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Skip to Search Results- 4Machine Learning
- 1ANCFIS
- 1Anomaly Detection
- 1Complex Fuzzy Systems
- 1Cox Proportional Hazards Model
- 1Data Class Imbalance
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Spring 2023
With rising demands in industry for reliable electrical cable distribution networks comes an inherent need for utility providers to know well the condition of the assets in their network. Heightened expectations from regulators and consumers require methods of reliability assessment to improve...
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Spring 2021
Deep learning has revolutionized many fields that process large amounts of data such as images, video, audio, speech, and text. Anomaly detection, however, is among the areas that still require major advancements. Based on the key traits of deep learning, which are the need for very little hand...
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Fall 2011
The imbalanced learning problem occurs in a large number of economic and health domains of great importance; consequently, it has drawn a significant amount of interest from academia, industry, and government funding agencies. Several researchers have used stratification to alleviate this...
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Fall 2022
A number of architectures and time series forecasting algorithms use complex fuzzy sets, which are extensions of type-1 fuzzy sets. In the complex fuzzy set literature, the two most common forms of fuzzy sets are sinusoidal membership functions and complex Gaussian membership one. However, there...