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This study proposes efficient methods for sequential power flow (SPF) analysis of distribution systems with intermittent photovoltaic (PV) units and fluctuated loads. The proposed methods are based on machine learning techniques; more specifically, they use a regression trees (RTs) algorithm to construct a model for voltage estimation. This model is trained using synthetic data generated by a number...
Image registration is an important operation in many aerospace imaging applications, so that, in this paper a promising approach is proposed for satellite images registration. In this approach, we propose to use the Lorentzian norm as a fitness function with an artificial immune system optimization (AIS) technique to reduce the registration outlier and avoid trapping into local minima. To demonstrate...
Improvement of medical diagnosis, aided computer surgeries and tumor identification requires an accurate image registration approaches. The registration of multimodal medical images is more complicated than the registration of unimodal medical images due to the variation in luminance between the images. In this paper, an accurate multimodal image registration approach using artificial immune system...
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