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View all- Li JZhang MLi NWeyns DJin ZTei K(2024)Generative AI for Self-Adaptive Systems: State of the Art and Research RoadmapACM Transactions on Autonomous and Adaptive Systems10.1145/368680319:3(1-60)Online publication date: 30-Sep-2024
IoT-based automated systems require efficient online time-series analysis and forecasting and there is a growing requirement to enable such processing at the low-cost constrained edge devices. Classical approaches such as Online ...
The support vector regression (SVR) model is a novel forecasting approach and has been successfully used to solve time series problems. However, the applications of SVR models in a seasonal time series forecasting has not been widely investigated. This ...
Many forecasting models based on the concepts of fuzzy time series have been proposed in the past decades. These models have been applied to predict enrollments, temperature, crop production and stock index, etc. In this paper, we present a simple ...
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