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Abstract Multivariate time series classification (MTSC) is a critical task in fields such as human activity recognition, medical diagnosis, and industrial process monitoring. Its core problem lies in effectively capturing the complex nonlinear dynamics within and between multidimensional variables. Reservoir computing (RC), as an efficient feature extraction model, offers advantages including low computational resource requirements and fast training speeds.
Abstract To address the challenges of information loss and noise interference in multi-focus image fusion, this paper presents a novel curvelet-domain fusion algorithm based on distance-weighted regional energy (DWRE) and fractal dimension. The proposed method first decomposes the source images using the curvelet transform, obtaining both low- and high-frequency sub-bands.
To investigate the effect of gamma irradiation on the volatile compounds of edible oils. Three types of oilseeds, including peanut, sesame, and flaxseed, were subjected to 8 kGy gamma irradiation, followed by cold pressing to extract their oils. The volatile compounds of the oils were isolated by simultaneous distillation extraction and analyzed by gas chromatography-mass spectrometry.
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