiclass classification model for bee colony anomaly identification using an IoT-based audio monitoring system with an edge computing framework.
Sheng-Hao ChenJen-Cheng WangHung-Jen LinMu-Hwa LeeAn-Chi LiuYueh-Lung WuPei-Shou HsuEn-Cheng YangJoe-Air JiangPublished in: Expert Syst. Appl. (2024)
Keyphrases
- multi class
- monitoring system
- machine learning
- error correcting output codes
- support vector machine
- kernel fisher
- multiclass svm
- multi class classification
- cost sensitive
- binary classification
- data mining
- data acquisition
- multiclass classification
- multiclass learning
- pairwise
- feature selection
- multi task
- multiclass support vector machines
- health monitoring
- multiple classes
- cost sensitive classification
- risk minimization
- machine learning algorithms
- active learning
- text classification
- transfer learning